Speech

Explore all speech processing open source software, libraries, packages, source code, cloud functions and APIs.

Speech processing is the study of speech signals and the processing methods of signals. The signals are usually processed in a digital representation, so speech processing can be regarded as a special case of digital signal processing, applied to speech signals. Aspects of speech processing includes the acquisition, manipulation, storage, transfer and output of speech signals. The input is called speech recognition and the output is called speech synthesis.

Popular New Releases in Speech

DeepSpeech

v0.10.0-alpha.3

leon

1.0.0-beta.6 / Leon Over HTTP + Making Friends with Coqui STT

wav2letter

v0.2 (pre Flashlight-consolidation)

pydub

v0.25.1

TTS

TTS v0.0.9 (first release)

Popular Libraries in Speech

Real-Time-Voice-Cloning

by CorentinJ python

32619 NOASSERTION

Clone a voice in 5 seconds to generate arbitrary speech in real-time

DeepSpeech

by mozilla c++

18003 MPL-2.0

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

kaldi

by kaldi-asr shell

10821 NOASSERTION

kaldi-asr/kaldi is the official location of the Kaldi project.

zeal

by zealdocs c++

8973 GPL-3.0

Offline documentation browser inspired by Dash

leon

by leon-ai javascript

8625 MIT

🧠 Leon is your open-source personal assistant.

annyang

by TalAter javascript

6145 MIT

:speech_balloon: Speech recognition for your site

wav2letter

by flashlight c++

5927 NOASSERTION

Facebook AI Research's Automatic Speech Recognition Toolkit

speech_recognition

by Uberi python

5813 NOASSERTION

Speech recognition module for Python, supporting several engines and APIs, online and offline.

pydub

by jiaaro python

5557 MIT

Manipulate audio with a simple and easy high level interface

Explore all libraries in Speech

Trending New libraries in Speech

TTS

by coqui-ai python

4575 MPL-2.0

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

TensorFlowTTS

by TensorSpeech python

2140 Apache-2.0

:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)

wenet

by wenet-e2e c++

1943 Apache-2.0

Production First and Production Ready End-to-End Speech Recognition Toolkit

spot-sdk

by boston-dynamics python

1812 NOASSERTION

Spot SDK repo

STT

by coqui-ai c++

1158 MPL-2.0

🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.

pororo

by kakaobrain python

925 NOASSERTION

PORORO: Platform Of neuRal mOdels for natuRal language prOcessing

svoice

by facebookresearch python

803 NOASSERTION

We provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously. The new method employs gated neural networks that are trained to separate the voices at multiple processing steps, while maintaining the speaker in each output channel fixed. A different model is trained for every number of possible speakers, and the model with the largest number of speakers is employed to select the actual number of speakers in a given sample. Our method greatly outperforms the current state of the art, which, as we show, is not competitive for more than two speakers.

TransformerTTS

by as-ideas python

712 NOASSERTION

🤖💬 Transformer TTS: Implementation of a non-autoregressive Transformer based neural network for text to speech.

wenet

by mobvoi python

687 Apache-2.0

Production First and Production Ready End-to-End Speech Recognition Toolkit

Top Authors in Speech

IBM

16 Libraries

323

rishikksh20

12 Libraries

739

sooftware

12 Libraries

929

r9y9

10 Libraries

5354

olami-developers

10 Libraries

microsoft

10 Libraries

943

speechly

9 Libraries

305

mozilla

9 Libraries

23389

synesthesiam

9 Libraries

746

Kaljurand

9 Libraries

597

IBM

16 Libraries

323

rishikksh20

12 Libraries

739

sooftware

12 Libraries

929

r9y9

10 Libraries

5354

olami-developers

10 Libraries

microsoft

10 Libraries

943

speechly

9 Libraries

305

mozilla

9 Libraries

23389

synesthesiam

9 Libraries

746

Kaljurand

9 Libraries

597

Trending Kits in Speech

Speech Recognition in Python

Real-time speech recognition in Python refers to the ability of a computer program to transcribe spoken words into written text in real-time. You can use a library like SpeechRecognition to recognize speech in real time in Python. It supports several various engines and APIs, such as Microsoft Bing Voice Recognition and Google Speech Recognition.

Real-time voice recognition in Python has a wide range of uses, including:

Voice-controlled assistants: These virtual assistants, like Siri or Alexa, can be operated via voice commands.
Speech-to-text transcription: This tool turns audible words into written text and is useful in professions including journalism, law, and medicine.
Voice biometrics: This application uses a person's distinctive voice patterns to authenticate and identify them.
Real-time language translation: This program helps people who speak various languages communicate more easily by translating spoken words from one language to another.
Speech-based accessibility: Applications that assist people with disabilities, such as text-to-speech or speech-to-text for the visually impaired.

Here is how you can recognize speech in real-time in Python:

Fig 1: Preview of the output that you will get on running this code from your IDE

Code

In this solution, we use the Recognizer function of the Speech Recognition library

Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
Run the file. You will be prompted to speak something through your microphone
The speech in real-time gets processed and displayed on screen

I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.

I found this code snippet by searching for "speech recognition in python" in kandi. You can try any such use case!

Dependent Libraries

If you do not have Speech Recognition that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the Speech Recognition page in kandi.

You can search for any dependent library on kandi like SpeechRecognition.

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

The solution is created in Python3.9.
The solution is tested on SpeechRecognition 3.8.1 and PyAudio 0.2.12 versions.

Using this solution, we are able to make blurred images using the OpenCV library in Python with simple steps. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us to recognize speech in real-time in Python.

Support

For any support on kandi solution kits, please use the chat
For further learning resources, visit the Open Weaver Community learning page.

18 best Python Speech Recognition Libraries for 2023

Speech recognition is converting spoken words to text. It supports Google Speech Engine, Cloud Speech API, Bing Voice Recognition, and IBM Speech.

As we know Python is a multipurpose language that can be used for developing various applications including web apps. Python has many libraries dedicated to speech recognition, text-to-speech conversion, and text analysis.

In this article, I have listed some of the best Python Speech Recognition libraries with their key features. In this kit, we will go through some of the best Python Speech Recognition libraries like Real-Time-Voice-Cloning - 5 seconds to generate arbitrary speech; speech_recognition - Speech recognition module for Python, supporting several engines; wav2letter - Facebook AI Research's Automatic Speech Recognition Toolkit. Find the top 18 best Python Speech Recognition libraries in 2022.

Build an AI based Speech Emotion Detector

Emotion Detection and Recognition is related to Sentiment Analysis. Sentiment Analysis aims to detect positive, neutral, or negative feelings from text.

Emotion Analysis aims to detect and recognize types of feelings through the expression of texts, such as joy, anger, fear, sadness.

In this kit, we build an AI based Speech Emotion Detector using open-source libraries. The concepts covered in the kit are:

Voice-to-text transcription- The speech can be captured in real-time through the microphone or by uploading an audio file. It is then converted to text using state-of-the-art Opensource AI models from OpenAI Whisper library.
Emotion detection- Emotion detection on the transcribed text is carried out using a finetuned XLM-RoBERTa model.

Whisper is a general-purpose speech recognition model released by OpenAI that can perform multilingual speech recognition as well as speech translation and language identification. Combined with an emotion detection model, this allows for detecting emotion directly from speech in multiple languages.

XLM-RoBERTa is a multilingual version of RoBERTa. It is pre-trained on 2.5TB of filtered CommonCrawl data containing 100 languages. It can be finetuned to perform any specific task such as emotion classification, text completion etc. Combining these, the emotion detection model could be used to transcribe and detect different emotions to enable a data-driven analysis.

Libraries used in this solution

Development Environment

VSCode and Jupyter Notebook are used for development and debugging. Jupyter Notebook is a web based interactive environment often used for experiments, whereas VSCode is used to get a typical experience of IDE for developers.

Jupyter Notebook is used for our development.

Machine Learning

Machine learning libraries and frameworks here are helpful in providing state-of-the-art solutions using Machine learning

Kit Solution Source

APP Interface

Support

For any support, you can reach us at OpenWeaver Community Support

1-Click Install

How to Add Text to Speech GUI convertor using Tkinter in Python

Tkinter provides a fast and easy way to create GUI applications in Python. It helps achieve compelling choices for building GUI applications in Python. We can able to achieve compelling choices for building GUI applications in Python.

We can able to make a computer understand human languages in Python language. For that, here we have a library called 'Speech Recognition'(open source module), which is used to listen to spoken words and identify the user's voice. You can also feed some programs for some devices to respond to these spoken words. For example, we can feed some commands to a robot like switching off the fan, turning on the AC, etc. Speech Recognition allows our computer's microphone to recognize the speech. For that, we'll have to install a library called 'PyAudio' which is used to recognize our voice and as well to play the sound. It is mainly used for binding the audio and recording the voice of the users on a variety of platforms.

Google Speech-to-Text is a well-known speech transcription API for the speech recognition library and there is one more API called DeepSpeech which is an open-source embedded speech-to-text engine designed to run in real-time devices. Speech recognition is the most significant part of AI, where AI is nothing but has the ability to mimic human behavior and learn the environment from it. The use of the Tkinter library is to create Graphical User Interface(GUI) and it includes all standard distributions in python. It has a variety of methods like "pack(), grid(), and place()".

Here is an example of how you can add text to speech GUI converter using Tkinter in Python:

Fig : Preview of the output that you will get on running this code from your IDE.

Code

In this solution we're using SpeechRecognition, PyAudio libraries and Tkinter libraries.

Instructions

Follow the steps carefully to get the output easily.

Install SpeechRecognition and PyAudio on your IDE(Any of your favorite IDE).
Open terminal and install the above mentioned libraries using the command given in 3 & 4 steps.
Speech Recognition - pip install SpeechRecognition.
PyAudio - pip install PyAudio.
Copy the snippet using the 'copy' and paste it in your IDE.
Run the file to generate the output.

I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.

I found this code snippet by searching for 'integrate speech recognition and tkinter' in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

The solution is created in PyCharm 2021.3.
The solution is tested on Python 3.9.7.
SpeechRecognition version-3.9.0.
PyAudio version-0.2.13.

Using this solution, we are able to integrate speech recognition and tkinter with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to integrate speech recognition and tkinter.

Dependent Libraries

You can also search for any dependent libraries on kandi like 'SpeechRecognition','PyAudio' and 'tkinter'.

Support

For any support on kandi solution kits, please use the chat
For further learning resources, visit the Open Weaver Community learning page.

How to Perform Real-Time Speech Recognition in Python

Real-time speech recognition in Python refers to the ability of a computer program to transcribe spoken words into written text in real time. You can use a library like SpeechRecognition to recognize speech in real-time in Python. It supports several various engines and APIs, such as Microsoft Bing Voice Recognition and Google Speech Recognition.

Real-time voice recognition in Python has a wide range of uses, including:

Voice-controlled assistants: These virtual assistants, like Siri or Alexa, can be operated via voice commands.
Speech-to-text transcription: This tool turns audible words into written text and is useful in professions including journalism, law, and medicine.
Voice biometrics: This application uses a person's distinctive voice patterns to authenticate and identify them.
Real-time language translation: This program helps people who speak various languages communicate more easily by translating spoken words from one language to another.
Speech-based accessibility: Applications that assist people with disabilities, such as text-to-speech or speech-to-text for the visually impaired.

Here is how you can recognize speech in real time in Python:

Fig : Preview of the output that you will get on running this code from your IDE.

Code

In this solution we're using SpeechRecognition and PyAudio libraries.

Instructions

Follow the steps carefully to get the output easily.

Install SpeechRecognition and PyAudio on your IDE(Any of your favorite IDE).
Open terminal and install the above mentioned libraries using the command given in 3 & 4 steps.
Speech Recognition - pip install SpeechRecognition.
PyAudio - pip install PyAudio.
Copy the snippet using the 'copy' and paste it in your IDE.
Run the file to generate the output.

I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.

I found this code snippet by searching for 'Speech recognition using python' in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

The solution is created in PyCharm 2021.3.
The solution is tested on Python 3.9.7.
SpeechRecognition version-3.9.0.
PyAudio version-0.2.13.

Using this solution, we are able to implement speech recognition using python with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to implement speech recognition using python.

Dependent Libraries

You can also search for any dependent libraries on kandi like 'SpeechRecognition' and 'PyAudio'.

Support

For any support on kandi solution kits, please use the chat
For further learning resources, visit the Open Weaver Community learning page.

Real-Time Speech-to-Text Translation in Python using Speech Recognition and Googletrans

DESCRIPTION

The provided Python code demonstrates a real-time speech-to-text translation system using the SpeechRecognition and Googletrans libraries. The purpose of this code is to convert spoken language into written text and then translate it into the desired target language.

The code consists of two main functions:

speech_to_text(): This function utilizes the SpeechRecognition library to capture audio input from the default microphone. It then attempts to convert the speech to text using the Google Web Speech API. If successful, the recognized text is printed to the console. If there is an issue with speech recognition (e.g., when the input speech is not clear or recognizable), appropriate error messages are displayed.
translate_text(text, target_language='ta'): In this function, the Googletrans library is used to translate the input text into the target language. By default, the target language is set to Tamil ('ta'), but you can specify any other language code as needed. The translated text is printed to the console, and it is also returned for further use.

The code demonstrates a practical implementation of real-time speech recognition and translation, which could have various applications, such as language learning, multilingual communication, and voice-controlled systems.

Note: Ensure that you have the required dependencies, such as SpeechRecognition and Googletrans, installed in your Python environment to run the code successfully.

DEPENDENT LIBRARIES

GITHUB REPOSITORY LINK

AkashS333/Real-Time-Speech-to-Text-Translation-in-Python-using-Speech-Recognition (github.com)

SOLUTION SOURCE SCREENSHOT

7 Best C++ Speech Recognition Libraries 2024

Here are some of the famous C++ Speech Recognition Libraries. Some use cases of C++ Speech Recognition Libraries include Automated Voice Assistants, Voice-Enabled Games, Voice-Enabled Mobile Apps, Voice-Controlled Robotics, Voice-Enabled Chatbots, Voice-controlled Home Automation, Language Translators, and Text-to-Speech Conversion.

C++ speech recognition libraries are sets of software tools and libraries written in the C++ programming language that are designed to enable developers to create applications that can recognize and respond to spoken commands. These libraries may include tools for voice recognition, speech synthesis, natural language processing, and other related tasks.

Let us have a look at some of the famous C++ Speech Recognition Libraries.

sphinx

Highly configurable, allowing developers to customize it to their needs.
Supports continuous speech recognition, allowing for continuous dictation.
Wide range of applications, from voice-driven search engines to interactive home automation systems.

kaldi-gop

Faster and more accurate speech recognition library than other C++ libraries.
Enables users to quickly create and train acoustic models, making it ideal for real-time applications.
Provides excellent integration with other open-source libraries, such as OpenFst and HTK.

AaltoASR

Speech recognition accuracy is higher than many other C++ speech recognition libraries.
Designed to be user-friendly, making it easy to integrate into existing applications.
an be compiled for Windows, Linux and MacOS, making it suitable for a wide range of applications.

openEAR

Tightly integrated with the CMU Sphinx speech recognizer.
Supports multiple languages and can be customized for specific languages or dialects.
Provides a robust set of tools for pre-processing and analyzing speech data.

htk

Full-scale speech recognition system which can be used for both research and industrial applications.
Wide range of signal processing, acoustic modeling, and language modeling algorithms.
A graphical user interface that makes it more straightforward to work with.

Listener

Compatible with multiple operating systems, including Windows, Mac, and Linux.
Processes speech and audio commands quickly, allowing for fast responses and actions.
High accuracy rate for speech recognition, making it a reliable and trustworthy library.

PocketSphinx

Designed to be fast and responsive, ensuring quick recognition times for the user.
Straightforward library, making it easy to use for developers with any level of experience.
Can be freely modified and redistributed.

More kits in Speech

Trending Discussions on Speech

Enable use of images from the local library on Kubernetes

IndexError: tuple index out of range when I try to create an executable from a python script using auto-py-to-exe

Google Actions Builder stops execution when selecting a visual item from a List

How to use muti-language in 'gTTS' for single input line?

Assigning True/False if a token is present in a data-frame

speechSynthesis.getVoices (Web Speech API) doesn't show some of the locally installed voices

Combining Object Detection with Text to Speech Code

Yielding values from consecutive parallel parse functions via meta in Scrapy

Rails. Puma stops working when instantiating a client of Google Cloud Text-to-Speech (Windows)

R - Regular Expression to Extract Text Between Parentheses That Contain Keyword

Enable use of images from the local library on Kubernetes

IndexError: tuple index out of range when I try to create an executable from a python script using auto-py-to-exe

Google Actions Builder stops execution when selecting a visual item from a List

How to use muti-language in 'gTTS' for single input line?

Assigning True/False if a token is present in a data-frame

speechSynthesis.getVoices (Web Speech API) doesn't show some of the locally installed voices

Combining Object Detection with Text to Speech Code

Yielding values from consecutive parallel parse functions via meta in Scrapy

Rails. Puma stops working when instantiating a client of Google Cloud Text-to-Speech (Windows)

R - Regular Expression to Extract Text Between Parentheses That Contain Keyword

QUESTION

Enable use of images from the local library on Kubernetes

Asked 2022-Mar-20 at 13:23

I'm following a tutorial https://docs.openfaas.com/tutorials/first-python-function/,

currently, I have the right image

1$ docker images | grep hello-openfaas
2wm/hello-openfaas                                     latest                          bd08d01ce09b   34 minutes ago      65.2MB
3$ faas-cli deploy -f ./hello-openfaas.yml 
4Deploying: hello-openfaas.
5WARNING! You are not using an encrypted connection to the gateway, consider using HTTPS.
6
7Deployed. 202 Accepted.
8URL: http://IP:8099/function/hello-openfaas
9

there is a step that forewarns me to do some setup(My case is I'm using Kubernetes and minikube and don't want to push to a remote container registry, I should enable the use of images from the local library on Kubernetes.), I see the hints

1$ docker images | grep hello-openfaas
2wm/hello-openfaas                                     latest                          bd08d01ce09b   34 minutes ago      65.2MB
3$ faas-cli deploy -f ./hello-openfaas.yml 
4Deploying: hello-openfaas.
5WARNING! You are not using an encrypted connection to the gateway, consider using HTTPS.
6
7Deployed. 202 Accepted.
8URL: http://IP:8099/function/hello-openfaas
9see the helm chart for how to set the ImagePullPolicy
10

I'm not sure how to configure it correctly. the final result indicates I failed.

Unsurprisingly, I couldn't access the function service, I find some clues in https://docs.openfaas.com/deployment/troubleshooting/#openfaas-didnt-start which might help to diagnose the problem.

1$ docker images | grep hello-openfaas
2wm/hello-openfaas                                     latest                          bd08d01ce09b   34 minutes ago      65.2MB
3$ faas-cli deploy -f ./hello-openfaas.yml 
4Deploying: hello-openfaas.
5WARNING! You are not using an encrypted connection to the gateway, consider using HTTPS.
6
7Deployed. 202 Accepted.
8URL: http://IP:8099/function/hello-openfaas
9see the helm chart for how to set the ImagePullPolicy
10$ kubectl logs -n openfaas-fn deploy/hello-openfaas
11Error from server (BadRequest): container &quot;hello-openfaas&quot; in pod &quot;hello-openfaas-558f99477f-wd697&quot; is waiting to start: trying and failing to pull image
12
13$ kubectl describe -n openfaas-fn deploy/hello-openfaas
14Name:                   hello-openfaas
15Namespace:              openfaas-fn
16CreationTimestamp:      Wed, 16 Mar 2022 14:59:49 +0800
17Labels:                 faas_function=hello-openfaas
18Annotations:            deployment.kubernetes.io/revision: 1
19                        prometheus.io.scrape: false
20Selector:               faas_function=hello-openfaas
21Replicas:               1 desired | 1 updated | 1 total | 0 available | 1 unavailable
22StrategyType:           RollingUpdate
23MinReadySeconds:        0
24RollingUpdateStrategy:  0 max unavailable, 1 max surge
25Pod Template:
26  Labels:       faas_function=hello-openfaas
27  Annotations:  prometheus.io.scrape: false
28  Containers:
29   hello-openfaas:
30    Image:      wm/hello-openfaas:latest
31    Port:       8080/TCP
32    Host Port:  0/TCP
33    Liveness:   http-get http://:8080/_/health delay=2s timeout=1s period=2s #success=1 #failure=3
34    Readiness:  http-get http://:8080/_/health delay=2s timeout=1s period=2s #success=1 #failure=3
35    Environment:
36      fprocess:  python3 index.py
37    Mounts:      &lt;none&gt;
38  Volumes:       &lt;none&gt;
39Conditions:
40  Type           Status  Reason
41  ----           ------  ------
42  Available      False   MinimumReplicasUnavailable
43  Progressing    False   ProgressDeadlineExceeded
44OldReplicaSets:  &lt;none&gt;
45NewReplicaSet:   hello-openfaas-558f99477f (1/1 replicas created)
46Events:
47  Type    Reason             Age   From                   Message
48  ----    ------             ----  ----                   -------
49  Normal  ScalingReplicaSet  29m   deployment-controller  Scaled up replica set hello-openfaas-558f99477f to 1
50

hello-openfaas.yml

1$ docker images | grep hello-openfaas
2wm/hello-openfaas                                     latest                          bd08d01ce09b   34 minutes ago      65.2MB
3$ faas-cli deploy -f ./hello-openfaas.yml 
4Deploying: hello-openfaas.
5WARNING! You are not using an encrypted connection to the gateway, consider using HTTPS.
6
7Deployed. 202 Accepted.
8URL: http://IP:8099/function/hello-openfaas
9see the helm chart for how to set the ImagePullPolicy
10$ kubectl logs -n openfaas-fn deploy/hello-openfaas
11Error from server (BadRequest): container &quot;hello-openfaas&quot; in pod &quot;hello-openfaas-558f99477f-wd697&quot; is waiting to start: trying and failing to pull image
12
13$ kubectl describe -n openfaas-fn deploy/hello-openfaas
14Name:                   hello-openfaas
15Namespace:              openfaas-fn
16CreationTimestamp:      Wed, 16 Mar 2022 14:59:49 +0800
17Labels:                 faas_function=hello-openfaas
18Annotations:            deployment.kubernetes.io/revision: 1
19                        prometheus.io.scrape: false
20Selector:               faas_function=hello-openfaas
21Replicas:               1 desired | 1 updated | 1 total | 0 available | 1 unavailable
22StrategyType:           RollingUpdate
23MinReadySeconds:        0
24RollingUpdateStrategy:  0 max unavailable, 1 max surge
25Pod Template:
26  Labels:       faas_function=hello-openfaas
27  Annotations:  prometheus.io.scrape: false
28  Containers:
29   hello-openfaas:
30    Image:      wm/hello-openfaas:latest
31    Port:       8080/TCP
32    Host Port:  0/TCP
33    Liveness:   http-get http://:8080/_/health delay=2s timeout=1s period=2s #success=1 #failure=3
34    Readiness:  http-get http://:8080/_/health delay=2s timeout=1s period=2s #success=1 #failure=3
35    Environment:
36      fprocess:  python3 index.py
37    Mounts:      &lt;none&gt;
38  Volumes:       &lt;none&gt;
39Conditions:
40  Type           Status  Reason
41  ----           ------  ------
42  Available      False   MinimumReplicasUnavailable
43  Progressing    False   ProgressDeadlineExceeded
44OldReplicaSets:  &lt;none&gt;
45NewReplicaSet:   hello-openfaas-558f99477f (1/1 replicas created)
46Events:
47  Type    Reason             Age   From                   Message
48  ----    ------             ----  ----                   -------
49  Normal  ScalingReplicaSet  29m   deployment-controller  Scaled up replica set hello-openfaas-558f99477f to 1
50version: 1.0
51provider:
52  name: openfaas
53  gateway: http://IP:8099
54functions:
55  hello-openfaas:
56    lang: python3
57    handler: ./hello-openfaas
58    image: wm/hello-openfaas:latest
59    imagePullPolicy: Never
60

I create a new project hello-openfaas2 to reproduce this error

1$ docker images | grep hello-openfaas
2wm/hello-openfaas                                     latest                          bd08d01ce09b   34 minutes ago      65.2MB
3$ faas-cli deploy -f ./hello-openfaas.yml 
4Deploying: hello-openfaas.
5WARNING! You are not using an encrypted connection to the gateway, consider using HTTPS.
6
7Deployed. 202 Accepted.
8URL: http://IP:8099/function/hello-openfaas
9see the helm chart for how to set the ImagePullPolicy
10$ kubectl logs -n openfaas-fn deploy/hello-openfaas
11Error from server (BadRequest): container &quot;hello-openfaas&quot; in pod &quot;hello-openfaas-558f99477f-wd697&quot; is waiting to start: trying and failing to pull image
12
13$ kubectl describe -n openfaas-fn deploy/hello-openfaas
14Name:                   hello-openfaas
15Namespace:              openfaas-fn
16CreationTimestamp:      Wed, 16 Mar 2022 14:59:49 +0800
17Labels:                 faas_function=hello-openfaas
18Annotations:            deployment.kubernetes.io/revision: 1
19                        prometheus.io.scrape: false
20Selector:               faas_function=hello-openfaas
21Replicas:               1 desired | 1 updated | 1 total | 0 available | 1 unavailable
22StrategyType:           RollingUpdate
23MinReadySeconds:        0
24RollingUpdateStrategy:  0 max unavailable, 1 max surge
25Pod Template:
26  Labels:       faas_function=hello-openfaas
27  Annotations:  prometheus.io.scrape: false
28  Containers:
29   hello-openfaas:
30    Image:      wm/hello-openfaas:latest
31    Port:       8080/TCP
32    Host Port:  0/TCP
33    Liveness:   http-get http://:8080/_/health delay=2s timeout=1s period=2s #success=1 #failure=3
34    Readiness:  http-get http://:8080/_/health delay=2s timeout=1s period=2s #success=1 #failure=3
35    Environment:
36      fprocess:  python3 index.py
37    Mounts:      &lt;none&gt;
38  Volumes:       &lt;none&gt;
39Conditions:
40  Type           Status  Reason
41  ----           ------  ------
42  Available      False   MinimumReplicasUnavailable
43  Progressing    False   ProgressDeadlineExceeded
44OldReplicaSets:  &lt;none&gt;
45NewReplicaSet:   hello-openfaas-558f99477f (1/1 replicas created)
46Events:
47  Type    Reason             Age   From                   Message
48  ----    ------             ----  ----                   -------
49  Normal  ScalingReplicaSet  29m   deployment-controller  Scaled up replica set hello-openfaas-558f99477f to 1
50version: 1.0
51provider:
52  name: openfaas
53  gateway: http://IP:8099
54functions:
55  hello-openfaas:
56    lang: python3
57    handler: ./hello-openfaas
58    image: wm/hello-openfaas:latest
59    imagePullPolicy: Never
60$ faas-cli new --lang python3 hello-openfaas2 --prefix=&quot;wm&quot;
61Folder: hello-openfaas2 created.
62# I add `imagePullPolicy: Never` to `hello-openfaas2.yml`
63$ faas-cli build -f ./hello-openfaas2.yml 
64$ faas-cli deploy -f ./hello-openfaas2.yml 
65Deploying: hello-openfaas2.
66WARNING! You are not using an encrypted connection to the gateway, consider using HTTPS.
67
68Deployed. 202 Accepted.
69URL: http://192.168.1.3:8099/function/hello-openfaas2
70
71
72$ kubectl logs -n openfaas-fn deploy/hello-openfaas2
73Error from server (BadRequest): container &quot;hello-openfaas2&quot; in pod &quot;hello-openfaas2-7c67488865-7d7vm&quot; is waiting to start: image can't be pulled
74
75$ kubectl get pods --all-namespaces
76NAMESPACE              NAME                                        READY   STATUS             RESTARTS         AGE
77kube-system            coredns-64897985d-kp7vf                     1/1     Running            0                47h
78...
79openfaas-fn            env-6c79f7b946-bzbtm                        1/1     Running            0                4h28m
80openfaas-fn            figlet-54db496f88-957xl                     1/1     Running            0                18h
81openfaas-fn            hello-openfaas-547857b9d6-z277c             0/1     ImagePullBackOff   0                127m
82openfaas-fn            hello-openfaas-7b6946b4f9-hcvq4             0/1     ImagePullBackOff   0                165m
83openfaas-fn            hello-openfaas2-7c67488865-qmrkl            0/1     ImagePullBackOff   0                13m
84openfaas-fn            hello-openfaas3-65847b8b67-b94kd            0/1     ImagePullBackOff   0                97m
85openfaas-fn            hello-python-554b464498-zxcdv               0/1     ErrImagePull       0                3h23m
86openfaas-fn            hello-python-8698bc68bd-62gh9               0/1     ImagePullBackOff   0                3h25m
87

from https://docs.openfaas.com/reference/yaml/, I know I put the imagePullPolicy in the wrong place, there is no such keyword in its schema.

