Metadata-Version: 2.1
Name: rasa-core
Version: 0.9.3
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/0.9.3.tar.gz
Project-URL: Source, https://github.com/rasahq/rasa_core
Project-URL: Bug Reports, https://github.com/rasahq/rasa_core/issues
Description: # Rasa Core
        [![Join the chat on Gitter](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/RasaHQ/rasa_core?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
        [![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)
        [![PyPI version](https://img.shields.io/pypi/v/rasa_core.svg)](https://pypi.python.org/pypi/rasa-core)
        [![Documentation Status](https://img.shields.io/badge/docs-stable-brightgreen.svg)](https://core.rasa.com/)
        
        
        - **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://core.rasa.com)
        
        - **I'm ready to install Rasa Core! 🚀** [Installation](https://core.rasa.com/installation.html)
        
        - **I have a question ❓** [Gitter channel](https://gitter.im/RasaHQ/rasa_core)
        
        - **I would like to contribute 🤗** [How to contribute](#how-to-contribute)
        
        
        ## Introduction
        
        Rasa Core is a framework for building conversational software, which includes:
        - chatbots on Messenger
        - Slack bots
        - Alexa Skills
        - Google Home Actions
        
        etc. 
        
        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://core.rasa.com/master/)&nbsp; (if you install from **github**) or 
        - [stable](https://core.rasa.com/)&nbsp;&nbsp; (if you install from **pypi**)
        
        
        Please use [gitter](https://gitter.im/RasaHQ/rasa_core) 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 :: 2.7
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
