Metadata-Version: 2.1
Name: rasa-core
Version: 0.13.0a3
Summary: Machine learning based dialogue engine for conversational software.
Home-page: https://rasa.com
Author: Rasa Technologies GmbH
Author-email: hi@rasa.com
Maintainer: Tom Bocklisch
Maintainer-email: tom@rasa.com
License: Apache 2.0
Download-URL: https://github.com/RasaHQ/rasa_core/archive/0.13.0a3.tar.gz
Project-URL: Bug Reports, https://github.com/rasahq/rasa_core/issues
Project-URL: Source, https://github.com/rasahq/rasa_core
Description: # Rasa Core 
        [![Join the chat on Rasa Community Forum](https://img.shields.io/badge/forum-join%20discussions-brightgreen.svg)](https://forum.rasa.com/?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
        [![PyPI version](https://img.shields.io/pypi/v/rasa_core.svg)](https://pypi.python.org/pypi/rasa-core)
        [![Supported Python Versions](https://img.shields.io/pypi/pyversions/rasa_core.svg)](https://pypi.python.org/pypi/rasa_core)
        [![Build Status](https://travis-ci.com/RasaHQ/rasa_core.svg?branch=master)](https://travis-ci.com/RasaHQ/rasa_core)
        [![Coverage Status](https://coveralls.io/repos/github/RasaHQ/rasa_core/badge.svg?branch=master)](https://coveralls.io/github/RasaHQ/rasa_core?branch=master)
        [![Documentation Status](https://img.shields.io/badge/docs-stable-brightgreen.svg)](https://rasa.com/docs/core)
        
        
        - **What do Rasa Core & NLU do? 🤔**
          [Read About the Rasa Stack](https://rasa.com/products/rasa-stack/)
        
        - **I'd like to read the detailed docs 🤓**
          [Read The Docs](https://rasa.com/docs/core)
        
        - **I'm ready to install Rasa Core! 🚀**
          [Installation](https://rasa.com/docs/core/installation.html)
        
        - **I have a question ❓**
          [Rasa Community Forum](https://forum.rasa.com)
        
        - **I would like to contribute 🤗**
          [How to contribute](#how-to-contribute)
        
        ### Important Note
        
        Current github master version does NOT support python 2.7 anymore (neither
        will the next major release). If you want to use Rasa Core with python 
        2.7, please install the most recent version from pypi.
        
        ## Introduction
        
        Rasa Core is a framework for building conversational software, which includes
        Chat Bots on :
        - Facebook Messenger
        - Slack
        - Microsoft Bot Framework
        - Rocket.Chat
        - Mattermost
        - Telegram
        - Twilio
        
        But you can also build assistants as
        - Alexa Skills
        - Google Home Actions
        
        Rasa Core's primary purpose is to help you build contextual, layered
        conversations with lots of back-and-forth. To have a real conversation,
        you need to have some memory and build on things that were said earlier.
        Rasa Core lets you do that in a scalable way.
        
        There's a lot more background information in this
        [blog post](https://medium.com/rasa-blog/a-new-approach-to-conversational-software-2e64a5d05f2a)
        
        ## Where to get help
        
        There is extensive documentation:
        
        - [master](https://rasa.com/docs/core/master/)&nbsp;
          (if you install from **github**) or
        - [stable](https://rasa.com/docs/core)&nbsp;&nbsp;
          (if you install from **pypi**)
        
        
        Please use [Rasa Community Forum](https://forum.rasa.com) for quick answers to
        questions.
        
        
        
        ### README Contents:
        - [How to contribute](#how-to-contribute)
        - [Development Internals](#development-internals)
        - [License](#license)
        
        ### How to contribute
        We are very happy to receive and merge your contributions. There is
        some more information about the style of the code and docs in the
        [documentation](https://nlu.rasa.com/contribute.html).
        
        In general the process is rather simple:
        1. create an issue describing the feature you want to work on (or
           have a look at issues with the label
           [help wanted](https://github.com/RasaHQ/rasa_core/issues?q=is%3Aissue+is%3Aopen+label%3A%22help+wanted%22))
        2. write your code, tests and documentation
        3. create a pull request describing your changes
        
        You pull request will be reviewed by a maintainer, who might get
        back to you about any necessary changes or questions. You will
        also be asked to sign a
        [Contributor License Agreement](https://cla-assistant.io/RasaHQ/rasa_core)
        
        
        ## Development Internals
        ### Running and changing the documentation
        To build & edit the docs, first install all necessary dependencies:
        
        ```
        brew install sphinx
        pip install -r dev-requirements.txt
        ```
        
        After the installation has finished, you can run and view the documentation
        locally using
        ```
        make livedocs
        ```
        
        Visit the local version of the docs at http://localhost:8000 in your browser.
        You can now change the docs locally and the web page will automatically reload
        and apply your changes.
        
        ## License
        Licensed under the Apache License, Version 2.0.
        Copyright 2018 Rasa Technologies GmbH. [Copy of the license](LICENSE.txt).
        
        A list of the Licenses of the dependencies of the project can be found at
        the bottom of the
        [Libraries Summary](https://libraries.io/github/RasaHQ/rasa_core).
        
Keywords: nlp machine-learning machine-learning-library bot bots botkit rasa conversational-agents conversational-ai chatbotchatbot-framework bot-framework
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Software Development :: Libraries
Description-Content-Type: text/markdown
Provides-Extra: test