I also tried eval $(minikube docker-env and still get the same error.

I've a feeling that faas-cli deploy can be replace by helm, they all mean to run the image(whether from remote or local) in Kubernetes cluster, then I can use helm chart to setup the pullPolicy there. Even though the detail is not still clear to me, This discovery inspires me.

So far, after eval $(minikube docker-env)

1$ docker images | grep hello-openfaas
2wm/hello-openfaas                                     latest                          bd08d01ce09b   34 minutes ago      65.2MB
3$ faas-cli deploy -f ./hello-openfaas.yml 
4Deploying: hello-openfaas.
5WARNING! You are not using an encrypted connection to the gateway, consider using HTTPS.
6
7Deployed. 202 Accepted.
8URL: http://IP:8099/function/hello-openfaas
9see the helm chart for how to set the ImagePullPolicy
10$ kubectl logs -n openfaas-fn deploy/hello-openfaas
11Error from server (BadRequest): container &quot;hello-openfaas&quot; in pod &quot;hello-openfaas-558f99477f-wd697&quot; is waiting to start: trying and failing to pull image
12
13$ kubectl describe -n openfaas-fn deploy/hello-openfaas
14Name:                   hello-openfaas
15Namespace:              openfaas-fn
16CreationTimestamp:      Wed, 16 Mar 2022 14:59:49 +0800
17Labels:                 faas_function=hello-openfaas
18Annotations:            deployment.kubernetes.io/revision: 1
19                        prometheus.io.scrape: false
20Selector:               faas_function=hello-openfaas
21Replicas:               1 desired | 1 updated | 1 total | 0 available | 1 unavailable
22StrategyType:           RollingUpdate
23MinReadySeconds:        0
24RollingUpdateStrategy:  0 max unavailable, 1 max surge
25Pod Template:
26  Labels:       faas_function=hello-openfaas
27  Annotations:  prometheus.io.scrape: false
28  Containers:
29   hello-openfaas:
30    Image:      wm/hello-openfaas:latest
31    Port:       8080/TCP
32    Host Port:  0/TCP
33    Liveness:   http-get http://:8080/_/health delay=2s timeout=1s period=2s #success=1 #failure=3
34    Readiness:  http-get http://:8080/_/health delay=2s timeout=1s period=2s #success=1 #failure=3
35    Environment:
36      fprocess:  python3 index.py
37    Mounts:      &lt;none&gt;
38  Volumes:       &lt;none&gt;
39Conditions:
40  Type           Status  Reason
41  ----           ------  ------
42  Available      False   MinimumReplicasUnavailable
43  Progressing    False   ProgressDeadlineExceeded
44OldReplicaSets:  &lt;none&gt;
45NewReplicaSet:   hello-openfaas-558f99477f (1/1 replicas created)
46Events:
47  Type    Reason             Age   From                   Message
48  ----    ------             ----  ----                   -------
49  Normal  ScalingReplicaSet  29m   deployment-controller  Scaled up replica set hello-openfaas-558f99477f to 1
50version: 1.0
51provider:
52  name: openfaas
53  gateway: http://IP:8099
54functions:
55  hello-openfaas:
56    lang: python3
57    handler: ./hello-openfaas
58    image: wm/hello-openfaas:latest
59    imagePullPolicy: Never
60$ faas-cli new --lang python3 hello-openfaas2 --prefix=&quot;wm&quot;
61Folder: hello-openfaas2 created.
62# I add `imagePullPolicy: Never` to `hello-openfaas2.yml`
63$ faas-cli build -f ./hello-openfaas2.yml 
64$ faas-cli deploy -f ./hello-openfaas2.yml 
65Deploying: hello-openfaas2.
66WARNING! You are not using an encrypted connection to the gateway, consider using HTTPS.
67
68Deployed. 202 Accepted.
69URL: http://192.168.1.3:8099/function/hello-openfaas2
70
71
72$ kubectl logs -n openfaas-fn deploy/hello-openfaas2
73Error from server (BadRequest): container &quot;hello-openfaas2&quot; in pod &quot;hello-openfaas2-7c67488865-7d7vm&quot; is waiting to start: image can't be pulled
74
75$ kubectl get pods --all-namespaces
76NAMESPACE              NAME                                        READY   STATUS             RESTARTS         AGE
77kube-system            coredns-64897985d-kp7vf                     1/1     Running            0                47h
78...
79openfaas-fn            env-6c79f7b946-bzbtm                        1/1     Running            0                4h28m
80openfaas-fn            figlet-54db496f88-957xl                     1/1     Running            0                18h
81openfaas-fn            hello-openfaas-547857b9d6-z277c             0/1     ImagePullBackOff   0                127m
82openfaas-fn            hello-openfaas-7b6946b4f9-hcvq4             0/1     ImagePullBackOff   0                165m
83openfaas-fn            hello-openfaas2-7c67488865-qmrkl            0/1     ImagePullBackOff   0                13m
84openfaas-fn            hello-openfaas3-65847b8b67-b94kd            0/1     ImagePullBackOff   0                97m
85openfaas-fn            hello-python-554b464498-zxcdv               0/1     ErrImagePull       0                3h23m
86openfaas-fn            hello-python-8698bc68bd-62gh9               0/1     ImagePullBackOff   0                3h25m
87$ docker images
88REPOSITORY                                TAG        IMAGE ID       CREATED             SIZE
89wm/hello-openfaas2                        0.1        03c21bd96d5e   About an hour ago   65.2MB
90python                                    3-alpine   69fba17b9bae   12 days ago         48.6MB
91ghcr.io/openfaas/figlet                   latest     ca5eef0de441   2 weeks ago         14.8MB
92ghcr.io/openfaas/alpine                   latest     35f3d4be6bb8   2 weeks ago         14.2MB
93ghcr.io/openfaas/faas-netes               0.14.2     524b510505ec   3 weeks ago         77.3MB
94k8s.gcr.io/kube-apiserver                 v1.23.3    f40be0088a83   7 weeks ago         135MB
95k8s.gcr.io/kube-controller-manager        v1.23.3    b07520cd7ab7   7 weeks ago         125MB
96k8s.gcr.io/kube-scheduler                 v1.23.3    99a3486be4f2   7 weeks ago         53.5MB
97k8s.gcr.io/kube-proxy                     v1.23.3    9b7cc9982109   7 weeks ago         112MB
98ghcr.io/openfaas/gateway                  0.21.3     ab4851262cd1   7 weeks ago         30.6MB
99ghcr.io/openfaas/basic-auth               0.21.3     16e7168a17a3   7 weeks ago         14.3MB
100k8s.gcr.io/etcd                           3.5.1-0    25f8c7f3da61   4 months ago        293MB
101ghcr.io/openfaas/classic-watchdog         0.2.0      6f97aa96da81   4 months ago        8.18MB
102k8s.gcr.io/coredns/coredns                v1.8.6     a4ca41631cc7   5 months ago        46.8MB
103k8s.gcr.io/pause                          3.6        6270bb605e12   6 months ago        683kB
104ghcr.io/openfaas/queue-worker             0.12.2     56e7216201bc   7 months ago        7.97MB
105kubernetesui/dashboard                    v2.3.1     e1482a24335a   9 months ago        220MB
106kubernetesui/metrics-scraper              v1.0.7     7801cfc6d5c0   9 months ago        34.4MB
107nats-streaming                            0.22.0     12f2d32e0c9a   9 months ago        19.8MB
108gcr.io/k8s-minikube/storage-provisioner   v5         6e38f40d628d   11 months ago       31.5MB
109functions/markdown-render                 latest     93b5da182216   2 years ago         24.6MB
110functions/hubstats                        latest     01affa91e9e4   2 years ago         29.3MB
111functions/nodeinfo                        latest     2fe8a87bf79c   2 years ago         71.4MB
112functions/alpine                          latest     46c6f6d74471   2 years ago         21.5MB
113prom/prometheus                           v2.11.0    b97ed892eb23   2 years ago         126MB
114prom/alertmanager                         v0.18.0    ce3c87f17369   2 years ago         51.9MB
115alexellis2/openfaas-colorization          0.4.1      d36b67b1b5c1   2 years ago         1.84GB
116rorpage/text-to-speech                    latest     5dc20810eb54   2 years ago         86.9MB
117stefanprodan/faas-grafana                 4.6.3      2a4bd9caea50   4 years ago         284MB
118
119$ kubectl get pods --all-namespaces
120NAMESPACE              NAME                                        READY   STATUS             RESTARTS        AGE
121kube-system            coredns-64897985d-kp7vf                     1/1     Running            0               6d
122kube-system            etcd-minikube                               1/1     Running            0               6d
123kube-system            kube-apiserver-minikube                     1/1     Running            0               6d
124kube-system            kube-controller-manager-minikube            1/1     Running            0               6d
125kube-system            kube-proxy-5m8lr                            1/1     Running            0               6d
126kube-system            kube-scheduler-minikube                     1/1     Running            0               6d
127kube-system            storage-provisioner                         1/1     Running            1 (6d ago)      6d
128kubernetes-dashboard   dashboard-metrics-scraper-58549894f-97tsv   1/1     Running            0               5d7h
129kubernetes-dashboard   kubernetes-dashboard-ccd587f44-lkwcx        1/1     Running            0               5d7h
130openfaas-fn            base64-6bdbcdb64c-djz8f                     1/1     Running            0               5d1h
131openfaas-fn            colorise-85c74c686b-2fz66                   1/1     Running            0               4d5h
132openfaas-fn            echoit-5d7df6684c-k6ljn                     1/1     Running            0               5d1h
133openfaas-fn            env-6c79f7b946-bzbtm                        1/1     Running            0               4d5h
134openfaas-fn            figlet-54db496f88-957xl                     1/1     Running            0               4d19h
135openfaas-fn            hello-openfaas-547857b9d6-z277c             0/1     ImagePullBackOff   0               4d3h
136openfaas-fn            hello-openfaas-7b6946b4f9-hcvq4             0/1     ImagePullBackOff   0               4d3h
137openfaas-fn            hello-openfaas2-5c6f6cb5d9-24hkz            0/1     ImagePullBackOff   0               9m22s
138openfaas-fn            hello-openfaas2-8957bb47b-7cgjg             0/1     ImagePullBackOff   0               2d22h
139openfaas-fn            hello-openfaas3-65847b8b67-b94kd            0/1     ImagePullBackOff   0               4d2h
140openfaas-fn            hello-python-6d6976845f-cwsln               0/1     ImagePullBackOff   0               3d19h
141openfaas-fn            hello-python-b577cb8dc-64wf5                0/1     ImagePullBackOff   0               3d9h
142openfaas-fn            hubstats-b6cd4dccc-z8tvl                    1/1     Running            0               5d1h
143openfaas-fn            markdown-68f69f47c8-w5m47                   1/1     Running            0               5d1h
144openfaas-fn            nodeinfo-d48cbbfcc-hfj79                    1/1     Running            0               5d1h
145openfaas-fn            openfaas2-fun                               1/1     Running            0               15s
146openfaas-fn            text-to-speech-74ffcdfd7-997t4              0/1     CrashLoopBackOff   2235 (3s ago)   4d5h
147openfaas-fn            wordcount-6489865566-cvfzr                  1/1     Running            0               5d1h
148openfaas               alertmanager-88449c789-fq2rg                1/1     Running            0               3d1h
149openfaas               basic-auth-plugin-75fd7d69c5-zw4jh          1/1     Running            0               3d2h
150openfaas               gateway-5c4bb7c5d7-n8h27                    2/2     Running            0               3d2h
151openfaas               grafana                                     1/1     Running            0               4d8h
152openfaas               nats-647b476664-hkr7p                       1/1     Running            0               3d2h
153openfaas               prometheus-687648749f-tl8jp                 1/1     Running            0               3d1h
154openfaas               queue-worker-7777ffd7f6-htx6t               1/1     Running            0               3d2h
155
156
157$ kubectl get -o yaml -n openfaas-fn deploy/hello-openfaas2
158apiVersion: apps/v1
159kind: Deployment
160metadata:
161  annotations:
162    deployment.kubernetes.io/revision: &quot;6&quot;
163    prometheus.io.scrape: &quot;false&quot;
164  creationTimestamp: &quot;2022-03-17T12:47:35Z&quot;
165  generation: 6
166  labels:
167    faas_function: hello-openfaas2
168  name: hello-openfaas2
169  namespace: openfaas-fn
170  resourceVersion: &quot;400833&quot;
171  uid: 9c4e9d26-23af-4f93-8538-4e2d96f0d7e0
172spec:
173  progressDeadlineSeconds: 600
174  replicas: 1
175  revisionHistoryLimit: 10
176  selector:
177    matchLabels:
178      faas_function: hello-openfaas2
179  strategy:
180    rollingUpdate:
181      maxSurge: 1
182      maxUnavailable: 0
183    type: RollingUpdate
184  template:
185    metadata:
186      annotations:
187        prometheus.io.scrape: &quot;false&quot;
188      creationTimestamp: null
189      labels:
190        faas_function: hello-openfaas2
191        uid: &quot;969512830&quot;
192      name: hello-openfaas2
193    spec:
194      containers:
195      - env:
196        - name: fprocess
197          value: python3 index.py
198        image: wm/hello-openfaas2:0.1
199        imagePullPolicy: Always
200        livenessProbe:
201          failureThreshold: 3
202          httpGet:
203            path: /_/health
204            port: 8080
205            scheme: HTTP
206          initialDelaySeconds: 2
207          periodSeconds: 2
208          successThreshold: 1
209          timeoutSeconds: 1
210        name: hello-openfaas2
211        ports:
212        - containerPort: 8080
213          name: http
214          protocol: TCP
215        readinessProbe:
216          failureThreshold: 3
217          httpGet:
218            path: /_/health
219            port: 8080
220            scheme: HTTP
221          initialDelaySeconds: 2
222          periodSeconds: 2
223          successThreshold: 1
224          timeoutSeconds: 1
225        resources: {}
226        securityContext:
227          allowPrivilegeEscalation: false
228          readOnlyRootFilesystem: false
229        terminationMessagePath: /dev/termination-log
230        terminationMessagePolicy: File
231      dnsPolicy: ClusterFirst
232      enableServiceLinks: false
233      restartPolicy: Always
234      schedulerName: default-scheduler
235      securityContext: {}
236      terminationGracePeriodSeconds: 30
237status:
238  conditions:
239  - lastTransitionTime: &quot;2022-03-17T12:47:35Z&quot;
240    lastUpdateTime: &quot;2022-03-17T12:47:35Z&quot;
241    message: Deployment does not have minimum availability.
242    reason: MinimumReplicasUnavailable
243    status: &quot;False&quot;
244    type: Available
245  - lastTransitionTime: &quot;2022-03-20T12:16:56Z&quot;
246    lastUpdateTime: &quot;2022-03-20T12:16:56Z&quot;
247    message: ReplicaSet &quot;hello-openfaas2-5d6c7c7fb4&quot; has timed out progressing.
248    reason: ProgressDeadlineExceeded
249    status: &quot;False&quot;
250    type: Progressing
251  observedGeneration: 6
252  replicas: 2
253  unavailableReplicas: 2
254  updatedReplicas: 1
255

