UniversalVocoding | PyTorch implementation of Robust Universal Neural Vocoding | Speech library

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:

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.)

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?

My current data-frame is:

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?

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!

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

1. How many bill proposals that each MP has their signature on
2. How many question proposals that each MP has their signature on
3. 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

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:

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: