dialogflow-python-client | Python library for Dialogflow | Speech library

by dialogflow Python Version: 0.0.6 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | dialogflow-python-client Summary

dialogflow-python-client is a Python library typically used in Artificial Intelligence, Speech, Deep Learning applications. dialogflow-python-client has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

The API.AI Python SDK makes it easy to integrate speech recognition with API.AI natural language processing API. API.AI allows using voice commands and integration with dialog scenarios defined for a particular agent in API.AI.

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dialogflow-python-client has a low active ecosystem.

It has 559 star(s) with 202 fork(s). There are 52 watchers for this library.

It had no major release in the last 12 months.

There are 22 open issues and 26 have been closed. On average issues are closed in 38 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of dialogflow-python-client is 0.0.6

Quality

dialogflow-python-client has 0 bugs and 0 code smells.

Security

dialogflow-python-client has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

dialogflow-python-client code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dialogflow-python-client is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

dialogflow-python-client releases are available to install and integrate.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

dialogflow-python-client saves you 210 person hours of effort in developing the same functionality from scratch.

It has 514 lines of code, 46 functions and 10 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed dialogflow-python-client and discovered the below as its top functions. This is intended to give you an instant insight into dialogflow-python-client implemented functionality, and help decide if they suit your requirements.

Process a frame
Calculate the energy of a frame
Reset the delta
Return start request header
Prepare the audio mime type
Prepare entities
Resets the state
Return an instance of TextRequest
Construct an EventRequest object
Return the response as a string
Connect to the server
Send a chunk of data
Prepare headers
Return data as JSON
Send response to remote server

Get all kandi verified functions for this library.

dialogflow-python-client Key Features

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dialogflow-python-client Examples and Code Snippets

No Code Snippets are available at this moment for dialogflow-python-client.

Community Discussions

Trending Discussions on dialogflow-python-client

Is it possible to use batch_create_entities() to upload KIND_MAP entities?

Dialogflow v2 Beta 1 Update Intent with Python

Dialogflow python client versioning

How to use Detect Intent(Text) in Django Python?

QUESTION

Is it possible to use batch_create_entities() to upload KIND_MAP entities?

Asked 2019-Mar-27 at 06:32

I trying to batch create entities (KIND_MAP) but this reference implies from this line under batch_create_entities():

...

ANSWER

Answered 2019-Mar-27 at 06:32

Yes. It is possible to batch update for entity types who's 'Kind' is 'KIND_MAP'.

Reference: DialogFlow Issue #100

Source https://stackoverflow.com/questions/55370390

QUESTION

Dialogflow v2 Beta 1 Update Intent with Python

Asked 2019-Mar-15 at 17:49

I am lost. I have a currently existing Intent in my project, and I am trying to update ALL fields programmatically because that is what my project requires.

I read this documentation and checked this source file on GitHub, and I think the reason I am getting an error is because I don't understand this part of the source:

Args: intent (Union[dict, ~google.cloud.dialogflow_v2beta1.types.Intent]): Required. The intent to update. Format: projects//agent/intents/. If a dict is provided, it must be of the same form as the protobuf message :class:~google.cloud.dialogflow_v2beta1.types.Intent

(Line 484 for reference)

The platform works great I just don't know what I am missing here..

My code

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ANSWER

Answered 2019-Mar-15 at 17:49

You are able to get the intent which you want to modify correctly by using

Source https://stackoverflow.com/questions/55136597

QUESTION

Dialogflow python client versioning

Asked 2019-Feb-26 at 11:19

I am using python client for accessing dialogflow's functionality.
My question is: does

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ANSWER

Answered 2019-Feb-21 at 16:00

You can find out where a module is located by looking at its __file__ attribute. Doing this for dialogflow and then looking at the file you will see that it does indeed import from dialogflow_v2, i.e. is just a shortcut for the dialogflow_v2 import:

Source https://stackoverflow.com/questions/54749969

QUESTION

How to use Detect Intent(Text) in Django Python?

Asked 2018-Dec-04 at 11:28

I'm creating a chatbot with Dialogflow and Django-python. Right now, I already created an agent in Dialogflow, already have a Django app, used ngork, and other necessary stuffs except for connecting Dialogflow to Django app's fulfillment/and calling APIs.

I stumbled across this documentation https://github.com/googleapis/dialogflow-python-client-v2 and successfully did all the steps needed. In the last part of the documentation, it seems that what I finally need to do is use the dialogflow detect intent text , so I copied it and put it into my Django app(views.py).

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ANSWER

Answered 2018-Dec-04 at 11:28

I am assuming you know the basic functionalities of Django, and you are using v2 of Dialogflow.

You need to pass the user text request from front-end to the views.py. YOu will get it in request object, then you need to extract it.
After extracting the text, you need to call dialogflow's detect_intent() function with text and session_id (text requests with same session_id will be treated as same part of conversation).

Also, you would need to get a json file from GCP console in order to authenticate the dialogflow request. You can read more about that here.

Here is sample code which you can extend according to your use:

Source https://stackoverflow.com/questions/53608477

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