In one shell,

1$ docker images | grep hello-openfaas
2wm/hello-openfaas                                     latest                          bd08d01ce09b   34 minutes ago      65.2MB
3$ faas-cli deploy -f ./hello-openfaas.yml 
4Deploying: hello-openfaas.
5WARNING! You are not using an encrypted connection to the gateway, consider using HTTPS.
6
7Deployed. 202 Accepted.
8URL: http://IP:8099/function/hello-openfaas
9see the helm chart for how to set the ImagePullPolicy
10$ kubectl logs -n openfaas-fn deploy/hello-openfaas
11Error from server (BadRequest): container &quot;hello-openfaas&quot; in pod &quot;hello-openfaas-558f99477f-wd697&quot; is waiting to start: trying and failing to pull image
12
13$ kubectl describe -n openfaas-fn deploy/hello-openfaas
14Name:                   hello-openfaas
15Namespace:              openfaas-fn
16CreationTimestamp:      Wed, 16 Mar 2022 14:59:49 +0800
17Labels:                 faas_function=hello-openfaas
18Annotations:            deployment.kubernetes.io/revision: 1
19                        prometheus.io.scrape: false
20Selector:               faas_function=hello-openfaas
21Replicas:               1 desired | 1 updated | 1 total | 0 available | 1 unavailable
22StrategyType:           RollingUpdate
23MinReadySeconds:        0
24RollingUpdateStrategy:  0 max unavailable, 1 max surge
25Pod Template:
26  Labels:       faas_function=hello-openfaas
27  Annotations:  prometheus.io.scrape: false
28  Containers:
29   hello-openfaas:
30    Image:      wm/hello-openfaas:latest
31    Port:       8080/TCP
32    Host Port:  0/TCP
33    Liveness:   http-get http://:8080/_/health delay=2s timeout=1s period=2s #success=1 #failure=3
34    Readiness:  http-get http://:8080/_/health delay=2s timeout=1s period=2s #success=1 #failure=3
35    Environment:
36      fprocess:  python3 index.py
37    Mounts:      &lt;none&gt;
38  Volumes:       &lt;none&gt;
39Conditions:
40  Type           Status  Reason
41  ----           ------  ------
42  Available      False   MinimumReplicasUnavailable
43  Progressing    False   ProgressDeadlineExceeded
44OldReplicaSets:  &lt;none&gt;
45NewReplicaSet:   hello-openfaas-558f99477f (1/1 replicas created)
46Events:
47  Type    Reason             Age   From                   Message
48  ----    ------             ----  ----                   -------
49  Normal  ScalingReplicaSet  29m   deployment-controller  Scaled up replica set hello-openfaas-558f99477f to 1
50version: 1.0
51provider:
52  name: openfaas
53  gateway: http://IP:8099
54functions:
55  hello-openfaas:
56    lang: python3
57    handler: ./hello-openfaas
58    image: wm/hello-openfaas:latest
59    imagePullPolicy: Never
60$ faas-cli new --lang python3 hello-openfaas2 --prefix=&quot;wm&quot;
61Folder: hello-openfaas2 created.
62# I add `imagePullPolicy: Never` to `hello-openfaas2.yml`
63$ faas-cli build -f ./hello-openfaas2.yml 
64$ faas-cli deploy -f ./hello-openfaas2.yml 
65Deploying: hello-openfaas2.
66WARNING! You are not using an encrypted connection to the gateway, consider using HTTPS.
67
68Deployed. 202 Accepted.
69URL: http://192.168.1.3:8099/function/hello-openfaas2
70
71
72$ kubectl logs -n openfaas-fn deploy/hello-openfaas2
73Error from server (BadRequest): container &quot;hello-openfaas2&quot; in pod &quot;hello-openfaas2-7c67488865-7d7vm&quot; is waiting to start: image can't be pulled
74
75$ kubectl get pods --all-namespaces
76NAMESPACE              NAME                                        READY   STATUS             RESTARTS         AGE
77kube-system            coredns-64897985d-kp7vf                     1/1     Running            0                47h
78...
79openfaas-fn            env-6c79f7b946-bzbtm                        1/1     Running            0                4h28m
80openfaas-fn            figlet-54db496f88-957xl                     1/1     Running            0                18h
81openfaas-fn            hello-openfaas-547857b9d6-z277c             0/1     ImagePullBackOff   0                127m
82openfaas-fn            hello-openfaas-7b6946b4f9-hcvq4             0/1     ImagePullBackOff   0                165m
83openfaas-fn            hello-openfaas2-7c67488865-qmrkl            0/1     ImagePullBackOff   0                13m
84openfaas-fn            hello-openfaas3-65847b8b67-b94kd            0/1     ImagePullBackOff   0                97m
85openfaas-fn            hello-python-554b464498-zxcdv               0/1     ErrImagePull       0                3h23m
86openfaas-fn            hello-python-8698bc68bd-62gh9               0/1     ImagePullBackOff   0                3h25m
87$ docker images
88REPOSITORY                                TAG        IMAGE ID       CREATED             SIZE
89wm/hello-openfaas2                        0.1        03c21bd96d5e   About an hour ago   65.2MB
90python                                    3-alpine   69fba17b9bae   12 days ago         48.6MB
91ghcr.io/openfaas/figlet                   latest     ca5eef0de441   2 weeks ago         14.8MB
92ghcr.io/openfaas/alpine                   latest     35f3d4be6bb8   2 weeks ago         14.2MB
93ghcr.io/openfaas/faas-netes               0.14.2     524b510505ec   3 weeks ago         77.3MB
94k8s.gcr.io/kube-apiserver                 v1.23.3    f40be0088a83   7 weeks ago         135MB
95k8s.gcr.io/kube-controller-manager        v1.23.3    b07520cd7ab7   7 weeks ago         125MB
96k8s.gcr.io/kube-scheduler                 v1.23.3    99a3486be4f2   7 weeks ago         53.5MB
97k8s.gcr.io/kube-proxy                     v1.23.3    9b7cc9982109   7 weeks ago         112MB
98ghcr.io/openfaas/gateway                  0.21.3     ab4851262cd1   7 weeks ago         30.6MB
99ghcr.io/openfaas/basic-auth               0.21.3     16e7168a17a3   7 weeks ago         14.3MB
100k8s.gcr.io/etcd                           3.5.1-0    25f8c7f3da61   4 months ago        293MB
101ghcr.io/openfaas/classic-watchdog         0.2.0      6f97aa96da81   4 months ago        8.18MB
102k8s.gcr.io/coredns/coredns                v1.8.6     a4ca41631cc7   5 months ago        46.8MB
103k8s.gcr.io/pause                          3.6        6270bb605e12   6 months ago        683kB
104ghcr.io/openfaas/queue-worker             0.12.2     56e7216201bc   7 months ago        7.97MB
105kubernetesui/dashboard                    v2.3.1     e1482a24335a   9 months ago        220MB
106kubernetesui/metrics-scraper              v1.0.7     7801cfc6d5c0   9 months ago        34.4MB
107nats-streaming                            0.22.0     12f2d32e0c9a   9 months ago        19.8MB
108gcr.io/k8s-minikube/storage-provisioner   v5         6e38f40d628d   11 months ago       31.5MB
109functions/markdown-render                 latest     93b5da182216   2 years ago         24.6MB
110functions/hubstats                        latest     01affa91e9e4   2 years ago         29.3MB
111functions/nodeinfo                        latest     2fe8a87bf79c   2 years ago         71.4MB
112functions/alpine                          latest     46c6f6d74471   2 years ago         21.5MB
113prom/prometheus                           v2.11.0    b97ed892eb23   2 years ago         126MB
114prom/alertmanager                         v0.18.0    ce3c87f17369   2 years ago         51.9MB
115alexellis2/openfaas-colorization          0.4.1      d36b67b1b5c1   2 years ago         1.84GB
116rorpage/text-to-speech                    latest     5dc20810eb54   2 years ago         86.9MB
117stefanprodan/faas-grafana                 4.6.3      2a4bd9caea50   4 years ago         284MB
118
119$ kubectl get pods --all-namespaces
120NAMESPACE              NAME                                        READY   STATUS             RESTARTS        AGE
121kube-system            coredns-64897985d-kp7vf                     1/1     Running            0               6d
122kube-system            etcd-minikube                               1/1     Running            0               6d
123kube-system            kube-apiserver-minikube                     1/1     Running            0               6d
124kube-system            kube-controller-manager-minikube            1/1     Running            0               6d
125kube-system            kube-proxy-5m8lr                            1/1     Running            0               6d
126kube-system            kube-scheduler-minikube                     1/1     Running            0               6d
127kube-system            storage-provisioner                         1/1     Running            1 (6d ago)      6d
128kubernetes-dashboard   dashboard-metrics-scraper-58549894f-97tsv   1/1     Running            0               5d7h
129kubernetes-dashboard   kubernetes-dashboard-ccd587f44-lkwcx        1/1     Running            0               5d7h
130openfaas-fn            base64-6bdbcdb64c-djz8f                     1/1     Running            0               5d1h
131openfaas-fn            colorise-85c74c686b-2fz66                   1/1     Running            0               4d5h
132openfaas-fn            echoit-5d7df6684c-k6ljn                     1/1     Running            0               5d1h
133openfaas-fn            env-6c79f7b946-bzbtm                        1/1     Running            0               4d5h
134openfaas-fn            figlet-54db496f88-957xl                     1/1     Running            0               4d19h
135openfaas-fn            hello-openfaas-547857b9d6-z277c             0/1     ImagePullBackOff   0               4d3h
136openfaas-fn            hello-openfaas-7b6946b4f9-hcvq4             0/1     ImagePullBackOff   0               4d3h
137openfaas-fn            hello-openfaas2-5c6f6cb5d9-24hkz            0/1     ImagePullBackOff   0               9m22s
138openfaas-fn            hello-openfaas2-8957bb47b-7cgjg             0/1     ImagePullBackOff   0               2d22h
139openfaas-fn            hello-openfaas3-65847b8b67-b94kd            0/1     ImagePullBackOff   0               4d2h
140openfaas-fn            hello-python-6d6976845f-cwsln               0/1     ImagePullBackOff   0               3d19h
141openfaas-fn            hello-python-b577cb8dc-64wf5                0/1     ImagePullBackOff   0               3d9h
142openfaas-fn            hubstats-b6cd4dccc-z8tvl                    1/1     Running            0               5d1h
143openfaas-fn            markdown-68f69f47c8-w5m47                   1/1     Running            0               5d1h
144openfaas-fn            nodeinfo-d48cbbfcc-hfj79                    1/1     Running            0               5d1h
145openfaas-fn            openfaas2-fun                               1/1     Running            0               15s
146openfaas-fn            text-to-speech-74ffcdfd7-997t4              0/1     CrashLoopBackOff   2235 (3s ago)   4d5h
147openfaas-fn            wordcount-6489865566-cvfzr                  1/1     Running            0               5d1h
148openfaas               alertmanager-88449c789-fq2rg                1/1     Running            0               3d1h
149openfaas               basic-auth-plugin-75fd7d69c5-zw4jh          1/1     Running            0               3d2h
150openfaas               gateway-5c4bb7c5d7-n8h27                    2/2     Running            0               3d2h
151openfaas               grafana                                     1/1     Running            0               4d8h
152openfaas               nats-647b476664-hkr7p                       1/1     Running            0               3d2h
153openfaas               prometheus-687648749f-tl8jp                 1/1     Running            0               3d1h
154openfaas               queue-worker-7777ffd7f6-htx6t               1/1     Running            0               3d2h
155
156
157$ kubectl get -o yaml -n openfaas-fn deploy/hello-openfaas2
158apiVersion: apps/v1
159kind: Deployment
160metadata:
161  annotations:
162    deployment.kubernetes.io/revision: &quot;6&quot;
163    prometheus.io.scrape: &quot;false&quot;
164  creationTimestamp: &quot;2022-03-17T12:47:35Z&quot;
165  generation: 6
166  labels:
167    faas_function: hello-openfaas2
168  name: hello-openfaas2
169  namespace: openfaas-fn
170  resourceVersion: &quot;400833&quot;
171  uid: 9c4e9d26-23af-4f93-8538-4e2d96f0d7e0
172spec:
173  progressDeadlineSeconds: 600
174  replicas: 1
175  revisionHistoryLimit: 10
176  selector:
177    matchLabels:
178      faas_function: hello-openfaas2
179  strategy:
180    rollingUpdate:
181      maxSurge: 1
182      maxUnavailable: 0
183    type: RollingUpdate
184  template:
185    metadata:
186      annotations:
187        prometheus.io.scrape: &quot;false&quot;
188      creationTimestamp: null
189      labels:
190        faas_function: hello-openfaas2
191        uid: &quot;969512830&quot;
192      name: hello-openfaas2
193    spec:
194      containers:
195      - env:
196        - name: fprocess
197          value: python3 index.py
198        image: wm/hello-openfaas2:0.1
199        imagePullPolicy: Always
200        livenessProbe:
201          failureThreshold: 3
202          httpGet:
203            path: /_/health
204            port: 8080
205            scheme: HTTP
206          initialDelaySeconds: 2
207          periodSeconds: 2
208          successThreshold: 1
209          timeoutSeconds: 1
210        name: hello-openfaas2
211        ports:
212        - containerPort: 8080
213          name: http
214          protocol: TCP
215        readinessProbe:
216          failureThreshold: 3
217          httpGet:
218            path: /_/health
219            port: 8080
220            scheme: HTTP
221          initialDelaySeconds: 2
222          periodSeconds: 2
223          successThreshold: 1
224          timeoutSeconds: 1
225        resources: {}
226        securityContext:
227          allowPrivilegeEscalation: false
228          readOnlyRootFilesystem: false
229        terminationMessagePath: /dev/termination-log
230        terminationMessagePolicy: File
231      dnsPolicy: ClusterFirst
232      enableServiceLinks: false
233      restartPolicy: Always
234      schedulerName: default-scheduler
235      securityContext: {}
236      terminationGracePeriodSeconds: 30
237status:
238  conditions:
239  - lastTransitionTime: &quot;2022-03-17T12:47:35Z&quot;
240    lastUpdateTime: &quot;2022-03-17T12:47:35Z&quot;
241    message: Deployment does not have minimum availability.
242    reason: MinimumReplicasUnavailable
243    status: &quot;False&quot;
244    type: Available
245  - lastTransitionTime: &quot;2022-03-20T12:16:56Z&quot;
246    lastUpdateTime: &quot;2022-03-20T12:16:56Z&quot;
247    message: ReplicaSet &quot;hello-openfaas2-5d6c7c7fb4&quot; has timed out progressing.
248    reason: ProgressDeadlineExceeded
249    status: &quot;False&quot;
250    type: Progressing
251  observedGeneration: 6
252  replicas: 2
253  unavailableReplicas: 2
254  updatedReplicas: 1
255docker@minikube:~$ docker run  --name wm -ti wm/hello-openfaas2:0.1
2562022/03/20 13:04:52 Version: 0.2.0  SHA: 56bf6aac54deb3863a690f5fc03a2a38e7d9e6ef
2572022/03/20 13:04:52 Timeouts: read: 5s write: 5s hard: 0s health: 5s.
2582022/03/20 13:04:52 Listening on port: 8080
259...
260
261

and another shell

1$ docker images | grep hello-openfaas
2wm/hello-openfaas                                     latest                          bd08d01ce09b   34 minutes ago      65.2MB
3$ faas-cli deploy -f ./hello-openfaas.yml 
4Deploying: hello-openfaas.
5WARNING! You are not using an encrypted connection to the gateway, consider using HTTPS.
6
7Deployed. 202 Accepted.
8URL: http://IP:8099/function/hello-openfaas
9see the helm chart for how to set the ImagePullPolicy
10$ kubectl logs -n openfaas-fn deploy/hello-openfaas
11Error from server (BadRequest): container &quot;hello-openfaas&quot; in pod &quot;hello-openfaas-558f99477f-wd697&quot; is waiting to start: trying and failing to pull image
12
13$ kubectl describe -n openfaas-fn deploy/hello-openfaas
14Name:                   hello-openfaas
15Namespace:              openfaas-fn
16CreationTimestamp:      Wed, 16 Mar 2022 14:59:49 +0800
17Labels:                 faas_function=hello-openfaas
18Annotations:            deployment.kubernetes.io/revision: 1
19                        prometheus.io.scrape: false
20Selector:               faas_function=hello-openfaas
21Replicas:               1 desired | 1 updated | 1 total | 0 available | 1 unavailable
22StrategyType:           RollingUpdate
23MinReadySeconds:        0
24RollingUpdateStrategy:  0 max unavailable, 1 max surge
25Pod Template:
26  Labels:       faas_function=hello-openfaas
27  Annotations:  prometheus.io.scrape: false
28  Containers:
29   hello-openfaas:
30    Image:      wm/hello-openfaas:latest
31    Port:       8080/TCP
32    Host Port:  0/TCP
33    Liveness:   http-get http://:8080/_/health delay=2s timeout=1s period=2s #success=1 #failure=3
34    Readiness:  http-get http://:8080/_/health delay=2s timeout=1s period=2s #success=1 #failure=3
35    Environment:
36      fprocess:  python3 index.py
37    Mounts:      &lt;none&gt;
38  Volumes:       &lt;none&gt;
39Conditions:
40  Type           Status  Reason
41  ----           ------  ------
42  Available      False   MinimumReplicasUnavailable
43  Progressing    False   ProgressDeadlineExceeded
44OldReplicaSets:  &lt;none&gt;
45NewReplicaSet:   hello-openfaas-558f99477f (1/1 replicas created)
46Events:
47  Type    Reason             Age   From                   Message
48  ----    ------             ----  ----                   -------
49  Normal  ScalingReplicaSet  29m   deployment-controller  Scaled up replica set hello-openfaas-558f99477f to 1
50version: 1.0
51provider:
52  name: openfaas
53  gateway: http://IP:8099
54functions:
55  hello-openfaas:
56    lang: python3
57    handler: ./hello-openfaas
58    image: wm/hello-openfaas:latest
59    imagePullPolicy: Never
60$ faas-cli new --lang python3 hello-openfaas2 --prefix=&quot;wm&quot;
61Folder: hello-openfaas2 created.
62# I add `imagePullPolicy: Never` to `hello-openfaas2.yml`
63$ faas-cli build -f ./hello-openfaas2.yml 
64$ faas-cli deploy -f ./hello-openfaas2.yml 
65Deploying: hello-openfaas2.
66WARNING! You are not using an encrypted connection to the gateway, consider using HTTPS.
67
68Deployed. 202 Accepted.
69URL: http://192.168.1.3:8099/function/hello-openfaas2
70
71
72$ kubectl logs -n openfaas-fn deploy/hello-openfaas2
73Error from server (BadRequest): container &quot;hello-openfaas2&quot; in pod &quot;hello-openfaas2-7c67488865-7d7vm&quot; is waiting to start: image can't be pulled
74
75$ kubectl get pods --all-namespaces
76NAMESPACE              NAME                                        READY   STATUS             RESTARTS         AGE
77kube-system            coredns-64897985d-kp7vf                     1/1     Running            0                47h
78...
79openfaas-fn            env-6c79f7b946-bzbtm                        1/1     Running            0                4h28m
80openfaas-fn            figlet-54db496f88-957xl                     1/1     Running            0                18h
81openfaas-fn            hello-openfaas-547857b9d6-z277c             0/1     ImagePullBackOff   0                127m
82openfaas-fn            hello-openfaas-7b6946b4f9-hcvq4             0/1     ImagePullBackOff   0                165m
83openfaas-fn            hello-openfaas2-7c67488865-qmrkl            0/1     ImagePullBackOff   0                13m
84openfaas-fn            hello-openfaas3-65847b8b67-b94kd            0/1     ImagePullBackOff   0                97m
85openfaas-fn            hello-python-554b464498-zxcdv               0/1     ErrImagePull       0                3h23m
86openfaas-fn            hello-python-8698bc68bd-62gh9               0/1     ImagePullBackOff   0                3h25m
87$ docker images
88REPOSITORY                                TAG        IMAGE ID       CREATED             SIZE
89wm/hello-openfaas2                        0.1        03c21bd96d5e   About an hour ago   65.2MB
90python                                    3-alpine   69fba17b9bae   12 days ago         48.6MB
91ghcr.io/openfaas/figlet                   latest     ca5eef0de441   2 weeks ago         14.8MB
92ghcr.io/openfaas/alpine                   latest     35f3d4be6bb8   2 weeks ago         14.2MB
93ghcr.io/openfaas/faas-netes               0.14.2     524b510505ec   3 weeks ago         77.3MB
94k8s.gcr.io/kube-apiserver                 v1.23.3    f40be0088a83   7 weeks ago         135MB
95k8s.gcr.io/kube-controller-manager        v1.23.3    b07520cd7ab7   7 weeks ago         125MB
96k8s.gcr.io/kube-scheduler                 v1.23.3    99a3486be4f2   7 weeks ago         53.5MB
97k8s.gcr.io/kube-proxy                     v1.23.3    9b7cc9982109   7 weeks ago         112MB
98ghcr.io/openfaas/gateway                  0.21.3     ab4851262cd1   7 weeks ago         30.6MB
99ghcr.io/openfaas/basic-auth               0.21.3     16e7168a17a3   7 weeks ago         14.3MB
100k8s.gcr.io/etcd                           3.5.1-0    25f8c7f3da61   4 months ago        293MB
101ghcr.io/openfaas/classic-watchdog         0.2.0      6f97aa96da81   4 months ago        8.18MB
102k8s.gcr.io/coredns/coredns                v1.8.6     a4ca41631cc7   5 months ago        46.8MB
103k8s.gcr.io/pause                          3.6        6270bb605e12   6 months ago        683kB
104ghcr.io/openfaas/queue-worker             0.12.2     56e7216201bc   7 months ago        7.97MB
105kubernetesui/dashboard                    v2.3.1     e1482a24335a   9 months ago        220MB
106kubernetesui/metrics-scraper              v1.0.7     7801cfc6d5c0   9 months ago        34.4MB
107nats-streaming                            0.22.0     12f2d32e0c9a   9 months ago        19.8MB
108gcr.io/k8s-minikube/storage-provisioner   v5         6e38f40d628d   11 months ago       31.5MB
109functions/markdown-render                 latest     93b5da182216   2 years ago         24.6MB
110functions/hubstats                        latest     01affa91e9e4   2 years ago         29.3MB
111functions/nodeinfo                        latest     2fe8a87bf79c   2 years ago         71.4MB
112functions/alpine                          latest     46c6f6d74471   2 years ago         21.5MB
113prom/prometheus                           v2.11.0    b97ed892eb23   2 years ago         126MB
114prom/alertmanager                         v0.18.0    ce3c87f17369   2 years ago         51.9MB
115alexellis2/openfaas-colorization          0.4.1      d36b67b1b5c1   2 years ago         1.84GB
116rorpage/text-to-speech                    latest     5dc20810eb54   2 years ago         86.9MB
117stefanprodan/faas-grafana                 4.6.3      2a4bd9caea50   4 years ago         284MB
118
119$ kubectl get pods --all-namespaces
120NAMESPACE              NAME                                        READY   STATUS             RESTARTS        AGE
121kube-system            coredns-64897985d-kp7vf                     1/1     Running            0               6d
122kube-system            etcd-minikube                               1/1     Running            0               6d
123kube-system            kube-apiserver-minikube                     1/1     Running            0               6d
124kube-system            kube-controller-manager-minikube            1/1     Running            0               6d
125kube-system            kube-proxy-5m8lr                            1/1     Running            0               6d
126kube-system            kube-scheduler-minikube                     1/1     Running            0               6d
127kube-system            storage-provisioner                         1/1     Running            1 (6d ago)      6d
128kubernetes-dashboard   dashboard-metrics-scraper-58549894f-97tsv   1/1     Running            0               5d7h
129kubernetes-dashboard   kubernetes-dashboard-ccd587f44-lkwcx        1/1     Running            0               5d7h
130openfaas-fn            base64-6bdbcdb64c-djz8f                     1/1     Running            0               5d1h
131openfaas-fn            colorise-85c74c686b-2fz66                   1/1     Running            0               4d5h
132openfaas-fn            echoit-5d7df6684c-k6ljn                     1/1     Running            0               5d1h
133openfaas-fn            env-6c79f7b946-bzbtm                        1/1     Running            0               4d5h
134openfaas-fn            figlet-54db496f88-957xl                     1/1     Running            0               4d19h
135openfaas-fn            hello-openfaas-547857b9d6-z277c             0/1     ImagePullBackOff   0               4d3h
136openfaas-fn            hello-openfaas-7b6946b4f9-hcvq4             0/1     ImagePullBackOff   0               4d3h
137openfaas-fn            hello-openfaas2-5c6f6cb5d9-24hkz            0/1     ImagePullBackOff   0               9m22s
138openfaas-fn            hello-openfaas2-8957bb47b-7cgjg             0/1     ImagePullBackOff   0               2d22h
139openfaas-fn            hello-openfaas3-65847b8b67-b94kd            0/1     ImagePullBackOff   0               4d2h
140openfaas-fn            hello-python-6d6976845f-cwsln               0/1     ImagePullBackOff   0               3d19h
141openfaas-fn            hello-python-b577cb8dc-64wf5                0/1     ImagePullBackOff   0               3d9h
142openfaas-fn            hubstats-b6cd4dccc-z8tvl                    1/1     Running            0               5d1h
143openfaas-fn            markdown-68f69f47c8-w5m47                   1/1     Running            0               5d1h
144openfaas-fn            nodeinfo-d48cbbfcc-hfj79                    1/1     Running            0               5d1h
145openfaas-fn            openfaas2-fun                               1/1     Running            0               15s
146openfaas-fn            text-to-speech-74ffcdfd7-997t4              0/1     CrashLoopBackOff   2235 (3s ago)   4d5h
147openfaas-fn            wordcount-6489865566-cvfzr                  1/1     Running            0               5d1h
148openfaas               alertmanager-88449c789-fq2rg                1/1     Running            0               3d1h
149openfaas               basic-auth-plugin-75fd7d69c5-zw4jh          1/1     Running            0               3d2h
150openfaas               gateway-5c4bb7c5d7-n8h27                    2/2     Running            0               3d2h
151openfaas               grafana                                     1/1     Running            0               4d8h
152openfaas               nats-647b476664-hkr7p                       1/1     Running            0               3d2h
153openfaas               prometheus-687648749f-tl8jp                 1/1     Running            0               3d1h
154openfaas               queue-worker-7777ffd7f6-htx6t               1/1     Running            0               3d2h
155
156
157$ kubectl get -o yaml -n openfaas-fn deploy/hello-openfaas2
158apiVersion: apps/v1
159kind: Deployment
160metadata:
161  annotations:
162    deployment.kubernetes.io/revision: &quot;6&quot;
163    prometheus.io.scrape: &quot;false&quot;
164  creationTimestamp: &quot;2022-03-17T12:47:35Z&quot;
165  generation: 6
166  labels:
167    faas_function: hello-openfaas2
168  name: hello-openfaas2
169  namespace: openfaas-fn
170  resourceVersion: &quot;400833&quot;
171  uid: 9c4e9d26-23af-4f93-8538-4e2d96f0d7e0
172spec:
173  progressDeadlineSeconds: 600
174  replicas: 1
175  revisionHistoryLimit: 10
176  selector:
177    matchLabels:
178      faas_function: hello-openfaas2
179  strategy:
180    rollingUpdate:
181      maxSurge: 1
182      maxUnavailable: 0
183    type: RollingUpdate
184  template:
185    metadata:
186      annotations:
187        prometheus.io.scrape: &quot;false&quot;
188      creationTimestamp: null
189      labels:
190        faas_function: hello-openfaas2
191        uid: &quot;969512830&quot;
192      name: hello-openfaas2
193    spec:
194      containers:
195      - env:
196        - name: fprocess
197          value: python3 index.py
198        image: wm/hello-openfaas2:0.1
199        imagePullPolicy: Always
200        livenessProbe:
201          failureThreshold: 3
202          httpGet:
203            path: /_/health
204            port: 8080
205            scheme: HTTP
206          initialDelaySeconds: 2
207          periodSeconds: 2
208          successThreshold: 1
209          timeoutSeconds: 1
210        name: hello-openfaas2
211        ports:
212        - containerPort: 8080
213          name: http
214          protocol: TCP
215        readinessProbe:
216          failureThreshold: 3
217          httpGet:
218            path: /_/health
219            port: 8080
220            scheme: HTTP
221          initialDelaySeconds: 2
222          periodSeconds: 2
223          successThreshold: 1
224          timeoutSeconds: 1
225        resources: {}
226        securityContext:
227          allowPrivilegeEscalation: false
228          readOnlyRootFilesystem: false
229        terminationMessagePath: /dev/termination-log
230        terminationMessagePolicy: File
231      dnsPolicy: ClusterFirst
232      enableServiceLinks: false
233      restartPolicy: Always
234      schedulerName: default-scheduler
235      securityContext: {}
236      terminationGracePeriodSeconds: 30
237status:
238  conditions:
239  - lastTransitionTime: &quot;2022-03-17T12:47:35Z&quot;
240    lastUpdateTime: &quot;2022-03-17T12:47:35Z&quot;
241    message: Deployment does not have minimum availability.
242    reason: MinimumReplicasUnavailable
243    status: &quot;False&quot;
244    type: Available
245  - lastTransitionTime: &quot;2022-03-20T12:16:56Z&quot;
246    lastUpdateTime: &quot;2022-03-20T12:16:56Z&quot;
247    message: ReplicaSet &quot;hello-openfaas2-5d6c7c7fb4&quot; has timed out progressing.
248    reason: ProgressDeadlineExceeded
249    status: &quot;False&quot;
250    type: Progressing
251  observedGeneration: 6
252  replicas: 2
253  unavailableReplicas: 2
254  updatedReplicas: 1
255docker@minikube:~$ docker run  --name wm -ti wm/hello-openfaas2:0.1
2562022/03/20 13:04:52 Version: 0.2.0  SHA: 56bf6aac54deb3863a690f5fc03a2a38e7d9e6ef
2572022/03/20 13:04:52 Timeouts: read: 5s write: 5s hard: 0s health: 5s.
2582022/03/20 13:04:52 Listening on port: 8080
259...
260
261docker@minikube:~$ docker ps | grep wm
262d7796286641c   wm/hello-openfaas2:0.1             &quot;fwatchdog&quot;              3 minutes ago       Up 3 minutes (healthy)   8080/tcp   wm
263

ANSWER

Answered 2022-Mar-16 at 08:10

If your image has a latest tag, the Pod's ImagePullPolicy will be automatically set to Always. Each time the pod is created, Kubernetes tries to pull the newest image.

