Metadata-Version: 2.1
Name: Flask-Assistant
Version: 0.5.0
Summary: Framework for Building Virtual Assistants with API.AI
Home-page: https://github.com/treethought/flask-assistant
Author: Cam Sweeney
Author-email: cpsweene@gmail.com
License: Apache 2.0
Description: Create Virtual Assistants with Python
        =====================================
        
        [![image](https://img.shields.io/pypi/v/flask-assistant.svg)](https://pypi.python.org/pypi/flask-assistant)
        [![image](https://travis-ci.org/treethought/flask-assistant.svg?branch=master)](https://travis-ci.org/treethought/flask-assistant) ![image](https://img.shields.io/badge/python-3.5,%203.6,%203.7-blue.svg) [![image](https://img.shields.io/badge/discord-join%20chat-green.svg)](https://discord.gg/m6YHGyJ)
        
        A flask extension serving as a framework to easily create virtual assistants using [Dialogflow](https://dialogflow.com/docs) which may be integrated
        with platforms such as [Actions on
        Google](https://developers.google.com/actions/develop/apiai/) (Google
        Assistant).
        
        Flask-Assistant allows you to focus on building the core business logic
        of conversational user interfaces while utilizing Dialogflow's Natural
        Language Processing to interact with users.
        
        **Now supports Dialogflow V2!**
        
        This project is heavily inspired and based on John Wheeler's
        [Flask-ask](https://github.com/johnwheeler/flask-ask) for the Alexa
        Skills Kit.
        
        Features
        --------
        
        > - Mapping of user-triggered Intents to action functions
        > - Context support for crafting dialogue dependent on the user's requests
        > - Define prompts for missing parameters when they are not present in the users request or past active contexts
        > - A convenient syntax resembling Flask's decoratored routing
        > - Rich Responses for Google Assistant
        
        Hello World
        -----------
        
        ```python
        from flask import Flask
        from flask_assistant import Assistant, ask
        
        app = Flask(__name__)
        assist = Assistant(app, project_id="GOOGLE_CLOUD_PROJECT_ID")
        
        @assist.action("Demo")
        def hello_world():
            speech = "Microphone check 1, 2 what is this?"
            return ask(speech)
        
        if __name__ == "__main__":
            app.run(debug=True)
        ```
        
        How-To
        ------
        
        > 1.  Create an Assistant object with a Flask app.
        > 2.  Use action decorators to map intents to the
        >     proper action function.
        > 3.  Use action view functions to return ask or tell responses.
        
        Documentation
        -------------
        
        -   Check out the [Quick
            Start](http://flask-assistant.readthedocs.io/en/latest/quick_start.html)
            to jump right in
        -   View the full
            [documentation](http://flask-assistant.readthedocs.io/en/latest/)
        
Platform: any
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Framework :: Flask
Classifier: Programming Language :: Python
Classifier: Environment :: Web Environment
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Classifier: Topic :: Internet :: WWW/HTTP :: Dynamic Content
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/markdown
Provides-Extra: HassRemote