Try not tagging the image as latest or manually setting the Pod's ImagePullPolicy to Never. If you're using static manifest to create a Pod, the setting will be like the following:

1$ docker images | grep hello-openfaas
2wm/hello-openfaas                                     latest                          bd08d01ce09b   34 minutes ago      65.2MB
3$ faas-cli deploy -f ./hello-openfaas.yml 
4Deploying: hello-openfaas.
5WARNING! You are not using an encrypted connection to the gateway, consider using HTTPS.
6
7Deployed. 202 Accepted.
8URL: http://IP:8099/function/hello-openfaas
9see the helm chart for how to set the ImagePullPolicy
10$ kubectl logs -n openfaas-fn deploy/hello-openfaas
11Error from server (BadRequest): container &quot;hello-openfaas&quot; in pod &quot;hello-openfaas-558f99477f-wd697&quot; is waiting to start: trying and failing to pull image
12
13$ kubectl describe -n openfaas-fn deploy/hello-openfaas
14Name:                   hello-openfaas
15Namespace:              openfaas-fn
16CreationTimestamp:      Wed, 16 Mar 2022 14:59:49 +0800
17Labels:                 faas_function=hello-openfaas
18Annotations:            deployment.kubernetes.io/revision: 1
19                        prometheus.io.scrape: false
20Selector:               faas_function=hello-openfaas
21Replicas:               1 desired | 1 updated | 1 total | 0 available | 1 unavailable
22StrategyType:           RollingUpdate
23MinReadySeconds:        0
24RollingUpdateStrategy:  0 max unavailable, 1 max surge
25Pod Template:
26  Labels:       faas_function=hello-openfaas
27  Annotations:  prometheus.io.scrape: false
28  Containers:
29   hello-openfaas:
30    Image:      wm/hello-openfaas:latest
31    Port:       8080/TCP
32    Host Port:  0/TCP
33    Liveness:   http-get http://:8080/_/health delay=2s timeout=1s period=2s #success=1 #failure=3
34    Readiness:  http-get http://:8080/_/health delay=2s timeout=1s period=2s #success=1 #failure=3
35    Environment:
36      fprocess:  python3 index.py
37    Mounts:      &lt;none&gt;
38  Volumes:       &lt;none&gt;
39Conditions:
40  Type           Status  Reason
41  ----           ------  ------
42  Available      False   MinimumReplicasUnavailable
43  Progressing    False   ProgressDeadlineExceeded
44OldReplicaSets:  &lt;none&gt;
45NewReplicaSet:   hello-openfaas-558f99477f (1/1 replicas created)
46Events:
47  Type    Reason             Age   From                   Message
48  ----    ------             ----  ----                   -------
49  Normal  ScalingReplicaSet  29m   deployment-controller  Scaled up replica set hello-openfaas-558f99477f to 1
50version: 1.0
51provider:
52  name: openfaas
53  gateway: http://IP:8099
54functions:
55  hello-openfaas:
56    lang: python3
57    handler: ./hello-openfaas
58    image: wm/hello-openfaas:latest
59    imagePullPolicy: Never
60$ faas-cli new --lang python3 hello-openfaas2 --prefix=&quot;wm&quot;
61Folder: hello-openfaas2 created.
62# I add `imagePullPolicy: Never` to `hello-openfaas2.yml`
63$ faas-cli build -f ./hello-openfaas2.yml 
64$ faas-cli deploy -f ./hello-openfaas2.yml 
65Deploying: hello-openfaas2.
66WARNING! You are not using an encrypted connection to the gateway, consider using HTTPS.
67
68Deployed. 202 Accepted.
69URL: http://192.168.1.3:8099/function/hello-openfaas2
70
71
72$ kubectl logs -n openfaas-fn deploy/hello-openfaas2
73Error from server (BadRequest): container &quot;hello-openfaas2&quot; in pod &quot;hello-openfaas2-7c67488865-7d7vm&quot; is waiting to start: image can't be pulled
74
75$ kubectl get pods --all-namespaces
76NAMESPACE              NAME                                        READY   STATUS             RESTARTS         AGE
77kube-system            coredns-64897985d-kp7vf                     1/1     Running            0                47h
78...
79openfaas-fn            env-6c79f7b946-bzbtm                        1/1     Running            0                4h28m
80openfaas-fn            figlet-54db496f88-957xl                     1/1     Running            0                18h
81openfaas-fn            hello-openfaas-547857b9d6-z277c             0/1     ImagePullBackOff   0                127m
82openfaas-fn            hello-openfaas-7b6946b4f9-hcvq4             0/1     ImagePullBackOff   0                165m
83openfaas-fn            hello-openfaas2-7c67488865-qmrkl            0/1     ImagePullBackOff   0                13m
84openfaas-fn            hello-openfaas3-65847b8b67-b94kd            0/1     ImagePullBackOff   0                97m
85openfaas-fn            hello-python-554b464498-zxcdv               0/1     ErrImagePull       0                3h23m
86openfaas-fn            hello-python-8698bc68bd-62gh9               0/1     ImagePullBackOff   0                3h25m
87$ docker images
88REPOSITORY                                TAG        IMAGE ID       CREATED             SIZE
89wm/hello-openfaas2                        0.1        03c21bd96d5e   About an hour ago   65.2MB
90python                                    3-alpine   69fba17b9bae   12 days ago         48.6MB
91ghcr.io/openfaas/figlet                   latest     ca5eef0de441   2 weeks ago         14.8MB
92ghcr.io/openfaas/alpine                   latest     35f3d4be6bb8   2 weeks ago         14.2MB
93ghcr.io/openfaas/faas-netes               0.14.2     524b510505ec   3 weeks ago         77.3MB
94k8s.gcr.io/kube-apiserver                 v1.23.3    f40be0088a83   7 weeks ago         135MB
95k8s.gcr.io/kube-controller-manager        v1.23.3    b07520cd7ab7   7 weeks ago         125MB
96k8s.gcr.io/kube-scheduler                 v1.23.3    99a3486be4f2   7 weeks ago         53.5MB
97k8s.gcr.io/kube-proxy                     v1.23.3    9b7cc9982109   7 weeks ago         112MB
98ghcr.io/openfaas/gateway                  0.21.3     ab4851262cd1   7 weeks ago         30.6MB
99ghcr.io/openfaas/basic-auth               0.21.3     16e7168a17a3   7 weeks ago         14.3MB
100k8s.gcr.io/etcd                           3.5.1-0    25f8c7f3da61   4 months ago        293MB
101ghcr.io/openfaas/classic-watchdog         0.2.0      6f97aa96da81   4 months ago        8.18MB
102k8s.gcr.io/coredns/coredns                v1.8.6     a4ca41631cc7   5 months ago        46.8MB
103k8s.gcr.io/pause                          3.6        6270bb605e12   6 months ago        683kB
104ghcr.io/openfaas/queue-worker             0.12.2     56e7216201bc   7 months ago        7.97MB
105kubernetesui/dashboard                    v2.3.1     e1482a24335a   9 months ago        220MB
106kubernetesui/metrics-scraper              v1.0.7     7801cfc6d5c0   9 months ago        34.4MB
107nats-streaming                            0.22.0     12f2d32e0c9a   9 months ago        19.8MB
108gcr.io/k8s-minikube/storage-provisioner   v5         6e38f40d628d   11 months ago       31.5MB
109functions/markdown-render                 latest     93b5da182216   2 years ago         24.6MB
110functions/hubstats                        latest     01affa91e9e4   2 years ago         29.3MB
111functions/nodeinfo                        latest     2fe8a87bf79c   2 years ago         71.4MB
112functions/alpine                          latest     46c6f6d74471   2 years ago         21.5MB
113prom/prometheus                           v2.11.0    b97ed892eb23   2 years ago         126MB
114prom/alertmanager                         v0.18.0    ce3c87f17369   2 years ago         51.9MB
115alexellis2/openfaas-colorization          0.4.1      d36b67b1b5c1   2 years ago         1.84GB
116rorpage/text-to-speech                    latest     5dc20810eb54   2 years ago         86.9MB
117stefanprodan/faas-grafana                 4.6.3      2a4bd9caea50   4 years ago         284MB
118
119$ kubectl get pods --all-namespaces
120NAMESPACE              NAME                                        READY   STATUS             RESTARTS        AGE
121kube-system            coredns-64897985d-kp7vf                     1/1     Running            0               6d
122kube-system            etcd-minikube                               1/1     Running            0               6d
123kube-system            kube-apiserver-minikube                     1/1     Running            0               6d
124kube-system            kube-controller-manager-minikube            1/1     Running            0               6d
125kube-system            kube-proxy-5m8lr                            1/1     Running            0               6d
126kube-system            kube-scheduler-minikube                     1/1     Running            0               6d
127kube-system            storage-provisioner                         1/1     Running            1 (6d ago)      6d
128kubernetes-dashboard   dashboard-metrics-scraper-58549894f-97tsv   1/1     Running            0               5d7h
129kubernetes-dashboard   kubernetes-dashboard-ccd587f44-lkwcx        1/1     Running            0               5d7h
130openfaas-fn            base64-6bdbcdb64c-djz8f                     1/1     Running            0               5d1h
131openfaas-fn            colorise-85c74c686b-2fz66                   1/1     Running            0               4d5h
132openfaas-fn            echoit-5d7df6684c-k6ljn                     1/1     Running            0               5d1h
133openfaas-fn            env-6c79f7b946-bzbtm                        1/1     Running            0               4d5h
134openfaas-fn            figlet-54db496f88-957xl                     1/1     Running            0               4d19h
135openfaas-fn            hello-openfaas-547857b9d6-z277c             0/1     ImagePullBackOff   0               4d3h
136openfaas-fn            hello-openfaas-7b6946b4f9-hcvq4             0/1     ImagePullBackOff   0               4d3h
137openfaas-fn            hello-openfaas2-5c6f6cb5d9-24hkz            0/1     ImagePullBackOff   0               9m22s
138openfaas-fn            hello-openfaas2-8957bb47b-7cgjg             0/1     ImagePullBackOff   0               2d22h
139openfaas-fn            hello-openfaas3-65847b8b67-b94kd            0/1     ImagePullBackOff   0               4d2h
140openfaas-fn            hello-python-6d6976845f-cwsln               0/1     ImagePullBackOff   0               3d19h
141openfaas-fn            hello-python-b577cb8dc-64wf5                0/1     ImagePullBackOff   0               3d9h
142openfaas-fn            hubstats-b6cd4dccc-z8tvl                    1/1     Running            0               5d1h
143openfaas-fn            markdown-68f69f47c8-w5m47                   1/1     Running            0               5d1h
144openfaas-fn            nodeinfo-d48cbbfcc-hfj79                    1/1     Running            0               5d1h
145openfaas-fn            openfaas2-fun                               1/1     Running            0               15s
146openfaas-fn            text-to-speech-74ffcdfd7-997t4              0/1     CrashLoopBackOff   2235 (3s ago)   4d5h
147openfaas-fn            wordcount-6489865566-cvfzr                  1/1     Running            0               5d1h
148openfaas               alertmanager-88449c789-fq2rg                1/1     Running            0               3d1h
149openfaas               basic-auth-plugin-75fd7d69c5-zw4jh          1/1     Running            0               3d2h
150openfaas               gateway-5c4bb7c5d7-n8h27                    2/2     Running            0               3d2h
151openfaas               grafana                                     1/1     Running            0               4d8h
152openfaas               nats-647b476664-hkr7p                       1/1     Running            0               3d2h
153openfaas               prometheus-687648749f-tl8jp                 1/1     Running            0               3d1h
154openfaas               queue-worker-7777ffd7f6-htx6t               1/1     Running            0               3d2h
155
156
157$ kubectl get -o yaml -n openfaas-fn deploy/hello-openfaas2
158apiVersion: apps/v1
159kind: Deployment
160metadata:
161  annotations:
162    deployment.kubernetes.io/revision: &quot;6&quot;
163    prometheus.io.scrape: &quot;false&quot;
164  creationTimestamp: &quot;2022-03-17T12:47:35Z&quot;
165  generation: 6
166  labels:
167    faas_function: hello-openfaas2
168  name: hello-openfaas2
169  namespace: openfaas-fn
170  resourceVersion: &quot;400833&quot;
171  uid: 9c4e9d26-23af-4f93-8538-4e2d96f0d7e0
172spec:
173  progressDeadlineSeconds: 600
174  replicas: 1
175  revisionHistoryLimit: 10
176  selector:
177    matchLabels:
178      faas_function: hello-openfaas2
179  strategy:
180    rollingUpdate:
181      maxSurge: 1
182      maxUnavailable: 0
183    type: RollingUpdate
184  template:
185    metadata:
186      annotations:
187        prometheus.io.scrape: &quot;false&quot;
188      creationTimestamp: null
189      labels:
190        faas_function: hello-openfaas2
191        uid: &quot;969512830&quot;
192      name: hello-openfaas2
193    spec:
194      containers:
195      - env:
196        - name: fprocess
197          value: python3 index.py
198        image: wm/hello-openfaas2:0.1
199        imagePullPolicy: Always
200        livenessProbe:
201          failureThreshold: 3
202          httpGet:
203            path: /_/health
204            port: 8080
205            scheme: HTTP
206          initialDelaySeconds: 2
207          periodSeconds: 2
208          successThreshold: 1
209          timeoutSeconds: 1
210        name: hello-openfaas2
211        ports:
212        - containerPort: 8080
213          name: http
214          protocol: TCP
215        readinessProbe:
216          failureThreshold: 3
217          httpGet:
218            path: /_/health
219            port: 8080
220            scheme: HTTP
221          initialDelaySeconds: 2
222          periodSeconds: 2
223          successThreshold: 1
224          timeoutSeconds: 1
225        resources: {}
226        securityContext:
227          allowPrivilegeEscalation: false
228          readOnlyRootFilesystem: false
229        terminationMessagePath: /dev/termination-log
230        terminationMessagePolicy: File
231      dnsPolicy: ClusterFirst
232      enableServiceLinks: false
233      restartPolicy: Always
234      schedulerName: default-scheduler
235      securityContext: {}
236      terminationGracePeriodSeconds: 30
237status:
238  conditions:
239  - lastTransitionTime: &quot;2022-03-17T12:47:35Z&quot;
240    lastUpdateTime: &quot;2022-03-17T12:47:35Z&quot;
241    message: Deployment does not have minimum availability.
242    reason: MinimumReplicasUnavailable
243    status: &quot;False&quot;
244    type: Available
245  - lastTransitionTime: &quot;2022-03-20T12:16:56Z&quot;
246    lastUpdateTime: &quot;2022-03-20T12:16:56Z&quot;
247    message: ReplicaSet &quot;hello-openfaas2-5d6c7c7fb4&quot; has timed out progressing.
248    reason: ProgressDeadlineExceeded
249    status: &quot;False&quot;
250    type: Progressing
251  observedGeneration: 6
252  replicas: 2
253  unavailableReplicas: 2
254  updatedReplicas: 1
255docker@minikube:~$ docker run  --name wm -ti wm/hello-openfaas2:0.1
2562022/03/20 13:04:52 Version: 0.2.0  SHA: 56bf6aac54deb3863a690f5fc03a2a38e7d9e6ef
2572022/03/20 13:04:52 Timeouts: read: 5s write: 5s hard: 0s health: 5s.
2582022/03/20 13:04:52 Listening on port: 8080
259...
260
261docker@minikube:~$ docker ps | grep wm
262d7796286641c   wm/hello-openfaas2:0.1             &quot;fwatchdog&quot;              3 minutes ago       Up 3 minutes (healthy)   8080/tcp   wm
263containers:
264  - name: test-container
265    image: testImage:latest
266    imagePullPolicy: Never
267

Source https://stackoverflow.com/questions/71493306

QUESTION

IndexError: tuple index out of range when I try to create an executable from a python script using auto-py-to-exe

Asked 2022-Feb-24 at 15:03

I have been trying out an open-sourced personal AI assistant script. The script works fine but I want to create an executable so that I can gift the executable to one of my friends. However, when I try to create the executable using the auto-py-to-exe, it states the below error:

1Running auto-py-to-exe v2.10.1
2Building directory: C:\Users\Tarun\AppData\Local\Temp\tmpjaw1ky1x
3Provided command: pyinstaller --noconfirm --onedir --console --no-embed-manifest  &quot;C:/Users/Tarun/AppData/Local/Programs/Python/Python310/AI_Ass.py&quot;
4Recursion Limit is set to 5000
5Executing: pyinstaller --noconfirm --onedir --console --no-embed-manifest C:/Users/Tarun/AppData/Local/Programs/Python/Python310/AI_Ass.py --distpath C:\Users\Tarun\AppData\Local\Temp\tmpjaw1ky1x\application --workpath C:\Users\Tarun\AppData\Local\Temp\tmpjaw1ky1x\build --specpath C:\Users\Tarun\AppData\Local\Temp\tmpjaw1ky1x
6
742681 INFO: PyInstaller: 4.6
842690 INFO: Python: 3.10.0
942732 INFO: Platform: Windows-10-10.0.19042-SP0
1042744 INFO: wrote C:\Users\Tarun\AppData\Local\Temp\tmpjaw1ky1x\AI_Ass.spec
1142764 INFO: UPX is not available.
1242772 INFO: Extending PYTHONPATH with paths
13['C:\\Users\\Tarun\\AppData\\Local\\Programs\\Python\\Python310']
1443887 INFO: checking Analysis
1543891 INFO: Building Analysis because Analysis-00.toc is non existent
1643895 INFO: Initializing module dependency graph...
1743915 INFO: Caching module graph hooks...
1843975 INFO: Analyzing base_library.zip ...
1954298 INFO: Processing pre-find module path hook distutils from 'C:\\Users\\Tarun\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\PyInstaller\\hooks\\pre_find_module_path\\hook-distutils.py'.
2054306 INFO: distutils: retargeting to non-venv dir 'C:\\Users\\Tarun\\AppData\\Local\\Programs\\Python\\Python310\\lib'
2157474 INFO: Caching module dependency graph...
2258088 INFO: running Analysis Analysis-00.toc
2358132 INFO: Adding Microsoft.Windows.Common-Controls to dependent assemblies of final executable
24  required by C:\Users\Tarun\AppData\Local\Programs\Python\Python310\python.exe
2558365 INFO: Analyzing C:\Users\Tarun\AppData\Local\Programs\Python\Python310\AI_Ass.py
2659641 INFO: Processing pre-safe import module hook urllib3.packages.six.moves from 'C:\\Users\\Tarun\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\PyInstaller\\hooks\\pre_safe_import_module\\hook-urllib3.packages.six.moves.py'.
27An error occurred while packaging
28Traceback (most recent call last):
29  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\auto_py_to_exe\packaging.py&quot;, line 131, in package
30    run_pyinstaller()
31  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\__main__.py&quot;, line 124, in run
32    run_build(pyi_config, spec_file, **vars(args))
33  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\__main__.py&quot;, line 58, in run_build
34    PyInstaller.building.build_main.main(pyi_config, spec_file, **kwargs)
35  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\building\build_main.py&quot;, line 782, in main
36    build(specfile, kw.get('distpath'), kw.get('workpath'), kw.get('clean_build'))
37  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\building\build_main.py&quot;, line 714, in build
38    exec(code, spec_namespace)
39  File &quot;C:\Users\Tarun\AppData\Local\Temp\tmpjaw1ky1x\AI_Ass.spec&quot;, line 7, in &lt;module&gt;
40    a = Analysis(['C:/Users/Tarun/AppData/Local/Programs/Python/Python310/AI_Ass.py'],
41  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\building\build_main.py&quot;, line 277, in __init__
42    self.__postinit__()
43  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\building\datastruct.py&quot;, line 155, in __postinit__
44    self.assemble()
45  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\building\build_main.py&quot;, line 439, in assemble
46    priority_scripts.append(self.graph.add_script(script))
47  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\depend\analysis.py&quot;, line 265, in add_script
48    self._top_script_node = super().add_script(pathname)
49  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1433, in add_script
50    self._process_imports(n)
51  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2850, in _process_imports
52    target_module = self._safe_import_hook(*import_info, **kwargs)[0]
53  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2301, in _safe_import_hook
54    target_modules = self.import_hook(
55  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1505, in import_hook
56    target_package, target_module_partname = self._find_head_package(
57  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1684, in _find_head_package
58    target_package = self._safe_import_module(
59  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\depend\analysis.py&quot;, line 387, in _safe_import_module
60    return super()._safe_import_module(module_basename, module_name, parent_package)
61  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2062, in _safe_import_module
62    self._process_imports(n)
63  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2850, in _process_imports
64    target_module = self._safe_import_hook(*import_info, **kwargs)[0]
65  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2301, in _safe_import_hook
66    target_modules = self.import_hook(
67  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1505, in import_hook
68    target_package, target_module_partname = self._find_head_package(
69  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1684, in _find_head_package
70    target_package = self._safe_import_module(
71  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\depend\analysis.py&quot;, line 387, in _safe_import_module
72    return super()._safe_import_module(module_basename, module_name, parent_package)
73  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2062, in _safe_import_module
74    self._process_imports(n)
75  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2850, in _process_imports
76    target_module = self._safe_import_hook(*import_info, **kwargs)[0]
77  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2301, in _safe_import_hook
78    target_modules = self.import_hook(
79  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1505, in import_hook
80    target_package, target_module_partname = self._find_head_package(
81  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1684, in _find_head_package
82    target_package = self._safe_import_module(
83  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\depend\analysis.py&quot;, line 387, in _safe_import_module
84    return super()._safe_import_module(module_basename, module_name, parent_package)
85  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2062, in _safe_import_module
86    self._process_imports(n)
87  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2850, in _process_imports
88    target_module = self._safe_import_hook(*import_info, **kwargs)[0]
89  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2301, in _safe_import_hook
90    target_modules = self.import_hook(
91  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1505, in import_hook
92    target_package, target_module_partname = self._find_head_package(
93  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1684, in _find_head_package
94    target_package = self._safe_import_module(
95  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\depend\analysis.py&quot;, line 387, in _safe_import_module
96    return super()._safe_import_module(module_basename, module_name, parent_package)
97  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2062, in _safe_import_module
98    self._process_imports(n)
99  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2850, in _process_imports
100    target_module = self._safe_import_hook(*import_info, **kwargs)[0]
101  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2301, in _safe_import_hook
102    target_modules = self.import_hook(
103  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1518, in import_hook
104    submodule = self._safe_import_module(head, mname, submodule)
105  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\depend\analysis.py&quot;, line 387, in _safe_import_module
106    return super()._safe_import_module(module_basename, module_name, parent_package)
107  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2062, in _safe_import_module
108    self._process_imports(n)
109  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2850, in _process_imports
110    target_module = self._safe_import_hook(*import_info, **kwargs)[0]
111  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2301, in _safe_import_hook
112    target_modules = self.import_hook(
113  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1518, in import_hook
114    submodule = self._safe_import_module(head, mname, submodule)
115  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\depend\analysis.py&quot;, line 387, in _safe_import_module
116    return super()._safe_import_module(module_basename, module_name, parent_package)
117  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2062, in _safe_import_module
118    self._process_imports(n)
119  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2850, in _process_imports
120    target_module = self._safe_import_hook(*import_info, **kwargs)[0]
121  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2301, in _safe_import_hook
122    target_modules = self.import_hook(
123  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1518, in import_hook
124    submodule = self._safe_import_module(head, mname, submodule)
125  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\depend\analysis.py&quot;, line 387, in _safe_import_module
126    return super()._safe_import_module(module_basename, module_name, parent_package)
127  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2061, in _safe_import_module
128    n = self._scan_code(module, co, co_ast)
129  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2645, in _scan_code
130    self._scan_bytecode(
131  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2749, in _scan_bytecode
132    for inst in util.iterate_instructions(module_code_object):
133  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\util.py&quot;, line 147, in iterate_instructions
134    yield from iterate_instructions(constant)
135  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\util.py&quot;, line 139, in iterate_instructions
136    yield from get_instructions(code_object)
137  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\dis.py&quot;, line 338, in _get_instructions_bytes
138    argval, argrepr = _get_const_info(arg, constants)
139  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\dis.py&quot;, line 292, in _get_const_info
140    argval = const_list[const_index]
141IndexError: tuple index out of range
142
143Project output will not be moved to output folder
144Complete.
145

I understand that there is a thread already about similar issue but it still doesn't solve the issue. Hence seeking out help

I really have no idea why is the error occurring and how to resolve it. I am pasting the script below for your reference. Can some one please help? Thank you in advance

1Running auto-py-to-exe v2.10.1
2Building directory: C:\Users\Tarun\AppData\Local\Temp\tmpjaw1ky1x
3Provided command: pyinstaller --noconfirm --onedir --console --no-embed-manifest  &quot;C:/Users/Tarun/AppData/Local/Programs/Python/Python310/AI_Ass.py&quot;
4Recursion Limit is set to 5000
5Executing: pyinstaller --noconfirm --onedir --console --no-embed-manifest C:/Users/Tarun/AppData/Local/Programs/Python/Python310/AI_Ass.py --distpath C:\Users\Tarun\AppData\Local\Temp\tmpjaw1ky1x\application --workpath C:\Users\Tarun\AppData\Local\Temp\tmpjaw1ky1x\build --specpath C:\Users\Tarun\AppData\Local\Temp\tmpjaw1ky1x
6
742681 INFO: PyInstaller: 4.6
842690 INFO: Python: 3.10.0
942732 INFO: Platform: Windows-10-10.0.19042-SP0
1042744 INFO: wrote C:\Users\Tarun\AppData\Local\Temp\tmpjaw1ky1x\AI_Ass.spec
1142764 INFO: UPX is not available.
1242772 INFO: Extending PYTHONPATH with paths
13['C:\\Users\\Tarun\\AppData\\Local\\Programs\\Python\\Python310']
1443887 INFO: checking Analysis
1543891 INFO: Building Analysis because Analysis-00.toc is non existent
1643895 INFO: Initializing module dependency graph...
1743915 INFO: Caching module graph hooks...
1843975 INFO: Analyzing base_library.zip ...
1954298 INFO: Processing pre-find module path hook distutils from 'C:\\Users\\Tarun\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\PyInstaller\\hooks\\pre_find_module_path\\hook-distutils.py'.
2054306 INFO: distutils: retargeting to non-venv dir 'C:\\Users\\Tarun\\AppData\\Local\\Programs\\Python\\Python310\\lib'
2157474 INFO: Caching module dependency graph...
2258088 INFO: running Analysis Analysis-00.toc
2358132 INFO: Adding Microsoft.Windows.Common-Controls to dependent assemblies of final executable
24  required by C:\Users\Tarun\AppData\Local\Programs\Python\Python310\python.exe
2558365 INFO: Analyzing C:\Users\Tarun\AppData\Local\Programs\Python\Python310\AI_Ass.py
2659641 INFO: Processing pre-safe import module hook urllib3.packages.six.moves from 'C:\\Users\\Tarun\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\PyInstaller\\hooks\\pre_safe_import_module\\hook-urllib3.packages.six.moves.py'.
27An error occurred while packaging
28Traceback (most recent call last):
29  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\auto_py_to_exe\packaging.py&quot;, line 131, in package
30    run_pyinstaller()
31  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\__main__.py&quot;, line 124, in run
32    run_build(pyi_config, spec_file, **vars(args))
33  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\__main__.py&quot;, line 58, in run_build
34    PyInstaller.building.build_main.main(pyi_config, spec_file, **kwargs)
35  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\building\build_main.py&quot;, line 782, in main
36    build(specfile, kw.get('distpath'), kw.get('workpath'), kw.get('clean_build'))
37  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\building\build_main.py&quot;, line 714, in build
38    exec(code, spec_namespace)
39  File &quot;C:\Users\Tarun\AppData\Local\Temp\tmpjaw1ky1x\AI_Ass.spec&quot;, line 7, in &lt;module&gt;
40    a = Analysis(['C:/Users/Tarun/AppData/Local/Programs/Python/Python310/AI_Ass.py'],
41  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\building\build_main.py&quot;, line 277, in __init__
42    self.__postinit__()
43  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\building\datastruct.py&quot;, line 155, in __postinit__
44    self.assemble()
45  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\building\build_main.py&quot;, line 439, in assemble
46    priority_scripts.append(self.graph.add_script(script))
47  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\depend\analysis.py&quot;, line 265, in add_script
48    self._top_script_node = super().add_script(pathname)
49  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1433, in add_script
50    self._process_imports(n)
51  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2850, in _process_imports
52    target_module = self._safe_import_hook(*import_info, **kwargs)[0]
53  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2301, in _safe_import_hook
54    target_modules = self.import_hook(
55  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1505, in import_hook
56    target_package, target_module_partname = self._find_head_package(
57  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1684, in _find_head_package
58    target_package = self._safe_import_module(
59  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\depend\analysis.py&quot;, line 387, in _safe_import_module
60    return super()._safe_import_module(module_basename, module_name, parent_package)
61  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2062, in _safe_import_module
62    self._process_imports(n)
63  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2850, in _process_imports
64    target_module = self._safe_import_hook(*import_info, **kwargs)[0]
65  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2301, in _safe_import_hook
66    target_modules = self.import_hook(
67  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1505, in import_hook
68    target_package, target_module_partname = self._find_head_package(
69  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1684, in _find_head_package
70    target_package = self._safe_import_module(
71  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\depend\analysis.py&quot;, line 387, in _safe_import_module
72    return super()._safe_import_module(module_basename, module_name, parent_package)
73  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2062, in _safe_import_module
74    self._process_imports(n)
75  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2850, in _process_imports
76    target_module = self._safe_import_hook(*import_info, **kwargs)[0]
77  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2301, in _safe_import_hook
78    target_modules = self.import_hook(
79  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1505, in import_hook
80    target_package, target_module_partname = self._find_head_package(
81  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1684, in _find_head_package
82    target_package = self._safe_import_module(
83  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\depend\analysis.py&quot;, line 387, in _safe_import_module
84    return super()._safe_import_module(module_basename, module_name, parent_package)
85  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2062, in _safe_import_module
86    self._process_imports(n)
87  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2850, in _process_imports
88    target_module = self._safe_import_hook(*import_info, **kwargs)[0]
89  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2301, in _safe_import_hook
90    target_modules = self.import_hook(
91  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1505, in import_hook
92    target_package, target_module_partname = self._find_head_package(
93  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1684, in _find_head_package
94    target_package = self._safe_import_module(
95  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\depend\analysis.py&quot;, line 387, in _safe_import_module
96    return super()._safe_import_module(module_basename, module_name, parent_package)
97  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2062, in _safe_import_module
98    self._process_imports(n)
99  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2850, in _process_imports
100    target_module = self._safe_import_hook(*import_info, **kwargs)[0]
101  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2301, in _safe_import_hook
102    target_modules = self.import_hook(
103  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1518, in import_hook
104    submodule = self._safe_import_module(head, mname, submodule)
105  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\depend\analysis.py&quot;, line 387, in _safe_import_module
106    return super()._safe_import_module(module_basename, module_name, parent_package)
107  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2062, in _safe_import_module
108    self._process_imports(n)
109  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2850, in _process_imports
110    target_module = self._safe_import_hook(*import_info, **kwargs)[0]
111  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2301, in _safe_import_hook
112    target_modules = self.import_hook(
113  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1518, in import_hook
114    submodule = self._safe_import_module(head, mname, submodule)
115  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\depend\analysis.py&quot;, line 387, in _safe_import_module
116    return super()._safe_import_module(module_basename, module_name, parent_package)
117  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2062, in _safe_import_module
118    self._process_imports(n)
119  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2850, in _process_imports
120    target_module = self._safe_import_hook(*import_info, **kwargs)[0]
121  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2301, in _safe_import_hook
122    target_modules = self.import_hook(
123  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1518, in import_hook
124    submodule = self._safe_import_module(head, mname, submodule)
125  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\depend\analysis.py&quot;, line 387, in _safe_import_module
126    return super()._safe_import_module(module_basename, module_name, parent_package)
127  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2061, in _safe_import_module
128    n = self._scan_code(module, co, co_ast)
129  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2645, in _scan_code
130    self._scan_bytecode(
131  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2749, in _scan_bytecode
132    for inst in util.iterate_instructions(module_code_object):
133  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\util.py&quot;, line 147, in iterate_instructions
134    yield from iterate_instructions(constant)
135  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\util.py&quot;, line 139, in iterate_instructions
136    yield from get_instructions(code_object)
137  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\dis.py&quot;, line 338, in _get_instructions_bytes
138    argval, argrepr = _get_const_info(arg, constants)
139  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\dis.py&quot;, line 292, in _get_const_info
140    argval = const_list[const_index]
141IndexError: tuple index out of range
142
143Project output will not be moved to output folder
144Complete.
145#importing libraries
146
147import speech_recognition as sr
148import pyttsx3
149import datetime
150import wikipedia
151import webbrowser
152import os
153import time
154import subprocess
155from   ecapture import ecapture as ec
156import wolframalpha
157import json
158import requests
159
160#setting up speech engine
161engine=pyttsx3.init('sapi5')
162voices=engine.getProperty('voices')
163engine.setProperty('voice','voices[1].id')
164
165def speak(text):
166    engine.say(text)
167    engine.runAndWait()
168    
169#Greet user
170def wishMe():
171    hour=datetime.datetime.now().hour
172    if hour&gt;=0 and hour&lt;12:
173        speak(&quot;Hello,Good Morning&quot;)
174        print(&quot;Hello,Good Morning&quot;)
175    elif hour&gt;=12 and hour&lt;18:
176        speak(&quot;Hello,Good Afternoon&quot;)
177        print(&quot;Hello,Good Afternoon&quot;)
178    else:
179        speak(&quot;Hello,Good Evening&quot;)
180        print(&quot;Hello,Good Evening&quot;)
181
182#Setting up the command function for your AI assistant
183def takeCommand():
184    r=sr.Recognizer()
185    with sr.Microphone() as source:
186        print(&quot;Listening...&quot;)
187        audio=r.listen(source)
188
189        try:
190            statement=r.recognize_google(audio,language='en-in')
191            print(f&quot;user said:{statement}\n&quot;)
192
193        except Exception as e:
194            speak(&quot;Pardon me, please say that again&quot;)
195            return &quot;None&quot;
196        return statement
197
198print(&quot;Loading your AI personal assistant Friday&quot;)
199speak(&quot;Loading your AI personal assistant Friday&quot;)
200wishMe()
201
202#main function
203if __name__=='__main__':
204
205
206    while True:
207        speak(&quot;Tell me how can I help you now?&quot;)
208        statement = takeCommand().lower()
209        if statement==0:
210            continue
211
212        if &quot;good bye&quot; in statement or &quot;ok bye&quot; in statement or &quot;stop&quot; in statement:
213            speak('your personal assistant Friday is shutting down,Good bye')
214            print('your personal assistant Friday is shutting down,Good bye')
215            break
216
217
218        if 'wikipedia' in statement:
219            speak('Searching Wikipedia...')
220            statement =statement.replace(&quot;wikipedia&quot;, &quot;&quot;)
221            results = wikipedia.summary(statement, sentences=10)
222            webbrowser.open_new_tab(&quot;https://en.wikipedia.org/wiki/&quot;+ statement)
223            speak(&quot;According to Wikipedia&quot;)
224            print(results)
225            speak(results)
226
227        elif 'open youtube' in statement:
228            webbrowser.register('chrome', None,
229        webbrowser.BackgroundBrowser(&quot;C://Program Files (x86)//Google//Chrome//Application//chrome.exe&quot;))
230            webbrowser.get('chrome').open_new_tab(&quot;https://www.youtube.com&quot;)
231            #webbrowser.open_new_tab(&quot;https://www.youtube.com&quot;)
232            speak(&quot;youtube is open now&quot;)
233            time.sleep(5)
234
235        elif 'open google' in statement:
236            webbrowser.open_new_tab(&quot;https://www.google.com&quot;)
237            speak(&quot;Google chrome is open now&quot;)
238            time.sleep(5)
239
240        elif 'open gmail' in statement:
241            webbrowser.open_new_tab(&quot;gmail.com&quot;)
242            speak(&quot;Google Mail open now&quot;)
243            time.sleep(5)
244        
245        elif 'time' in statement:
246            strTime=datetime.datetime.now().strftime(&quot;%H:%M:%S&quot;)
247            speak(f&quot;the time is {strTime}&quot;)
248
249        elif 'news' in statement:
250            news = webbrowser.open_new_tab(&quot;https://timesofindia.indiatimes.com/home/headlines&quot;)
251            speak('Here are some headlines from the Times of India,Happy reading')
252            time.sleep(6)
253
254        elif &quot;camera&quot; in statement or &quot;take a photo&quot; in statement:
255            ec.capture(0,&quot;robo camera&quot;,&quot;img.jpg&quot;)
256
257        elif 'search' in statement:
258            statement = statement.replace(&quot;search&quot;, &quot;&quot;)
259            webbrowser.open_new_tab(statement)
260            time.sleep(5)
261
262        elif 'who are you' in statement or 'what can you do' in statement:
263            speak('I am Friday version 1 point O your personal assistant. I am programmed to minor tasks like'
264            'opening youtube,google chrome, gmail and stackoverflow ,predict time,take a photo,search wikipedia,predict weather' 
265            'In different cities, get top headline news from times of india and you can ask me computational or geographical questions too!')
266
267
268        elif &quot;who made you&quot; in statement or &quot;who created you&quot; in statement or &quot;who discovered you&quot; in statement:
269            speak(&quot;I was built by Mirthula&quot;)
270            print(&quot;I was built by Mirthula&quot;)
271
272        elif &quot;log off&quot; in statement or &quot;sign out&quot; in statement:
273            speak(&quot;Ok , your pc will log off in 10 sec make sure you exit from all applications&quot;)
274            subprocess.call([&quot;shutdown&quot;, &quot;/l&quot;])
275            
276time.sleep(3)
277

ANSWER

Answered 2021-Nov-05 at 02:20

1Running auto-py-to-exe v2.10.1
2Building directory: C:\Users\Tarun\AppData\Local\Temp\tmpjaw1ky1x
3Provided command: pyinstaller --noconfirm --onedir --console --no-embed-manifest  &quot;C:/Users/Tarun/AppData/Local/Programs/Python/Python310/AI_Ass.py&quot;
4Recursion Limit is set to 5000
5Executing: pyinstaller --noconfirm --onedir --console --no-embed-manifest C:/Users/Tarun/AppData/Local/Programs/Python/Python310/AI_Ass.py --distpath C:\Users\Tarun\AppData\Local\Temp\tmpjaw1ky1x\application --workpath C:\Users\Tarun\AppData\Local\Temp\tmpjaw1ky1x\build --specpath C:\Users\Tarun\AppData\Local\Temp\tmpjaw1ky1x
6
742681 INFO: PyInstaller: 4.6
842690 INFO: Python: 3.10.0
942732 INFO: Platform: Windows-10-10.0.19042-SP0
1042744 INFO: wrote C:\Users\Tarun\AppData\Local\Temp\tmpjaw1ky1x\AI_Ass.spec
1142764 INFO: UPX is not available.
1242772 INFO: Extending PYTHONPATH with paths
13['C:\\Users\\Tarun\\AppData\\Local\\Programs\\Python\\Python310']
1443887 INFO: checking Analysis
1543891 INFO: Building Analysis because Analysis-00.toc is non existent
1643895 INFO: Initializing module dependency graph...
1743915 INFO: Caching module graph hooks...
1843975 INFO: Analyzing base_library.zip ...
1954298 INFO: Processing pre-find module path hook distutils from 'C:\\Users\\Tarun\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\PyInstaller\\hooks\\pre_find_module_path\\hook-distutils.py'.
2054306 INFO: distutils: retargeting to non-venv dir 'C:\\Users\\Tarun\\AppData\\Local\\Programs\\Python\\Python310\\lib'
2157474 INFO: Caching module dependency graph...
2258088 INFO: running Analysis Analysis-00.toc
2358132 INFO: Adding Microsoft.Windows.Common-Controls to dependent assemblies of final executable
24  required by C:\Users\Tarun\AppData\Local\Programs\Python\Python310\python.exe
2558365 INFO: Analyzing C:\Users\Tarun\AppData\Local\Programs\Python\Python310\AI_Ass.py
2659641 INFO: Processing pre-safe import module hook urllib3.packages.six.moves from 'C:\\Users\\Tarun\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\PyInstaller\\hooks\\pre_safe_import_module\\hook-urllib3.packages.six.moves.py'.
27An error occurred while packaging
28Traceback (most recent call last):
29  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\auto_py_to_exe\packaging.py&quot;, line 131, in package
30    run_pyinstaller()
31  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\__main__.py&quot;, line 124, in run
32    run_build(pyi_config, spec_file, **vars(args))
33  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\__main__.py&quot;, line 58, in run_build
34    PyInstaller.building.build_main.main(pyi_config, spec_file, **kwargs)
35  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\building\build_main.py&quot;, line 782, in main
36    build(specfile, kw.get('distpath'), kw.get('workpath'), kw.get('clean_build'))
37  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\building\build_main.py&quot;, line 714, in build
38    exec(code, spec_namespace)
39  File &quot;C:\Users\Tarun\AppData\Local\Temp\tmpjaw1ky1x\AI_Ass.spec&quot;, line 7, in &lt;module&gt;
40    a = Analysis(['C:/Users/Tarun/AppData/Local/Programs/Python/Python310/AI_Ass.py'],
41  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\building\build_main.py&quot;, line 277, in __init__
42    self.__postinit__()
43  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\building\datastruct.py&quot;, line 155, in __postinit__
44    self.assemble()
45  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\building\build_main.py&quot;, line 439, in assemble
46    priority_scripts.append(self.graph.add_script(script))
47  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\depend\analysis.py&quot;, line 265, in add_script
48    self._top_script_node = super().add_script(pathname)
49  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1433, in add_script
50    self._process_imports(n)
51  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2850, in _process_imports
52    target_module = self._safe_import_hook(*import_info, **kwargs)[0]
53  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2301, in _safe_import_hook
54    target_modules = self.import_hook(
55  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1505, in import_hook
56    target_package, target_module_partname = self._find_head_package(
57  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1684, in _find_head_package
58    target_package = self._safe_import_module(
59  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\depend\analysis.py&quot;, line 387, in _safe_import_module
60    return super()._safe_import_module(module_basename, module_name, parent_package)
61  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2062, in _safe_import_module
62    self._process_imports(n)
63  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2850, in _process_imports
64    target_module = self._safe_import_hook(*import_info, **kwargs)[0]
65  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2301, in _safe_import_hook
66    target_modules = self.import_hook(
67  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1505, in import_hook
68    target_package, target_module_partname = self._find_head_package(
69  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1684, in _find_head_package
70    target_package = self._safe_import_module(
71  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\depend\analysis.py&quot;, line 387, in _safe_import_module
72    return super()._safe_import_module(module_basename, module_name, parent_package)
73  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2062, in _safe_import_module
74    self._process_imports(n)
75  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2850, in _process_imports
76    target_module = self._safe_import_hook(*import_info, **kwargs)[0]
77  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2301, in _safe_import_hook
78    target_modules = self.import_hook(
79  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1505, in import_hook
80    target_package, target_module_partname = self._find_head_package(
81  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1684, in _find_head_package
82    target_package = self._safe_import_module(
83  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\depend\analysis.py&quot;, line 387, in _safe_import_module
84    return super()._safe_import_module(module_basename, module_name, parent_package)
85  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2062, in _safe_import_module
86    self._process_imports(n)
87  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2850, in _process_imports
88    target_module = self._safe_import_hook(*import_info, **kwargs)[0]
89  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2301, in _safe_import_hook
90    target_modules = self.import_hook(
91  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1505, in import_hook
92    target_package, target_module_partname = self._find_head_package(
93  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1684, in _find_head_package
94    target_package = self._safe_import_module(
95  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\depend\analysis.py&quot;, line 387, in _safe_import_module
96    return super()._safe_import_module(module_basename, module_name, parent_package)
97  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2062, in _safe_import_module
98    self._process_imports(n)
99  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2850, in _process_imports
100    target_module = self._safe_import_hook(*import_info, **kwargs)[0]
101  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2301, in _safe_import_hook
102    target_modules = self.import_hook(
103  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1518, in import_hook
104    submodule = self._safe_import_module(head, mname, submodule)
105  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\depend\analysis.py&quot;, line 387, in _safe_import_module
106    return super()._safe_import_module(module_basename, module_name, parent_package)
107  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2062, in _safe_import_module
108    self._process_imports(n)
109  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2850, in _process_imports
110    target_module = self._safe_import_hook(*import_info, **kwargs)[0]
111  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2301, in _safe_import_hook
112    target_modules = self.import_hook(
113  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1518, in import_hook
114    submodule = self._safe_import_module(head, mname, submodule)
115  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\depend\analysis.py&quot;, line 387, in _safe_import_module
116    return super()._safe_import_module(module_basename, module_name, parent_package)
117  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2062, in _safe_import_module
118    self._process_imports(n)
119  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2850, in _process_imports
120    target_module = self._safe_import_hook(*import_info, **kwargs)[0]
121  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2301, in _safe_import_hook
122    target_modules = self.import_hook(
123  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 1518, in import_hook
124    submodule = self._safe_import_module(head, mname, submodule)
125  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\depend\analysis.py&quot;, line 387, in _safe_import_module
126    return super()._safe_import_module(module_basename, module_name, parent_package)
127  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2061, in _safe_import_module
128    n = self._scan_code(module, co, co_ast)
129  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2645, in _scan_code
130    self._scan_bytecode(
131  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\modulegraph.py&quot;, line 2749, in _scan_bytecode
132    for inst in util.iterate_instructions(module_code_object):
133  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\util.py&quot;, line 147, in iterate_instructions
134    yield from iterate_instructions(constant)
135  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\site-packages\PyInstaller\lib\modulegraph\util.py&quot;, line 139, in iterate_instructions
136    yield from get_instructions(code_object)
137  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\dis.py&quot;, line 338, in _get_instructions_bytes
138    argval, argrepr = _get_const_info(arg, constants)
139  File &quot;C:\Users\Tarun\AppData\Local\Programs\Python\Python310\lib\dis.py&quot;, line 292, in _get_const_info
140    argval = const_list[const_index]
141IndexError: tuple index out of range
142
143Project output will not be moved to output folder
144Complete.
145#importing libraries
146
147import speech_recognition as sr
148import pyttsx3
149import datetime
150import wikipedia
151import webbrowser
152import os
153import time
154import subprocess
155from   ecapture import ecapture as ec
156import wolframalpha
157import json
158import requests
159
160#setting up speech engine
161engine=pyttsx3.init('sapi5')
162voices=engine.getProperty('voices')
163engine.setProperty('voice','voices[1].id')
164
165def speak(text):
166    engine.say(text)
167    engine.runAndWait()
168    
169#Greet user
170def wishMe():
171    hour=datetime.datetime.now().hour
172    if hour&gt;=0 and hour&lt;12:
173        speak(&quot;Hello,Good Morning&quot;)
174        print(&quot;Hello,Good Morning&quot;)
175    elif hour&gt;=12 and hour&lt;18:
176        speak(&quot;Hello,Good Afternoon&quot;)
177        print(&quot;Hello,Good Afternoon&quot;)
178    else:
179        speak(&quot;Hello,Good Evening&quot;)
180        print(&quot;Hello,Good Evening&quot;)
181
182#Setting up the command function for your AI assistant
183def takeCommand():
184    r=sr.Recognizer()
185    with sr.Microphone() as source:
186        print(&quot;Listening...&quot;)
187        audio=r.listen(source)
188
189        try:
190            statement=r.recognize_google(audio,language='en-in')
191            print(f&quot;user said:{statement}\n&quot;)
192
193        except Exception as e:
194            speak(&quot;Pardon me, please say that again&quot;)
195            return &quot;None&quot;
196        return statement
197
198print(&quot;Loading your AI personal assistant Friday&quot;)
199speak(&quot;Loading your AI personal assistant Friday&quot;)
200wishMe()
201
202#main function
203if __name__=='__main__':
204
205
206    while True:
207        speak(&quot;Tell me how can I help you now?&quot;)
208        statement = takeCommand().lower()
209        if statement==0:
210            continue
211
212        if &quot;good bye&quot; in statement or &quot;ok bye&quot; in statement or &quot;stop&quot; in statement:
213            speak('your personal assistant Friday is shutting down,Good bye')
214            print('your personal assistant Friday is shutting down,Good bye')
215            break
216
217
218        if 'wikipedia' in statement:
219            speak('Searching Wikipedia...')
220            statement =statement.replace(&quot;wikipedia&quot;, &quot;&quot;)
221            results = wikipedia.summary(statement, sentences=10)
222            webbrowser.open_new_tab(&quot;https://en.wikipedia.org/wiki/&quot;+ statement)
223            speak(&quot;According to Wikipedia&quot;)
224            print(results)
225            speak(results)
226
227        elif 'open youtube' in statement:
228            webbrowser.register('chrome', None,
229        webbrowser.BackgroundBrowser(&quot;C://Program Files (x86)//Google//Chrome//Application//chrome.exe&quot;))
230            webbrowser.get('chrome').open_new_tab(&quot;https://www.youtube.com&quot;)
231            #webbrowser.open_new_tab(&quot;https://www.youtube.com&quot;)
232            speak(&quot;youtube is open now&quot;)
233            time.sleep(5)
234
235        elif 'open google' in statement:
236            webbrowser.open_new_tab(&quot;https://www.google.com&quot;)
237            speak(&quot;Google chrome is open now&quot;)
238            time.sleep(5)
239
240        elif 'open gmail' in statement:
241            webbrowser.open_new_tab(&quot;gmail.com&quot;)
242            speak(&quot;Google Mail open now&quot;)
243            time.sleep(5)
244        
245        elif 'time' in statement:
246            strTime=datetime.datetime.now().strftime(&quot;%H:%M:%S&quot;)
247            speak(f&quot;the time is {strTime}&quot;)
248
249        elif 'news' in statement:
250            news = webbrowser.open_new_tab(&quot;https://timesofindia.indiatimes.com/home/headlines&quot;)
251            speak('Here are some headlines from the Times of India,Happy reading')
252            time.sleep(6)
253
254        elif &quot;camera&quot; in statement or &quot;take a photo&quot; in statement:
255            ec.capture(0,&quot;robo camera&quot;,&quot;img.jpg&quot;)
256
257        elif 'search' in statement:
258            statement = statement.replace(&quot;search&quot;, &quot;&quot;)
259            webbrowser.open_new_tab(statement)
260            time.sleep(5)
261
262        elif 'who are you' in statement or 'what can you do' in statement:
263            speak('I am Friday version 1 point O your personal assistant. I am programmed to minor tasks like'
264            'opening youtube,google chrome, gmail and stackoverflow ,predict time,take a photo,search wikipedia,predict weather' 
265            'In different cities, get top headline news from times of india and you can ask me computational or geographical questions too!')
266
267
268        elif &quot;who made you&quot; in statement or &quot;who created you&quot; in statement or &quot;who discovered you&quot; in statement:
269            speak(&quot;I was built by Mirthula&quot;)
270            print(&quot;I was built by Mirthula&quot;)
271
272        elif &quot;log off&quot; in statement or &quot;sign out&quot; in statement:
273            speak(&quot;Ok , your pc will log off in 10 sec make sure you exit from all applications&quot;)
274            subprocess.call([&quot;shutdown&quot;, &quot;/l&quot;])
275            
276time.sleep(3)
27742681 INFO: PyInstaller: 4.6
27842690 INFO: Python: 3.10.0
279

There's the issue. Python 3.10.0 has a bug with PyInstaller 4.6. The problem isn't you or PyInstaller. Try converting it using Python 3.9.7 instead. Ironic, considering 3.10.0 was suppose to be a bugfix update.

Source https://stackoverflow.com/questions/69776492

QUESTION

Google Actions Builder stops execution when selecting a visual item from a List

Asked 2022-Feb-23 at 15:32

I'm pulling my hairs here. I have a Google Assistant application that I build with Jovo 4 and Google Actions Builder.

The goal is to create a HelpScene, which shows some options that explain the possibilities/features of the app on selection. This is the response I return from my Webhook. (This is Jovo code, but doesn't matter as this returns a JSON when the Assistant calls the webhook.)

1@Handle(GoogleAssistantHandles.onScene('HelpScene'))
2  showHelpList() {
3    return this.$send({
4      platforms: {
5        googleAssistant: {
6          nativeResponse: {
7            scene: {
8              name: this.jovo.$googleAssistant?.$request.scene?.name,
9              slots: {},
10              next: {
11                name: 'MainScene',
12              },
13            },
14            session: {
15              id: 'session_id',
16              languageCode: 'nl-BE',
17              params: {},
18              typeOverrides: [
19                {
20                  name: 'prompt_option',
21                  synonym: {
22                    entries: [
23                      {
24                        name: 'ITEM_1',
25                        synonyms: ['Item 1', 'First item'],
26                        display: {
27                          title: 'Item #1',
28                          description: 'Description of Item #1',
29                          image: {
30                            alt: 'Google Assistant logo',
31                            height: 0,
32                            url: 'https://developers.google.com/assistant/assistant_96.png',
33                            width: 0,
34                          },
35                        },
36                      },
37                      {
38                        name: 'ITEM_2',
39                        synonyms: ['Item 2', 'Second item'],
40                        display: {
41                          title: 'Item #2',
42                          description: 'Description of Item #2',
43                          image: {
44                            alt: 'Google Assistant logo',
45                            height: 0,
46                            url: 'https://developers.google.com/assistant/assistant_96.png',
47                            width: 0,
48                          },
49                        },
50                      },
51                      {
52                        name: 'ITEM_3',
53                        synonyms: ['Item 3', 'Third item'],
54                        display: {
55                          title: 'Item #3',
56                          description: 'Description of Item #3',
57                          image: {
58                            alt: 'Google Assistant logo',
59                            height: 0,
60                            url: 'https://developers.google.com/assistant/assistant_96.png',
61                            width: 0,
62                          },
63                        },
64                      },
65                      {
66                        name: 'ITEM_4',
67                        synonyms: ['Item 4', 'Fourth item'],
68                        display: {
69                          title: 'Item #4',
70                          description: 'Description of Item #4',
71                          image: {
72                            alt: 'Google Assistant logo',
73                            height: 0,
74                            url: 'https://developers.google.com/assistant/assistant_96.png',
75                            width: 0,
76                          },
77                        },
78                      },
79                    ],
80                  },
81                  typeOverrideMode: 'TYPE_REPLACE',
82                },
83              ],
84            },
85            prompt: {
86              override: false,
87              content: {
88                collection: {
89                  items: [
90                    {
91                      key: 'ITEM_1',
92                    },
93                    {
94                      key: 'ITEM_2',
95                    },
96                    {
97                      key: 'ITEM_3',
98                    },
99                    {
100                      key: 'ITEM_4',
101                    },
102                  ],
103                  subtitle: 'List subtitle',
104                  title: 'List title',
105                },
106              },
107              firstSimple: {
108                speech: 'This is a list.',
109                text: 'This is a list.',
110              },
111            },
112          },
113        },
114      },
115    });
116

I created a HelpScene which pulls my options from my webhook.

In my slot filling, this is the configuration.

When I use the simulator, the options from my webhook are shown perfectly. But when I click an item in the list, the app just stops working. "YourApp is currently not responding".

At first I thought it had something to do with my webhook, so I changed the behaviour of the "on slot is filled" condition, that it should prompt something, directly from Google Actions Builder, but the behaviour is still not desired: the app just stops working.

Any ideas what I'm doing wrong?

Thanks in advance!

ANSWER

Answered 2022-Feb-23 at 15:32

Okay, after days of searching, I finally figured it out. It did have something to do with the Jovo framework/setup and/or the scene parameter in the native response.

This is my component, in which I redirect new users to the HelpScene. This scene should show multiple cards in a list/collection/whatever on which the user can tap to receive more information about the application's features.

1@Handle(GoogleAssistantHandles.onScene('HelpScene'))
2  showHelpList() {
3    return this.$send({
4      platforms: {
5        googleAssistant: {
6          nativeResponse: {
7            scene: {
8              name: this.jovo.$googleAssistant?.$request.scene?.name,
9              slots: {},
10              next: {
11                name: 'MainScene',
12              },
13            },
14            session: {
15              id: 'session_id',
16              languageCode: 'nl-BE',
17              params: {},
18              typeOverrides: [
19                {
20                  name: 'prompt_option',
21                  synonym: {
22                    entries: [
23                      {
24                        name: 'ITEM_1',
25                        synonyms: ['Item 1', 'First item'],
26                        display: {
27                          title: 'Item #1',
28                          description: 'Description of Item #1',
29                          image: {
30                            alt: 'Google Assistant logo',
31                            height: 0,
32                            url: 'https://developers.google.com/assistant/assistant_96.png',
33                            width: 0,
34                          },
35                        },
36                      },
37                      {
38                        name: 'ITEM_2',
39                        synonyms: ['Item 2', 'Second item'],
40                        display: {
41                          title: 'Item #2',
42                          description: 'Description of Item #2',
43                          image: {
44                            alt: 'Google Assistant logo',
45                            height: 0,
46                            url: 'https://developers.google.com/assistant/assistant_96.png',
47                            width: 0,
48                          },
49                        },
50                      },
51                      {
52                        name: 'ITEM_3',
53                        synonyms: ['Item 3', 'Third item'],
54                        display: {
55                          title: 'Item #3',
56                          description: 'Description of Item #3',
57                          image: {
58                            alt: 'Google Assistant logo',
59                            height: 0,
60                            url: 'https://developers.google.com/assistant/assistant_96.png',
61                            width: 0,
62                          },
63                        },
64                      },
65                      {
66                        name: 'ITEM_4',
67                        synonyms: ['Item 4', 'Fourth item'],
68                        display: {
69                          title: 'Item #4',
70                          description: 'Description of Item #4',
71                          image: {
72                            alt: 'Google Assistant logo',
73                            height: 0,
74                            url: 'https://developers.google.com/assistant/assistant_96.png',
75                            width: 0,
76                          },
77                        },
78                      },
79                    ],
80                  },
81                  typeOverrideMode: 'TYPE_REPLACE',
82                },
83              ],
84            },
85            prompt: {
86              override: false,
87              content: {
88                collection: {
89                  items: [
90                    {
91                      key: 'ITEM_1',
92                    },
93                    {
94                      key: 'ITEM_2',
95                    },
96                    {
97                      key: 'ITEM_3',
98                    },
99                    {
100                      key: 'ITEM_4',
101                    },
102                  ],
103                  subtitle: 'List subtitle',
104                  title: 'List title',
105                },
106              },
107              firstSimple: {
108                speech: 'This is a list.',
109                text: 'This is a list.',
110              },
111            },
112          },
113        },
114      },
115    });
116@Component()
117export class WelcomeComponent extends BaseComponent {
118  async START(): Promise&lt;void&gt; {
119    const isNewUser = true;
120    if (isNewUser &amp;&amp; this.$device.supports(Capability.Screen)) {
121      return this.$send(NextSceneOutput, {
122        name: 'HelpScene',
123        message: 'Hi, I noticed you are a new user, let me walk you through some options.',
124      });
125    }
126
127    return this.$send('Welcome!');
128  }
129
130  @Handle(GoogleAssistantHandles.onScene('HelpScene'))
131  help() {
132    const sessionData = this.$request.getSession();
133    if (sessionData &amp;&amp; sessionData.prompt_option) {
134      return this.$send(NextSceneOutput, {
135        name: 'MainScene',
136        message: `You picked option ${sessionData.prompt_option}. This is some info about it ... What do you want to do now?`,
137      });
138    }
139
140    return this.$send({
141      platforms: {
142        googleAssistant: {
143          nativeResponse: {
144            session: {
145              id: 'session_id',
146              languageCode: '',
147              params: {},
148              typeOverrides: [
149                {
150                  name: 'HelpOptionType',
151                  typeOverrideMode: 'TYPE_REPLACE',
152                  synonym: {
153                    entries: [
154                      {
155                        name: 'ITEM_1',
156                        synonyms: ['Item 1', 'First item'],
157                        display: {
158                          title: 'Item #1',
159                          description: 'Description of Item #1',
160                          image: {
161                            alt: 'Google Assistant logo',
162                            height: 0,
163                            url: 'https://developers.google.com/assistant/assistant_96.png',
164                            width: 0,
165                          },
166                        },
167                      },
168                      {
169                        name: 'ITEM_2',
170                        synonyms: ['Item 2', 'Second item'],
171                        display: {
172                          title: 'Item #2',
173                          description: 'Description of Item #2',
174                          image: {
175                            alt: 'Google Assistant logo',
176                            height: 0,
177                            url: 'https://developers.google.com/assistant/assistant_96.png',
178                            width: 0,
179                          },
180                        },
181                      },
182                      {
183                        name: 'ITEM_3',
184                        synonyms: ['Item 3', 'Third item'],
185                        display: {
186                          title: 'Item #3',
187                          description: 'Description of Item #3',
188                          image: {
189                            alt: 'Google Assistant logo',
190                            height: 0,
191                            url: 'https://developers.google.com/assistant/assistant_96.png',
192                            width: 0,
193                          },
194                        },
195                      },
196                      {
197                        name: 'ITEM_4',
198                        synonyms: ['Item 4', 'Fourth item'],
199                        display: {
200                          title: 'Item #4',
201                          description: 'Description of Item #4',
202                          image: {
203                            alt: 'Google Assistant logo',
204                            height: 0,
205                            url: 'https://developers.google.com/assistant/assistant_96.png',
206                            width: 0,
207                          },
208                        },
209                      },
210                    ],
211                  },
212                },
213              ],
214            },
215            prompt: {
216              override: false,
217              content: {
218                list: {
219                  items: [
220                    {
221                      key: 'ITEM_1',
222                    },
223                    {
224                      key: 'ITEM_2',
225                    },
226                    {
227                      key: 'ITEM_3',
228                    },
229                    {
230                      key: 'ITEM_4',
231                    },
232                  ],
233                  subtitle: 'List subtitle',
234                  title: 'List title',
235                },
236              },
237              firstSimple: {
238                speech: 'This is a list.',
239                text: 'This is a list.',
240              },
241            },
242          },
243        },
244      },
245    });
246  }
247
248  // ...other intents...
249

In AoG I made 2 scenes, 1 MainScene on which a user enters the app and one HelpScene, which looks like this (yaml config). The goal of the HelpScene is only to be used for slot filling on the different options, then a user should go back to the MainScene.

1@Handle(GoogleAssistantHandles.onScene('HelpScene'))
2  showHelpList() {
3    return this.$send({
4      platforms: {
5        googleAssistant: {
6          nativeResponse: {
7            scene: {
8              name: this.jovo.$googleAssistant?.$request.scene?.name,
9              slots: {},
10              next: {
11                name: 'MainScene',
12              },
13            },
14            session: {
15              id: 'session_id',
16              languageCode: 'nl-BE',
17              params: {},
18              typeOverrides: [
19                {
20                  name: 'prompt_option',
21                  synonym: {
22                    entries: [
23                      {
24                        name: 'ITEM_1',
25                        synonyms: ['Item 1', 'First item'],
26                        display: {
27                          title: 'Item #1',
28                          description: 'Description of Item #1',
29                          image: {
30                            alt: 'Google Assistant logo',
31                            height: 0,
32                            url: 'https://developers.google.com/assistant/assistant_96.png',
33                            width: 0,
34                          },
35                        },
36                      },
37                      {
38                        name: 'ITEM_2',
39                        synonyms: ['Item 2', 'Second item'],
40                        display: {
41                          title: 'Item #2',
42                          description: 'Description of Item #2',
43                          image: {
44                            alt: 'Google Assistant logo',
45                            height: 0,
46                            url: 'https://developers.google.com/assistant/assistant_96.png',
47                            width: 0,
48                          },
49                        },
50                      },
51                      {
52                        name: 'ITEM_3',
53                        synonyms: ['Item 3', 'Third item'],
54                        display: {
55                          title: 'Item #3',
56                          description: 'Description of Item #3',
57                          image: {
58                            alt: 'Google Assistant logo',
59                            height: 0,
60                            url: 'https://developers.google.com/assistant/assistant_96.png',
61                            width: 0,
62                          },
63                        },
64                      },
65                      {
66                        name: 'ITEM_4',
67                        synonyms: ['Item 4', 'Fourth item'],
68                        display: {
69                          title: 'Item #4',
70                          description: 'Description of Item #4',
71                          image: {
72                            alt: 'Google Assistant logo',
73                            height: 0,
74                            url: 'https://developers.google.com/assistant/assistant_96.png',
75                            width: 0,
76                          },
77                        },
78                      },
79                    ],
80                  },
81                  typeOverrideMode: 'TYPE_REPLACE',
82                },
83              ],
84            },
85            prompt: {
86              override: false,
87              content: {
88                collection: {
89                  items: [
90                    {
91                      key: 'ITEM_1',
92                    },
93                    {
94                      key: 'ITEM_2',
95                    },
96                    {
97                      key: 'ITEM_3',
98                    },
99                    {
100                      key: 'ITEM_4',
101                    },
102                  ],
103                  subtitle: 'List subtitle',
104                  title: 'List title',
105                },
106              },
107              firstSimple: {
108                speech: 'This is a list.',
109                text: 'This is a list.',
110              },
111            },
112          },
113        },
114      },
115    });
116@Component()
117export class WelcomeComponent extends BaseComponent {
118  async START(): Promise&lt;void&gt; {
119    const isNewUser = true;
120    if (isNewUser &amp;&amp; this.$device.supports(Capability.Screen)) {
121      return this.$send(NextSceneOutput, {
122        name: 'HelpScene',
123        message: 'Hi, I noticed you are a new user, let me walk you through some options.',
124      });
125    }
126
127    return this.$send('Welcome!');
128  }
129
130  @Handle(GoogleAssistantHandles.onScene('HelpScene'))
131  help() {
132    const sessionData = this.$request.getSession();
133    if (sessionData &amp;&amp; sessionData.prompt_option) {
134      return this.$send(NextSceneOutput, {
135        name: 'MainScene',
136        message: `You picked option ${sessionData.prompt_option}. This is some info about it ... What do you want to do now?`,
137      });
138    }
139
140    return this.$send({
141      platforms: {
142        googleAssistant: {
143          nativeResponse: {
144            session: {
145              id: 'session_id',
146              languageCode: '',
147              params: {},
148              typeOverrides: [
149                {
150                  name: 'HelpOptionType',
151                  typeOverrideMode: 'TYPE_REPLACE',
152                  synonym: {
153                    entries: [
154                      {
155                        name: 'ITEM_1',
156                        synonyms: ['Item 1', 'First item'],
157                        display: {
158                          title: 'Item #1',
159                          description: 'Description of Item #1',
160                          image: {
161                            alt: 'Google Assistant logo',
162                            height: 0,
163                            url: 'https://developers.google.com/assistant/assistant_96.png',
164                            width: 0,
165                          },
166                        },
167                      },
168                      {
169                        name: 'ITEM_2',
170                        synonyms: ['Item 2', 'Second item'],
171                        display: {
172                          title: 'Item #2',
173                          description: 'Description of Item #2',
174                          image: {
175                            alt: 'Google Assistant logo',
176                            height: 0,
177                            url: 'https://developers.google.com/assistant/assistant_96.png',
178                            width: 0,
179                          },
180                        },
181                      },
182                      {
183                        name: 'ITEM_3',
184                        synonyms: ['Item 3', 'Third item'],
185                        display: {
186                          title: 'Item #3',
187                          description: 'Description of Item #3',
188                          image: {
189                            alt: 'Google Assistant logo',
190                            height: 0,
191                            url: 'https://developers.google.com/assistant/assistant_96.png',
192                            width: 0,
193                          },
194                        },
195                      },
196                      {
197                        name: 'ITEM_4',
198                        synonyms: ['Item 4', 'Fourth item'],
199                        display: {
200                          title: 'Item #4',
201                          description: 'Description of Item #4',
202                          image: {
203                            alt: 'Google Assistant logo',
204                            height: 0,
205                            url: 'https://developers.google.com/assistant/assistant_96.png',
206                            width: 0,
207                          },
208                        },
209                      },
210                    ],
211                  },
212                },
213              ],
214            },
215            prompt: {
216              override: false,
217              content: {
218                list: {
219                  items: [
220                    {
221                      key: 'ITEM_1',
222                    },
223                    {
224                      key: 'ITEM_2',
225                    },
226                    {
227                      key: 'ITEM_3',
228                    },
229                    {
230                      key: 'ITEM_4',
231                    },
232                  ],
233                  subtitle: 'List subtitle',
234                  title: 'List title',
235                },
236              },
237              firstSimple: {
238                speech: 'This is a list.',
239                text: 'This is a list.',
240              },
241            },
242          },
243        },
244      },
245    });
246  }
247
248  // ...other intents...
249&quot;conditionalEvents&quot;:
250  - &quot;condition&quot;: &quot;scene.slots.status == \&quot;FINAL\&quot;&quot;
251    &quot;handler&quot;:
252      &quot;webhookHandler&quot;: &quot;Jovo&quot;
253&quot;slots&quot;:
254  - &quot;commitBehavior&quot;:
255      &quot;writeSessionParam&quot;: &quot;prompt_option&quot;
256    &quot;name&quot;: &quot;prompt_option&quot;
257    &quot;promptSettings&quot;:
258      &quot;initialPrompt&quot;:
259        &quot;webhookHandler&quot;: &quot;Jovo&quot;
260    &quot;required&quot;: true
261    &quot;type&quot;:
262      &quot;name&quot;: &quot;HelpOptionType&quot;
263

As you can see in my help() method, I just check if the session param is filled out. If it is, I redirect the user to the MainScene, but first give a response about the chosen option.

Source https://stackoverflow.com/questions/70968978

QUESTION

How to use muti-language in 'gTTS' for single input line?

Asked 2022-Jan-29 at 07:05

I want to convert text to speech from a document where multiple languages are included. When I am trying to do the following code, I fetch problems to record each language clearly. How can I save such type mixer text-audio clearly?

1from gtts import gTTS
2mytext = 'Welcome to gtts! আজ একটি ভাল দিন। tumi kemon acho? ٱلْحَمْدُ لِلَّٰهِ'
3language = 'ar' # arabic
4myobj = gTTS(text=mytext, tld='co.in', lang=language, slow=False)
5myobj.save(&quot;audio.mp3&quot;)
6

ANSWER

Answered 2022-Jan-29 at 07:05

It's not enough to use just text to speech, since it can work with one language only.
To solve this problem we need to detect language for each part of the sentence.
Then run it through text to speech and append it to our final spoken sentence.
It would be ideal to use some neural network (there are plenty) to do this categorization for You.
Just for a sake of proof of concept I used googletrans to detect language for each part of the sentences and gtts to make a mp3 file from it.

It's not bullet proof, especially with arabic text. googletrans somehow detect different language code, which is not recognized by gtts. For that reason we have to use code_table to pick proper language code that works with gtts.

Here is working example:

1from gtts import gTTS
2mytext = 'Welcome to gtts! আজ একটি ভাল দিন। tumi kemon acho? ٱلْحَمْدُ لِلَّٰهِ'
3language = 'ar' # arabic
4myobj = gTTS(text=mytext, tld='co.in', lang=language, slow=False)
5myobj.save(&quot;audio.mp3&quot;)
6from googletrans import Translator
7from gtts import gTTS
8
9input_text = &quot;Welcome to gtts! আজ একটি ভাল দিন। tumi kemon acho? ٱلْحَمْدُ لِلَّٰه&quot;
10words = input_text.split(&quot; &quot;)
11translator = Translator()
12language, sentence = None, &quot;&quot;
13
14lang_code_table = {&quot;sd&quot;: &quot;ar&quot;}
15
16with open('output.mp3', 'wb') as ff:
17    for word in words:
18        if word == &quot; &quot;:
19            continue
20        # Detect language of current word
21        word_language = translator.detect(word).lang
22
23        if word_language == language:
24            # Same language, append word to the sentence
25            sentence += &quot; &quot; + word
26        else:
27            if language is None:
28                # No language set yet, initialize and continue
29                language, sentence = word_language, word
30                continue
31
32            if word.endswith((&quot;?&quot;, &quot;.&quot;, &quot;!&quot;)):
33                # If word endswith one of the punctuation marks, it should be part of previous sentence
34                sentence += &quot; &quot; + word
35                continue
36
37            # We have whole previous sentence, translate it into speech and append to mp3 file
38            gTTS(text=sentence, lang=lang_code_table.get(language, language), slow=False).write_to_fp(ff)
39
40            # Continue with other language
41            language, sentence = word_language, word
42
43    if language and sentence:
44        # Append last detected sentence
45        gTTS(text=sentence, lang=lang_code_table.get(language, language), slow=False).write_to_fp(ff)
46

It's obviously not fast and won't fit for longer text.
Also it needs better tokenizer and proper error handling.
Again, it's just proof of concept.

Source https://stackoverflow.com/questions/70852444

QUESTION

Assigning True/False if a token is present in a data-frame

Asked 2022-Jan-06 at 12:38

My current data-frame is:

1     |articleID | keywords                                               | 
2     |:-------- |:------------------------------------------------------:| 
30    |58b61d1d  | ['Second Avenue (Manhattan, NY)']                      |     
41    |58b6393b  | ['Crossword Puzzles']                                  |          
52    |58b6556e  | ['Workplace Hazards and Violations', 'Trump, Donald J']|            
63    |58b657fa  | ['Trump, Donald J', 'Speeches and Statements'].        |  
7

I want a data-frame similar to the following, where a column is added based on whether a Trump token, 'Trump, Donald J' is mentioned in the keywords and if so then it is assigned True :

1     |articleID | keywords                                               | 
2     |:-------- |:------------------------------------------------------:| 
30    |58b61d1d  | ['Second Avenue (Manhattan, NY)']                      |     
41    |58b6393b  | ['Crossword Puzzles']                                  |          
52    |58b6556e  | ['Workplace Hazards and Violations', 'Trump, Donald J']|            
63    |58b657fa  | ['Trump, Donald J', 'Speeches and Statements'].        |  
7     |articleID | keywords                                               | trumpMention |
8     |:-------- |:------------------------------------------------------:| ------------:|
90    |58b61d1d  | ['Second Avenue (Manhattan, NY)']                      | False        |      
101    |58b6393b  | ['Crossword Puzzles']                                  | False        |          
112    |58b6556e  | ['Workplace Hazards and Violations', 'Trump, Donald J']| True         |           
123    |58b657fa  | ['Trump, Donald J', 'Speeches and Statements'].        | True         |       
13

I have tried multiple ways using df functions. But cannot achieve my wanted results. Some of the ways I've tried are:

1     |articleID | keywords                                               | 
2     |:-------- |:------------------------------------------------------:| 
30    |58b61d1d  | ['Second Avenue (Manhattan, NY)']                      |     
41    |58b6393b  | ['Crossword Puzzles']                                  |          
52    |58b6556e  | ['Workplace Hazards and Violations', 'Trump, Donald J']|            
63    |58b657fa  | ['Trump, Donald J', 'Speeches and Statements'].        |  
7     |articleID | keywords                                               | trumpMention |
8     |:-------- |:------------------------------------------------------:| ------------:|
90    |58b61d1d  | ['Second Avenue (Manhattan, NY)']                      | False        |      
101    |58b6393b  | ['Crossword Puzzles']                                  | False        |          
112    |58b6556e  | ['Workplace Hazards and Violations', 'Trump, Donald J']| True         |           
123    |58b657fa  | ['Trump, Donald J', 'Speeches and Statements'].        | True         |       
13df['trumpMention'] = np.where(any(df['keywords']) == 'Trump, Donald J', True, False) 
14

1     |articleID | keywords                                               | 
2     |:-------- |:------------------------------------------------------:| 
30    |58b61d1d  | ['Second Avenue (Manhattan, NY)']                      |     
41    |58b6393b  | ['Crossword Puzzles']                                  |          
52    |58b6556e  | ['Workplace Hazards and Violations', 'Trump, Donald J']|            
63    |58b657fa  | ['Trump, Donald J', 'Speeches and Statements'].        |  
7     |articleID | keywords                                               | trumpMention |
8     |:-------- |:------------------------------------------------------:| ------------:|
90    |58b61d1d  | ['Second Avenue (Manhattan, NY)']                      | False        |      
101    |58b6393b  | ['Crossword Puzzles']                                  | False        |          
112    |58b6556e  | ['Workplace Hazards and Violations', 'Trump, Donald J']| True         |           
123    |58b657fa  | ['Trump, Donald J', 'Speeches and Statements'].        | True         |       
13df['trumpMention'] = np.where(any(df['keywords']) == 'Trump, Donald J', True, False) 
14df['trumpMention'] = df['keywords'].apply(lambda x: any(token == 'Trump, Donald J') for token in x) 
15

1     |articleID | keywords                                               | 
2     |:-------- |:------------------------------------------------------:| 
30    |58b61d1d  | ['Second Avenue (Manhattan, NY)']                      |     
41    |58b6393b  | ['Crossword Puzzles']                                  |          
52    |58b6556e  | ['Workplace Hazards and Violations', 'Trump, Donald J']|            
63    |58b657fa  | ['Trump, Donald J', 'Speeches and Statements'].        |  
7     |articleID | keywords                                               | trumpMention |
8     |:-------- |:------------------------------------------------------:| ------------:|
90    |58b61d1d  | ['Second Avenue (Manhattan, NY)']                      | False        |      
101    |58b6393b  | ['Crossword Puzzles']                                  | False        |          
112    |58b6556e  | ['Workplace Hazards and Violations', 'Trump, Donald J']| True         |           
123    |58b657fa  | ['Trump, Donald J', 'Speeches and Statements'].        | True         |       
13df['trumpMention'] = np.where(any(df['keywords']) == 'Trump, Donald J', True, False) 
14df['trumpMention'] = df['keywords'].apply(lambda x: any(token == 'Trump, Donald J') for token in x) 
15lst = ['Trump, Donald J']  
16df['trumpMention'] = df['keywords'].apply(lambda x: ([ True for token in x if any(token in lst)]))   
17

Raw input:

1     |articleID | keywords                                               | 
2     |:-------- |:------------------------------------------------------:| 
30    |58b61d1d  | ['Second Avenue (Manhattan, NY)']                      |     
41    |58b6393b  | ['Crossword Puzzles']                                  |          
52    |58b6556e  | ['Workplace Hazards and Violations', 'Trump, Donald J']|            
63    |58b657fa  | ['Trump, Donald J', 'Speeches and Statements'].        |  
7     |articleID | keywords                                               | trumpMention |
8     |:-------- |:------------------------------------------------------:| ------------:|
90    |58b61d1d  | ['Second Avenue (Manhattan, NY)']                      | False        |      
101    |58b6393b  | ['Crossword Puzzles']                                  | False        |          
112    |58b6556e  | ['Workplace Hazards and Violations', 'Trump, Donald J']| True         |           
123    |58b657fa  | ['Trump, Donald J', 'Speeches and Statements'].        | True         |       
13df['trumpMention'] = np.where(any(df['keywords']) == 'Trump, Donald J', True, False) 
14df['trumpMention'] = df['keywords'].apply(lambda x: any(token == 'Trump, Donald J') for token in x) 
15lst = ['Trump, Donald J']  
16df['trumpMention'] = df['keywords'].apply(lambda x: ([ True for token in x if any(token in lst)]))   
17df = pd.DataFrame({'articleID': ['58b61d1d', '58b6393b', '58b6556e', '58b657fa'],
18                   'keywords': [['Second Avenue (Manhattan, NY)'],
19                                ['Crossword Puzzles'],
20                                ['Workplace Hazards and Violations', 'Trump, Donald J'],
21                                ['Trump, Donald J', 'Speeches and Statements']],
22                   'trumpMention': [False, False, True, True]})
23

ANSWER

Answered 2022-Jan-06 at 12:13

try

1     |articleID | keywords                                               | 
2     |:-------- |:------------------------------------------------------:| 
30    |58b61d1d  | ['Second Avenue (Manhattan, NY)']                      |     
41    |58b6393b  | ['Crossword Puzzles']                                  |          
52    |58b6556e  | ['Workplace Hazards and Violations', 'Trump, Donald J']|            
63    |58b657fa  | ['Trump, Donald J', 'Speeches and Statements'].        |  
7     |articleID | keywords                                               | trumpMention |
8     |:-------- |:------------------------------------------------------:| ------------:|
90    |58b61d1d  | ['Second Avenue (Manhattan, NY)']                      | False        |      
101    |58b6393b  | ['Crossword Puzzles']                                  | False        |          
112    |58b6556e  | ['Workplace Hazards and Violations', 'Trump, Donald J']| True         |           
123    |58b657fa  | ['Trump, Donald J', 'Speeches and Statements'].        | True         |       
13df['trumpMention'] = np.where(any(df['keywords']) == 'Trump, Donald J', True, False) 
14df['trumpMention'] = df['keywords'].apply(lambda x: any(token == 'Trump, Donald J') for token in x) 
15lst = ['Trump, Donald J']  
16df['trumpMention'] = df['keywords'].apply(lambda x: ([ True for token in x if any(token in lst)]))   
17df = pd.DataFrame({'articleID': ['58b61d1d', '58b6393b', '58b6556e', '58b657fa'],
18                   'keywords': [['Second Avenue (Manhattan, NY)'],
19                                ['Crossword Puzzles'],
20                                ['Workplace Hazards and Violations', 'Trump, Donald J'],
21                                ['Trump, Donald J', 'Speeches and Statements']],
22                   'trumpMention': [False, False, True, True]})
23df[&quot;trumpMention&quot;] = df[&quot;keywords&quot;].apply(lambda x: &quot;Trump, Donald J&quot; in x)
24

Source https://stackoverflow.com/questions/70606847

QUESTION

speechSynthesis.getVoices (Web Speech API) doesn't show some of the locally installed voices

Asked 2021-Dec-31 at 08:19

I'm trying to use Web Speech API to read text on my web page. But I found that some of the SAPI5 voices installed in my Windows 10 would not show up in the output of speechSynthesis.getVoices(), including the Microsoft Eva Mobile on Windows 10 "unlock"ed by importing a registry file. These voices could work fine in local TTS programs like Balabolka but they just don't show in the browser. Are there any specific rules by which the browser chooses whether to list the voices or not?

ANSWER

Answered 2021-Dec-31 at 08:19

OK, I found out what was wrong. I was using Microsoft Edge and it seems that Edge only shows some of Microsoft voices. If I use Firefox, the other installed voices will also show up. So it was Edge's fault.

Source https://stackoverflow.com/questions/70490870

QUESTION

Combining Object Detection with Text to Speech Code

Asked 2021-Dec-28 at 16:46

I am trying to write an object detection + text-to-speech code to detect objects and produce a voice output on the raspberry pi 4. However, as of right now, I am trying to write a simple python script that incorporates both elements into a single .py file and preferably as a function. I will then run this script on the raspberry pi. I want to give credit to Murtaza's Workshop "Object Detection OpenCV Python | Easy and Fast (2020)" and https://pypi.org/project/pyttsx3/ for the Text to speech documentation for pyttsx3. I have attached the code below. I have tried running the program and I always keep getting errors with the Text to speech code (commented lines 33-36 for reference). I believe it is some looping error but I just can't seem to get the program to run continuously. For instance, if I run the code without the TTS part, it works fine. Otherwise, it runs for perhaps 3-5 seconds and suddenly stops. I am a beginner but highly passionate in computer vision, and any help is appreciated!

1import cv2
2#import pyttsx3
3
4cap = cv2.VideoCapture(0)
5cap.set(3, 640)
6cap.set(4, 480)
7
8classNames = []
9classFile = 'coco.names'
10with open(classFile,'rt') as f:
11    classNames = [line.rstrip() for line in f]
12
13configPath = 'ssd_mobilenet_v3_large_coco_2020_01_14.pbtxt'
14weightsPath = 'frozen_inference_graph.pb'
15
16net = cv2.dnn_DetectionModel(weightsPath, configPath)
17net.setInputSize(320, 320)
18net.setInputScale(1.0 / 127.5)
19net.setInputMean((127.5, 127.5, 127.5))
20net.setInputSwapRB(True)
21
22while True:
23    success, img = cap.read()
24    classIds, confs, bbox = net.detect(img, confThreshold=0.45)
25    if len(classIds) != 0:
26        for classId, confidence, box in zip(classIds.flatten(), confs.flatten(), bbox):
27            className = classNames[classId-1]
28            #engine = pyttsx3.init()
29            #str1 = str(className)
30            #engine.say(str1 + &quot;detected&quot;)
31            #engine.runAndWait()
32            cv2.rectangle(img, box, color=(0, 255, 0), thickness=2)
33            cv2.putText(img, classNames[classId-1].upper(), (box[0]+10, box[1]+30),
34                cv2.FONT_HERSHEY_COMPLEX, 1, (0, 255, 0), 2)
35            cv2.putText(img, str(round(confidence * 100, 2)), (box[0]+200, box[1]+30),
36                cv2.FONT_HERSHEY_COMPLEX, 1, (0, 255, 0), 2)
37    cv2.imshow('Output', img)
38    cv2.waitKey(1)
39

Here is a screenshot of my code 1

Here is a link to the download files needed to run code as well in case

Here is the error: /Users/venuchannarayappa/PycharmProjects/ObjectDetector/venv/bin/python /Users/venuchannarayappa/PycharmProjects/ObjectDetector/main.py

Traceback (most recent call last): File "/Users/venuchannarayappa/PycharmProjects/ObjectDetector/main.py", line 24, in

classIds, confs, bbox = net.detect(img, confThreshold=0.45)

cv2.error: OpenCV(4.5.4) /Users/runner/work/opencv-python/opencv-python/opencv/modules/imgproc/src/resize.cpp:4051: error: (-215:Assertion failed) !ssize.empty() in function 'resize'

Process finished with exit code 1

Link to video output recorded through iphone: https://www.icloud.com/iclouddrive/03jGfqy7-A9DKfekcu3wjk0rA#IMG_4932

Sorry for such a long post! I was debugging my code for the past few hours and I think I got it to work. I changed the main while loop only and rest of code is the same. The program seems to run continuously for me. I would appreciate any comments if there are any difficulties in running it.

1import cv2
2#import pyttsx3
3
4cap = cv2.VideoCapture(0)
5cap.set(3, 640)
6cap.set(4, 480)
7
8classNames = []
9classFile = 'coco.names'
10with open(classFile,'rt') as f:
11    classNames = [line.rstrip() for line in f]
12
13configPath = 'ssd_mobilenet_v3_large_coco_2020_01_14.pbtxt'
14weightsPath = 'frozen_inference_graph.pb'
15
16net = cv2.dnn_DetectionModel(weightsPath, configPath)
17net.setInputSize(320, 320)
18net.setInputScale(1.0 / 127.5)
19net.setInputMean((127.5, 127.5, 127.5))
20net.setInputSwapRB(True)
21
22while True:
23    success, img = cap.read()
24    classIds, confs, bbox = net.detect(img, confThreshold=0.45)
25    if len(classIds) != 0:
26        for classId, confidence, box in zip(classIds.flatten(), confs.flatten(), bbox):
27            className = classNames[classId-1]
28            #engine = pyttsx3.init()
29            #str1 = str(className)
30            #engine.say(str1 + &quot;detected&quot;)
31            #engine.runAndWait()
32            cv2.rectangle(img, box, color=(0, 255, 0), thickness=2)
33            cv2.putText(img, classNames[classId-1].upper(), (box[0]+10, box[1]+30),
34                cv2.FONT_HERSHEY_COMPLEX, 1, (0, 255, 0), 2)
35            cv2.putText(img, str(round(confidence * 100, 2)), (box[0]+200, box[1]+30),
36                cv2.FONT_HERSHEY_COMPLEX, 1, (0, 255, 0), 2)
37    cv2.imshow('Output', img)
38    cv2.waitKey(1)
39engine = pyttsx3.init()
40while True:
41    success, img = cap.read()
42    #print(success)
43    #print(img)
44    #print(img.shape)
45    classIds, confs, bbox = net.detect(img, confThreshold=0.45)
46    if len(classIds) != 0:
47        for classId, confidence, box in zip(classIds.flatten(), confs.flatten(), bbox):
48            className = classNames[classId - 1]
49            #print(len(classIds))
50            str1 = str(className)
51            #print(str1)
52            engine.say(str1 + &quot;detected&quot;)
53            engine.runAndWait()
54            cv2.rectangle(img, box, color=(0, 255, 0), thickness=2)
55            cv2.putText(img, classNames[classId-1].upper(), (box[0]+10, box[1]+30),
56                cv2.FONT_HERSHEY_COMPLEX, 1, (0, 255, 0), 2)
57            cv2.putText(img, str(round(confidence * 100, 2)), (box[0]+200, box[1]+30),
58                cv2.FONT_HERSHEY_COMPLEX, 1, (0, 255, 0), 2)
59        continue
60    cv2.imshow('Output', img)
61    cv2.waitKey(1)
62

I am planning to run this code on the raspberry pi. I am planning on installing opencv using this command: pip3 install opencv-python. However, I am not sure how to install pyttsx3 since I think I need to install from source. Please let me know if there is a simple method to install pyttsx3.

Update: As of December 27th, I have installed all necessary packages and my code is now functional.

ANSWER

Answered 2021-Dec-28 at 16:46

I installed pyttsx3 using the two commands in the terminal on the Raspberry Pi:

sudo apt update && sudo apt install espeak ffmpeg libespeak1
pip install pyttsx3

I followed the video youtube.com/watch?v=AWhDDl-7Iis&ab_channel=AiPhile to install pyttsx3. My functional code should also be listed above. My question should be resolved but hopefully useful to anyone looking to write a similar program. I have made minor tweaks to my code.

Source https://stackoverflow.com/questions/70129247

QUESTION

Yielding values from consecutive parallel parse functions via meta in Scrapy

Asked 2021-Dec-20 at 07:53

In my scrapy code I'm trying to yield the following figures from parliament's website where all the members of parliament (MPs) are listed. Opening the links for each MP, I'm making parallel requests to get the figures I'm trying to count. I'm intending to yield each three figures below in the company of the name and the party of the MP

Here are the figures I'm trying to scrape

How many bill proposals that each MP has their signature on
How many question proposals that each MP has their signature on
How many times that each MP spoke on the parliament

In order to count and yield out how many bills has each member of parliament has their signature on, I'm trying to write a scraper on the members of parliament which works with 3 layers:

Starting with the link where all MPs are listed
From (1) accessing the individual page of each MP where the three information defined above is displayed
3a) Requesting the page with bill proposals and counting the number of them by len function 3b) Requesting the page with question proposals and counting the number of them by len function 3c) Requesting the page with speeches and counting the number of them by len function

What I want: I want to yield the inquiries of 3a,3b,3c with the name and the party of the MP in the same raw

Problem 1) When I get an output to csv it only creates fields of speech count, name, part. It doesn't show me the fields of bill proposals and question proposals
Problem 2) There are two empty values for each MP, which I guess corresponds to the values I described above at Problem1
Problem 3) What is the better way of restructuring my code to output the three values in the same line, rather than printing each MP three times for each value that I'm scraping

1from scrapy import Spider
2from scrapy.http import Request
3
4import logging
5
6
7class MvSpider(Spider):
8    name = 'mv2'
9    allowed_domains = ['tbmm.gov.tr']
10    start_urls = ['https://www.tbmm.gov.tr/Milletvekilleri/liste']
11
12    def parse(self, response):
13        mv_list =  mv_list = response.xpath(&quot;//ul[@class='list-group list-group-flush']&quot;) #taking all MPs listed
14
15        for mv in mv_list:
16            name = mv.xpath(&quot;./li/div/div/a/text()&quot;).get() # MP's name taken
17            party = mv.xpath(&quot;./li/div/div[@class='col-md-4 text-right']/text()&quot;).get().strip() #MP's party name taken
18            partial_link = mv.xpath('.//div[@class=&quot;col-md-8&quot;]/a/@href').get()
19            full_link = response.urljoin(partial_link)
20
21            yield Request(full_link, callback = self.mv_analysis, meta = {
22                                                                            'name': name,
23                                                                            'party': party
24                                                                        })
25
26
27    def mv_analysis(self, response):
28        name = response.meta.get('name')
29        party = response.meta.get('party')
30
31        billprop_link_path = response.xpath(&quot;.//a[contains(text(),'İmzası Bulunan Kanun Teklifleri')]/@href&quot;).get()
32        billprop_link = response.urljoin(billprop_link_path)
33
34        questionprop_link_path = response.xpath(&quot;.//a[contains(text(),'Sahibi Olduğu Yazılı Soru Önergeleri')]/@href&quot;).get()
35        questionprop_link = response.urljoin(questionprop_link_path)
36
37        speech_link_path = response.xpath(&quot;.//a[contains(text(),'Genel Kurul Konuşmaları')]/@href&quot;).get()
38        speech_link = response.urljoin(speech_link_path)
39
40        yield Request(billprop_link, callback = self.bill_prop_counter, meta = {
41                                                                            'name': name,
42                                                                            'party': party
43                                                                        })  #number of bill proposals to be requested
44
45        yield Request(questionprop_link, callback = self.quest_prop_counter, meta = {
46                                                                            'name': name,
47                                                                            'party': party
48                                                                        }) #number of question propoesals to be requested
49
50
51        yield Request(speech_link, callback = self.speech_counter, meta = {
52                                                                            'name': name,
53                                                                            'party': party
54                                                                        })  #number of speeches to be requested
55
56
57
58
59# COUNTING FUNCTIONS
60
61
62    def bill_prop_counter(self,response):
63
64        name = response.meta.get('name')
65        party = response.meta.get('party')
66
67        billproposals = response.xpath(&quot;//tr[@valign='TOP']&quot;)
68
69        yield  { 'bill_prop_count': len(billproposals),
70                'name': name,
71                'party': party}
72
73    def quest_prop_counter(self, response):
74
75        name = response.meta.get('name')
76        party = response.meta.get('party')
77
78        researchproposals = response.xpath(&quot;//tr[@valign='TOP']&quot;)
79
80        yield {'res_prop_count': len(researchproposals),
81               'name': name,
82               'party': party}
83
84    def speech_counter(self, response):
85
86        name = response.meta.get('name')
87        party = response.meta.get('party')
88
89        speeches = response.xpath(&quot;//tr[@valign='TOP']&quot;)
90
91        yield { 'speech_count' : len(speeches),
92               'name': name,
93               'party': party}
94

ANSWER

Answered 2021-Dec-18 at 06:26

This is happening because you are yielding dicts instead of item objects, so spider engine will not have a guide of fields you want to have as default.

In order to make the csv output fields bill_prop_count and res_prop_count, you should make the following changes in your code:

1 - Create a base item object with all desirable fields - you can create this in the items.py file of your scrapy project:

1from scrapy import Spider
2from scrapy.http import Request
3
4import logging
5
6
7class MvSpider(Spider):
8    name = 'mv2'
9    allowed_domains = ['tbmm.gov.tr']
10    start_urls = ['https://www.tbmm.gov.tr/Milletvekilleri/liste']
11
12    def parse(self, response):
13        mv_list =  mv_list = response.xpath(&quot;//ul[@class='list-group list-group-flush']&quot;) #taking all MPs listed
14
15        for mv in mv_list:
16            name = mv.xpath(&quot;./li/div/div/a/text()&quot;).get() # MP's name taken
17            party = mv.xpath(&quot;./li/div/div[@class='col-md-4 text-right']/text()&quot;).get().strip() #MP's party name taken
18            partial_link = mv.xpath('.//div[@class=&quot;col-md-8&quot;]/a/@href').get()
19            full_link = response.urljoin(partial_link)
20
21            yield Request(full_link, callback = self.mv_analysis, meta = {
22                                                                            'name': name,
23                                                                            'party': party
24                                                                        })
25
26
27    def mv_analysis(self, response):
28        name = response.meta.get('name')
29        party = response.meta.get('party')
30
31        billprop_link_path = response.xpath(&quot;.//a[contains(text(),'İmzası Bulunan Kanun Teklifleri')]/@href&quot;).get()
32        billprop_link = response.urljoin(billprop_link_path)
33
34        questionprop_link_path = response.xpath(&quot;.//a[contains(text(),'Sahibi Olduğu Yazılı Soru Önergeleri')]/@href&quot;).get()
35        questionprop_link = response.urljoin(questionprop_link_path)
36
37        speech_link_path = response.xpath(&quot;.//a[contains(text(),'Genel Kurul Konuşmaları')]/@href&quot;).get()
38        speech_link = response.urljoin(speech_link_path)
39
40        yield Request(billprop_link, callback = self.bill_prop_counter, meta = {
41                                                                            'name': name,
42                                                                            'party': party
43                                                                        })  #number of bill proposals to be requested
44
45        yield Request(questionprop_link, callback = self.quest_prop_counter, meta = {
46                                                                            'name': name,
47                                                                            'party': party
48                                                                        }) #number of question propoesals to be requested
49
50
51        yield Request(speech_link, callback = self.speech_counter, meta = {
52                                                                            'name': name,
53                                                                            'party': party
54                                                                        })  #number of speeches to be requested
55
56
57
58
59# COUNTING FUNCTIONS
60
61
62    def bill_prop_counter(self,response):
63
64        name = response.meta.get('name')
65        party = response.meta.get('party')
66
67        billproposals = response.xpath(&quot;//tr[@valign='TOP']&quot;)
68
69        yield  { 'bill_prop_count': len(billproposals),
70                'name': name,
71                'party': party}
72
73    def quest_prop_counter(self, response):
74
75        name = response.meta.get('name')
76        party = response.meta.get('party')
77
78        researchproposals = response.xpath(&quot;//tr[@valign='TOP']&quot;)
79
80        yield {'res_prop_count': len(researchproposals),
81               'name': name,
82               'party': party}
83
84    def speech_counter(self, response):
85
86        name = response.meta.get('name')
87        party = response.meta.get('party')
88
89        speeches = response.xpath(&quot;//tr[@valign='TOP']&quot;)
90
91        yield { 'speech_count' : len(speeches),
92               'name': name,
93               'party': party}
94from scrapy import Item, Field
95
96
97class MvItem(Item):
98    name = Field()
99    party = Field()
100    bill_prop_count = Field()
101    res_prop_count = Field()
102    speech_count = Field()
103

2 - Import the item object created to the spider code & yield items populated with the dict, instead of single dicts:

1from scrapy import Spider
2from scrapy.http import Request
3
4import logging
5
6
7class MvSpider(Spider):
8    name = 'mv2'
9    allowed_domains = ['tbmm.gov.tr']
10    start_urls = ['https://www.tbmm.gov.tr/Milletvekilleri/liste']
11
12    def parse(self, response):
13        mv_list =  mv_list = response.xpath(&quot;//ul[@class='list-group list-group-flush']&quot;) #taking all MPs listed
14
15        for mv in mv_list:
16            name = mv.xpath(&quot;./li/div/div/a/text()&quot;).get() # MP's name taken
17            party = mv.xpath(&quot;./li/div/div[@class='col-md-4 text-right']/text()&quot;).get().strip() #MP's party name taken
18            partial_link = mv.xpath('.//div[@class=&quot;col-md-8&quot;]/a/@href').get()
19            full_link = response.urljoin(partial_link)
20
21            yield Request(full_link, callback = self.mv_analysis, meta = {
22                                                                            'name': name,
23                                                                            'party': party
24                                                                        })
25
26
27    def mv_analysis(self, response):
28        name = response.meta.get('name')
29        party = response.meta.get('party')
30
31        billprop_link_path = response.xpath(&quot;.//a[contains(text(),'İmzası Bulunan Kanun Teklifleri')]/@href&quot;).get()
32        billprop_link = response.urljoin(billprop_link_path)
33
34        questionprop_link_path = response.xpath(&quot;.//a[contains(text(),'Sahibi Olduğu Yazılı Soru Önergeleri')]/@href&quot;).get()
35        questionprop_link = response.urljoin(questionprop_link_path)
36
37        speech_link_path = response.xpath(&quot;.//a[contains(text(),'Genel Kurul Konuşmaları')]/@href&quot;).get()
38        speech_link = response.urljoin(speech_link_path)
39
40        yield Request(billprop_link, callback = self.bill_prop_counter, meta = {
41                                                                            'name': name,
42                                                                            'party': party
43                                                                        })  #number of bill proposals to be requested
44
45        yield Request(questionprop_link, callback = self.quest_prop_counter, meta = {
46                                                                            'name': name,
47                                                                            'party': party
48                                                                        }) #number of question propoesals to be requested
49
50
51        yield Request(speech_link, callback = self.speech_counter, meta = {
52                                                                            'name': name,
53                                                                            'party': party
54                                                                        })  #number of speeches to be requested
55
56
57
58
59# COUNTING FUNCTIONS
60
61
62    def bill_prop_counter(self,response):
63
64        name = response.meta.get('name')
65        party = response.meta.get('party')
66
67        billproposals = response.xpath(&quot;//tr[@valign='TOP']&quot;)
68
69        yield  { 'bill_prop_count': len(billproposals),
70                'name': name,
71                'party': party}
72
73    def quest_prop_counter(self, response):
74
75        name = response.meta.get('name')
76        party = response.meta.get('party')
77
78        researchproposals = response.xpath(&quot;//tr[@valign='TOP']&quot;)
79
80        yield {'res_prop_count': len(researchproposals),
81               'name': name,
82               'party': party}
83
84    def speech_counter(self, response):
85
86        name = response.meta.get('name')
87        party = response.meta.get('party')
88
89        speeches = response.xpath(&quot;//tr[@valign='TOP']&quot;)
90
91        yield { 'speech_count' : len(speeches),
92               'name': name,
93               'party': party}
94from scrapy import Item, Field
95
96
97class MvItem(Item):
98    name = Field()
99    party = Field()
100    bill_prop_count = Field()
101    res_prop_count = Field()
102    speech_count = Field()
103from your_project.items import MvItem
104
105...
106
107# COUNTING FUNCTIONS
108def bill_prop_counter(self,response):
109    name = response.meta.get('name')
110    party = response.meta.get('party')
111
112    billproposals = response.xpath(&quot;//tr[@valign='TOP']&quot;)
113
114    yield MvItem(**{ 'bill_prop_count': len(billproposals),
115            'name': name,
116            'party': party})
117
118def quest_prop_counter(self, response):
119    name = response.meta.get('name')
120    party = response.meta.get('party')
121
122    researchproposals = response.xpath(&quot;//tr[@valign='TOP']&quot;)
123
124    yield MvItem(**{'res_prop_count': len(researchproposals),
125           'name': name,
126           'party': party})
127
128def speech_counter(self, response):
129    name = response.meta.get('name')
130    party = response.meta.get('party')
131
132    speeches = response.xpath(&quot;//tr[@valign='TOP']&quot;)
133
134    yield MvItem(**{ 'speech_count' : len(speeches),
135           'name': name,
136           'party': party})
137

The output csv will have all possible columns for the item:

1from scrapy import Spider
2from scrapy.http import Request
3
4import logging
5
6
7class MvSpider(Spider):
8    name = 'mv2'
9    allowed_domains = ['tbmm.gov.tr']
10    start_urls = ['https://www.tbmm.gov.tr/Milletvekilleri/liste']
11
12    def parse(self, response):
13        mv_list =  mv_list = response.xpath(&quot;//ul[@class='list-group list-group-flush']&quot;) #taking all MPs listed
14
15        for mv in mv_list:
16            name = mv.xpath(&quot;./li/div/div/a/text()&quot;).get() # MP's name taken
17            party = mv.xpath(&quot;./li/div/div[@class='col-md-4 text-right']/text()&quot;).get().strip() #MP's party name taken
18            partial_link = mv.xpath('.//div[@class=&quot;col-md-8&quot;]/a/@href').get()
19            full_link = response.urljoin(partial_link)
20
21            yield Request(full_link, callback = self.mv_analysis, meta = {
22                                                                            'name': name,
23                                                                            'party': party
24                                                                        })
25
26
27    def mv_analysis(self, response):
28        name = response.meta.get('name')
29        party = response.meta.get('party')
30
31        billprop_link_path = response.xpath(&quot;.//a[contains(text(),'İmzası Bulunan Kanun Teklifleri')]/@href&quot;).get()
32        billprop_link = response.urljoin(billprop_link_path)
33
34        questionprop_link_path = response.xpath(&quot;.//a[contains(text(),'Sahibi Olduğu Yazılı Soru Önergeleri')]/@href&quot;).get()
35        questionprop_link = response.urljoin(questionprop_link_path)
36
37        speech_link_path = response.xpath(&quot;.//a[contains(text(),'Genel Kurul Konuşmaları')]/@href&quot;).get()
38        speech_link = response.urljoin(speech_link_path)
39
40        yield Request(billprop_link, callback = self.bill_prop_counter, meta = {
41                                                                            'name': name,
42                                                                            'party': party
43                                                                        })  #number of bill proposals to be requested
44
45        yield Request(questionprop_link, callback = self.quest_prop_counter, meta = {
46                                                                            'name': name,
47                                                                            'party': party
48                                                                        }) #number of question propoesals to be requested
49
50
51        yield Request(speech_link, callback = self.speech_counter, meta = {
52                                                                            'name': name,
53                                                                            'party': party
54                                                                        })  #number of speeches to be requested
55
56
57
58
59# COUNTING FUNCTIONS
60
61
62    def bill_prop_counter(self,response):
63
64        name = response.meta.get('name')
65        party = response.meta.get('party')
66
67        billproposals = response.xpath(&quot;//tr[@valign='TOP']&quot;)
68
69        yield  { 'bill_prop_count': len(billproposals),
70                'name': name,
71                'party': party}
72
73    def quest_prop_counter(self, response):
74
75        name = response.meta.get('name')
76        party = response.meta.get('party')
77
78        researchproposals = response.xpath(&quot;//tr[@valign='TOP']&quot;)
79
80        yield {'res_prop_count': len(researchproposals),
81               'name': name,
82               'party': party}
83
84    def speech_counter(self, response):
85
86        name = response.meta.get('name')
87        party = response.meta.get('party')
88
89        speeches = response.xpath(&quot;//tr[@valign='TOP']&quot;)
90
91        yield { 'speech_count' : len(speeches),
92               'name': name,
93               'party': party}
94from scrapy import Item, Field
95
96
97class MvItem(Item):
98    name = Field()
99    party = Field()
100    bill_prop_count = Field()
101    res_prop_count = Field()
102    speech_count = Field()
103from your_project.items import MvItem
104
105...
106
107# COUNTING FUNCTIONS
108def bill_prop_counter(self,response):
109    name = response.meta.get('name')
110    party = response.meta.get('party')
111
112    billproposals = response.xpath(&quot;//tr[@valign='TOP']&quot;)
113
114    yield MvItem(**{ 'bill_prop_count': len(billproposals),
115            'name': name,
116            'party': party})
117
118def quest_prop_counter(self, response):
119    name = response.meta.get('name')
120    party = response.meta.get('party')
121
122    researchproposals = response.xpath(&quot;//tr[@valign='TOP']&quot;)
123
124    yield MvItem(**{'res_prop_count': len(researchproposals),
125           'name': name,
126           'party': party})
127
128def speech_counter(self, response):
129    name = response.meta.get('name')
130    party = response.meta.get('party')
131
132    speeches = response.xpath(&quot;//tr[@valign='TOP']&quot;)
133
134    yield MvItem(**{ 'speech_count' : len(speeches),
135           'name': name,
136           'party': party})
137bill_prop_count,name,party,res_prop_count,speech_count
138,Abdullah DOĞRU,AK Parti,,11
139,Mehmet Şükrü ERDİNÇ,AK Parti,,3
140,Muharrem VARLI,MHP,,13
141,Muharrem VARLI,MHP,0,
142,Jülide SARIEROĞLU,AK Parti,,3
143,İbrahim Halil FIRAT,AK Parti,,7
14420,Burhanettin BULUT,CHP,,
145,Ünal DEMİRTAŞ,CHP,,22
146...
147

Now if you want to have all the three counts in the same row, you'll have to change the design of your spider. Possibly one counting function at the time passing the item in the meta attribute.

Source https://stackoverflow.com/questions/70399191

QUESTION

Rails. Puma stops working when instantiating a client of Google Cloud Text-to-Speech (Windows)

Asked 2021-Dec-15 at 22:07

I've upgraded my Ruby version from 2.5.x to 2.6.x (and uninstalled the 2.5.x version). And now Puma server stops working when instantiating a client of Google Cloud Text-to-Speech:

1client = Google::Cloud::TextToSpeech.text_to_speech
2

It just exits without giving an error (in Command Prompt). And there is a 'Segmentation fault' message in the 'bash' terminal.

Puma config-file:

1client = Google::Cloud::TextToSpeech.text_to_speech
2max_threads_count = ENV.fetch(&quot;RAILS_MAX_THREADS&quot;) { 5 }
3min_threads_count = ENV.fetch(&quot;RAILS_MIN_THREADS&quot;) { max_threads_count }
4threads min_threads_count, max_threads_count
5port        ENV.fetch(&quot;PORT&quot;) { 3000 }
6environment ENV.fetch(&quot;RAILS_ENV&quot;) { ENV['RACK_ENV'] || &quot;development&quot; }
7pidfile ENV.fetch(&quot;PIDFILE&quot;) { &quot;tmp/pids/server.pid&quot; }
8# workers ENV.fetch(&quot;WEB_CONCURRENCY&quot;) { 2 }
9preload_app!
10plugin :tmp_restart
11

The method that works with Google Cloud Text-to-Speech:

1client = Google::Cloud::TextToSpeech.text_to_speech
2max_threads_count = ENV.fetch(&quot;RAILS_MAX_THREADS&quot;) { 5 }
3min_threads_count = ENV.fetch(&quot;RAILS_MIN_THREADS&quot;) { max_threads_count }
4threads min_threads_count, max_threads_count
5port        ENV.fetch(&quot;PORT&quot;) { 3000 }
6environment ENV.fetch(&quot;RAILS_ENV&quot;) { ENV['RACK_ENV'] || &quot;development&quot; }
7pidfile ENV.fetch(&quot;PIDFILE&quot;) { &quot;tmp/pids/server.pid&quot; }
8# workers ENV.fetch(&quot;WEB_CONCURRENCY&quot;) { 2 }
9preload_app!
10plugin :tmp_restart
11require &quot;google/cloud/text_to_speech&quot;
12
13# Instantiates a client
14client = Google::Cloud::TextToSpeech.text_to_speech
15  
16...
17

Gemfile:

1client = Google::Cloud::TextToSpeech.text_to_speech
2max_threads_count = ENV.fetch(&quot;RAILS_MAX_THREADS&quot;) { 5 }
3min_threads_count = ENV.fetch(&quot;RAILS_MIN_THREADS&quot;) { max_threads_count }
4threads min_threads_count, max_threads_count
5port        ENV.fetch(&quot;PORT&quot;) { 3000 }
6environment ENV.fetch(&quot;RAILS_ENV&quot;) { ENV['RACK_ENV'] || &quot;development&quot; }
7pidfile ENV.fetch(&quot;PIDFILE&quot;) { &quot;tmp/pids/server.pid&quot; }
8# workers ENV.fetch(&quot;WEB_CONCURRENCY&quot;) { 2 }
9preload_app!
10plugin :tmp_restart
11require &quot;google/cloud/text_to_speech&quot;
12
13# Instantiates a client
14client = Google::Cloud::TextToSpeech.text_to_speech
15  
16...
17gem 'rails',                       '6.0.1'
18gem 'puma',                        '3.12.2'
19gem 'google-cloud-text_to_speech', '1.1.1'
20...
21

OS Windows 10.

I'm confused. I don't understand why it happens and how to fix it. I've tried to use the last gem-versions for 'puma' and 'google-cloud-text_to_speech', reinstalled the Google SDK, but it continues happening.

Maybe something's wrong with my credentials? I get the nil value when running the configure method (before instantiating the client):

1client = Google::Cloud::TextToSpeech.text_to_speech
2max_threads_count = ENV.fetch(&quot;RAILS_MAX_THREADS&quot;) { 5 }
3min_threads_count = ENV.fetch(&quot;RAILS_MIN_THREADS&quot;) { max_threads_count }
4threads min_threads_count, max_threads_count
5port        ENV.fetch(&quot;PORT&quot;) { 3000 }
6environment ENV.fetch(&quot;RAILS_ENV&quot;) { ENV['RACK_ENV'] || &quot;development&quot; }
7pidfile ENV.fetch(&quot;PIDFILE&quot;) { &quot;tmp/pids/server.pid&quot; }
8# workers ENV.fetch(&quot;WEB_CONCURRENCY&quot;) { 2 }
9preload_app!
10plugin :tmp_restart
11require &quot;google/cloud/text_to_speech&quot;
12
13# Instantiates a client
14client = Google::Cloud::TextToSpeech.text_to_speech
15  
16...
17gem 'rails',                       '6.0.1'
18gem 'puma',                        '3.12.2'
19gem 'google-cloud-text_to_speech', '1.1.1'
20...
21(byebug) Google::Cloud::TextToSpeech.configure
22&lt;Config: endpoint=&quot;texttospeech.googleapis.com&quot; credentials=nil scope=nil lib_name=nil lib_version=nil interceptors=nil timeout=nil metadata=nil retry_policy=nil quota_project=nil&gt;
23

Can somebody please help me?

ANSWER

Answered 2021-Dec-07 at 08:52

Try reinstalling ruby-debug

1client = Google::Cloud::TextToSpeech.text_to_speech
2max_threads_count = ENV.fetch(&quot;RAILS_MAX_THREADS&quot;) { 5 }
3min_threads_count = ENV.fetch(&quot;RAILS_MIN_THREADS&quot;) { max_threads_count }
4threads min_threads_count, max_threads_count
5port        ENV.fetch(&quot;PORT&quot;) { 3000 }
6environment ENV.fetch(&quot;RAILS_ENV&quot;) { ENV['RACK_ENV'] || &quot;development&quot; }
7pidfile ENV.fetch(&quot;PIDFILE&quot;) { &quot;tmp/pids/server.pid&quot; }
8# workers ENV.fetch(&quot;WEB_CONCURRENCY&quot;) { 2 }
9preload_app!
10plugin :tmp_restart
11require &quot;google/cloud/text_to_speech&quot;
12
13# Instantiates a client
14client = Google::Cloud::TextToSpeech.text_to_speech
15  
16...
17gem 'rails',                       '6.0.1'
18gem 'puma',                        '3.12.2'
19gem 'google-cloud-text_to_speech', '1.1.1'
20...
21(byebug) Google::Cloud::TextToSpeech.configure
22&lt;Config: endpoint=&quot;texttospeech.googleapis.com&quot; credentials=nil scope=nil lib_name=nil lib_version=nil interceptors=nil timeout=nil metadata=nil retry_policy=nil quota_project=nil&gt;
23sudo gem uninstall ruby-debug
24sudo gem install ruby-debug
25

And, can you expand your question with including your Gemfile, and Gemfile.lock

Another aproach may be deleting Gemfile.lock then running bundle install

1client = Google::Cloud::TextToSpeech.text_to_speech
2max_threads_count = ENV.fetch(&quot;RAILS_MAX_THREADS&quot;) { 5 }
3min_threads_count = ENV.fetch(&quot;RAILS_MIN_THREADS&quot;) { max_threads_count }
4threads min_threads_count, max_threads_count
5port        ENV.fetch(&quot;PORT&quot;) { 3000 }
6environment ENV.fetch(&quot;RAILS_ENV&quot;) { ENV['RACK_ENV'] || &quot;development&quot; }
7pidfile ENV.fetch(&quot;PIDFILE&quot;) { &quot;tmp/pids/server.pid&quot; }
8# workers ENV.fetch(&quot;WEB_CONCURRENCY&quot;) { 2 }
9preload_app!
10plugin :tmp_restart
11require &quot;google/cloud/text_to_speech&quot;
12
13# Instantiates a client
14client = Google::Cloud::TextToSpeech.text_to_speech
15  
16...
17gem 'rails',                       '6.0.1'
18gem 'puma',                        '3.12.2'
19gem 'google-cloud-text_to_speech', '1.1.1'
20...
21(byebug) Google::Cloud::TextToSpeech.configure
22&lt;Config: endpoint=&quot;texttospeech.googleapis.com&quot; credentials=nil scope=nil lib_name=nil lib_version=nil interceptors=nil timeout=nil metadata=nil retry_policy=nil quota_project=nil&gt;
23sudo gem uninstall ruby-debug
24sudo gem install ruby-debug
25rm -rf Gemfile.lock
26bundle install
27

Source https://stackoverflow.com/questions/70173479

QUESTION

R - Regular Expression to Extract Text Between Parentheses That Contain Keyword

Asked 2021-Nov-13 at 22:41

I need to extract the text from between parentheses if a keyword is inside the parentheses.

So if I have a string that looks like this:

('one', 'CARDINAL'), ('Castro', 'PERSON'), ('Latin America', 'LOC'), ('Somoza', 'PERSON')

And my keyword is "LOC", I just want to extract ('Latin America', 'LOC'), not the others.

Help is appreciated!!

This is a sample of my data set, a csv file:

1,speech_id,sentence,date,speaker,file,parsed_text,named_entities
20,950094636,Let me state that the one sure way we can make it easy for Castro to continue to gain converts in Latin America is if we continue to support regimes of the ilk of the Somoza family,19770623,Mr. OBEY,06231977.txt,Let me state that the one sure way we can make it easy for Castro to continue to gain converts in Latin America is if we continue to support regimes of the ilk of the Somoza family,&quot;[('one', 'CARDINAL'), ('Castro', 'PERSON'), ('Latin America', 'LOC'), ('Somoza', 'PERSON')]&quot;
31,950094636,That is how we encourage the growth of communism,19770623,Mr. OBEY,06231977.txt,That is how we encourage the growth of communism,[]
42,950094636,That is how we discourage the growth of democracy in Latin America,19770623,Mr. OBEY,06231977.txt,That is how we discourage the growth of democracy in Latin America,&quot;[('Latin America', 'LOC')]&quot;
53,950094636,Mr Chairman,19770623,Mr. OBEY,06231977.txt,Mr Chairman,[]
64,950094636,given the speeches I have made lately about the press,19770623,Mr. OBEY,06231977.txt,given the speeches I have made lately about the press,[]
75,950094636,I am not one,19770623,Mr. OBEY,06231977.txt,I am not one,[]
86,950094636,I suppose,19770623,Mr. OBEY,06231977.txt,I suppose,[]
9

I am trying to extract just parentheses with the word LOC:

1,speech_id,sentence,date,speaker,file,parsed_text,named_entities
20,950094636,Let me state that the one sure way we can make it easy for Castro to continue to gain converts in Latin America is if we continue to support regimes of the ilk of the Somoza family,19770623,Mr. OBEY,06231977.txt,Let me state that the one sure way we can make it easy for Castro to continue to gain converts in Latin America is if we continue to support regimes of the ilk of the Somoza family,&quot;[('one', 'CARDINAL'), ('Castro', 'PERSON'), ('Latin America', 'LOC'), ('Somoza', 'PERSON')]&quot;
31,950094636,That is how we encourage the growth of communism,19770623,Mr. OBEY,06231977.txt,That is how we encourage the growth of communism,[]
42,950094636,That is how we discourage the growth of democracy in Latin America,19770623,Mr. OBEY,06231977.txt,That is how we discourage the growth of democracy in Latin America,&quot;[('Latin America', 'LOC')]&quot;
53,950094636,Mr Chairman,19770623,Mr. OBEY,06231977.txt,Mr Chairman,[]
64,950094636,given the speeches I have made lately about the press,19770623,Mr. OBEY,06231977.txt,given the speeches I have made lately about the press,[]
75,950094636,I am not one,19770623,Mr. OBEY,06231977.txt,I am not one,[]
86,950094636,I suppose,19770623,Mr. OBEY,06231977.txt,I suppose,[]
9regex &lt;- &quot;(?=\\().*? \'LOC.*?(?&lt;=\\))&quot;
10  
11  
12filtered_df$clean_NE &lt;- str_extract_all(filtered_df$named_entities, regex)
13

The above regular expression does not work. Thanks!

ANSWER

Answered 2021-Nov-13 at 22:41

You can use

1,speech_id,sentence,date,speaker,file,parsed_text,named_entities
20,950094636,Let me state that the one sure way we can make it easy for Castro to continue to gain converts in Latin America is if we continue to support regimes of the ilk of the Somoza family,19770623,Mr. OBEY,06231977.txt,Let me state that the one sure way we can make it easy for Castro to continue to gain converts in Latin America is if we continue to support regimes of the ilk of the Somoza family,&quot;[('one', 'CARDINAL'), ('Castro', 'PERSON'), ('Latin America', 'LOC'), ('Somoza', 'PERSON')]&quot;
31,950094636,That is how we encourage the growth of communism,19770623,Mr. OBEY,06231977.txt,That is how we encourage the growth of communism,[]
42,950094636,That is how we discourage the growth of democracy in Latin America,19770623,Mr. OBEY,06231977.txt,That is how we discourage the growth of democracy in Latin America,&quot;[('Latin America', 'LOC')]&quot;
53,950094636,Mr Chairman,19770623,Mr. OBEY,06231977.txt,Mr Chairman,[]
64,950094636,given the speeches I have made lately about the press,19770623,Mr. OBEY,06231977.txt,given the speeches I have made lately about the press,[]
75,950094636,I am not one,19770623,Mr. OBEY,06231977.txt,I am not one,[]
86,950094636,I suppose,19770623,Mr. OBEY,06231977.txt,I suppose,[]
9regex &lt;- &quot;(?=\\().*? \'LOC.*?(?&lt;=\\))&quot;
10  
11  
12filtered_df$clean_NE &lt;- str_extract_all(filtered_df$named_entities, regex)
13str_extract_all(filtered_df$named_entities, &quot;\\([^()]*'LOC'[^()]*\\)&quot;)
14

See the regex demo. Details:

\( - a ( char
[^()]* - zero or more chars other than ( and )
'LOC' - a 'LOC' string
[^()]* - zero or more chars other than ( and )
\) - a ) char.

See the online R demo:

1,speech_id,sentence,date,speaker,file,parsed_text,named_entities
20,950094636,Let me state that the one sure way we can make it easy for Castro to continue to gain converts in Latin America is if we continue to support regimes of the ilk of the Somoza family,19770623,Mr. OBEY,06231977.txt,Let me state that the one sure way we can make it easy for Castro to continue to gain converts in Latin America is if we continue to support regimes of the ilk of the Somoza family,&quot;[('one', 'CARDINAL'), ('Castro', 'PERSON'), ('Latin America', 'LOC'), ('Somoza', 'PERSON')]&quot;
31,950094636,That is how we encourage the growth of communism,19770623,Mr. OBEY,06231977.txt,That is how we encourage the growth of communism,[]
42,950094636,That is how we discourage the growth of democracy in Latin America,19770623,Mr. OBEY,06231977.txt,That is how we discourage the growth of democracy in Latin America,&quot;[('Latin America', 'LOC')]&quot;
53,950094636,Mr Chairman,19770623,Mr. OBEY,06231977.txt,Mr Chairman,[]
64,950094636,given the speeches I have made lately about the press,19770623,Mr. OBEY,06231977.txt,given the speeches I have made lately about the press,[]
75,950094636,I am not one,19770623,Mr. OBEY,06231977.txt,I am not one,[]
86,950094636,I suppose,19770623,Mr. OBEY,06231977.txt,I suppose,[]
9regex &lt;- &quot;(?=\\().*? \'LOC.*?(?&lt;=\\))&quot;
10  
11  
12filtered_df$clean_NE &lt;- str_extract_all(filtered_df$named_entities, regex)
13str_extract_all(filtered_df$named_entities, &quot;\\([^()]*'LOC'[^()]*\\)&quot;)
14library(stringr)
15x &lt;- &quot;[('one', 'CARDINAL'), ('Castro', 'PERSON'), ('Latin America', 'LOC'), ('Somoza', 'PERSON')]&quot;
16str_extract_all(x, &quot;\\([^()]*'LOC'[^()]*\\)&quot;)
17# =&gt; [1] &quot;('Latin America', 'LOC')&quot;
18

As a bonus solution to get Latin America, you can use

1,speech_id,sentence,date,speaker,file,parsed_text,named_entities
20,950094636,Let me state that the one sure way we can make it easy for Castro to continue to gain converts in Latin America is if we continue to support regimes of the ilk of the Somoza family,19770623,Mr. OBEY,06231977.txt,Let me state that the one sure way we can make it easy for Castro to continue to gain converts in Latin America is if we continue to support regimes of the ilk of the Somoza family,&quot;[('one', 'CARDINAL'), ('Castro', 'PERSON'), ('Latin America', 'LOC'), ('Somoza', 'PERSON')]&quot;
31,950094636,That is how we encourage the growth of communism,19770623,Mr. OBEY,06231977.txt,That is how we encourage the growth of communism,[]
42,950094636,That is how we discourage the growth of democracy in Latin America,19770623,Mr. OBEY,06231977.txt,That is how we discourage the growth of democracy in Latin America,&quot;[('Latin America', 'LOC')]&quot;
53,950094636,Mr Chairman,19770623,Mr. OBEY,06231977.txt,Mr Chairman,[]
64,950094636,given the speeches I have made lately about the press,19770623,Mr. OBEY,06231977.txt,given the speeches I have made lately about the press,[]
75,950094636,I am not one,19770623,Mr. OBEY,06231977.txt,I am not one,[]
86,950094636,I suppose,19770623,Mr. OBEY,06231977.txt,I suppose,[]
9regex &lt;- &quot;(?=\\().*? \'LOC.*?(?&lt;=\\))&quot;
10  
11  
12filtered_df$clean_NE &lt;- str_extract_all(filtered_df$named_entities, regex)
13str_extract_all(filtered_df$named_entities, &quot;\\([^()]*'LOC'[^()]*\\)&quot;)
14library(stringr)
15x &lt;- &quot;[('one', 'CARDINAL'), ('Castro', 'PERSON'), ('Latin America', 'LOC'), ('Somoza', 'PERSON')]&quot;
16str_extract_all(x, &quot;\\([^()]*'LOC'[^()]*\\)&quot;)
17# =&gt; [1] &quot;('Latin America', 'LOC')&quot;
18str_extract_all(x, &quot;[^']+(?=',\\s*'LOC'\\))&quot;)
19# =&gt; [1] &quot;Latin America&quot;
20

Here, [^']+(?=',\s*'LOC'\)) matches one or more chars other than ' that are followed with ',, zero or more whitespaces, and then 'LOC') string.

Source https://stackoverflow.com/questions/69958102

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