Metadata-Version: 1.1
Name: rasa-core
Version: 0.7.9
Summary: Machine learning based dialogue engine for conversational software.
Home-page: https://rasa.ai
Author: Rasa Technologies GmbH
Author-email: hi@rasa.ai
License: UNKNOWN
Download-URL: https://github.com/RasaHQ/rasa_core/archive/0.7.9.tar.gz
Description: Rasa Core
        =========
        
        |Join the chat on Gitter| |Build Status| |Coverage Status| |PyPI
        version|
        
        -  **What do Rasa Core & NLU do? 🤔** `Read About the Rasa
           Stack <http://rasa.ai/products/rasa-stack/>`__
        
        -  **I'd like to read the detailed docs 🤓** `Read The
           Docs <https://core.rasa.ai>`__
        
        -  **I'm ready to install Rasa Core! 🚀**
           `Installation <https://core.rasa.ai/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.ai/master/>`__  (if you install from
           **github**) or
        -  `stable <https://core.rasa.ai/>`__   (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://rasahq.github.io/rasa_nlu/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
        signa `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 2017 Rasa
        Technologies GmbH. `Copy of the license <LICENSE.txt>`__.
        
        As a reference, the following contains a listing of the licenses of the
        different dependencies as of this writing. Licenses of the dependencies:
        
        +--------------------+----------------------+
        | required package   | License              |
        +====================+======================+
        | apscheduler        | MIT                  |
        +--------------------+----------------------+
        | fakeredis          | BSD                  |
        +--------------------+----------------------+
        | graphviz           | MIT                  |
        +--------------------+----------------------+
        | typing             | PSF                  |
        +--------------------+----------------------+
        | future             | MIT                  |
        +--------------------+----------------------+
        | six                | MIT                  |
        +--------------------+----------------------+
        | h5py               | BSD                  |
        +--------------------+----------------------+
        | jsonpickle         | BSD                  |
        +--------------------+----------------------+
        | keras              | MIT                  |
        +--------------------+----------------------+
        | numpy              | BSD                  |
        +--------------------+----------------------+
        | pandoc             | MIT                  |
        +--------------------+----------------------+
        | redis              | MIT                  |
        +--------------------+----------------------+
        | tensorflow         | Apache Licence 2.0   |
        +--------------------+----------------------+
        | networkx           | BSD                  |
        +--------------------+----------------------+
        | pymessenger        | MIT                  |
        +--------------------+----------------------+
        | tqdm               | MIT                  |
        +--------------------+----------------------+
        | ConfigArgParse     | MIT                  |
        +--------------------+----------------------+
        
        .. |Join the chat on Gitter| image:: https://badges.gitter.im/Join%20Chat.svg
           :target: https://gitter.im/RasaHQ/rasa_core?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge
        .. |Build Status| image:: https://travis-ci.org/RasaHQ/rasa_core.svg?branch=master
           :target: https://travis-ci.org/RasaHQ/rasa_core
        .. |Coverage Status| image:: https://coveralls.io/repos/github/RasaHQ/rasa_core/badge.svg?branch=master
           :target: https://coveralls.io/github/RasaHQ/rasa_core?branch=master
        .. |PyPI version| image:: https://img.shields.io/pypi/v/rasa_core.svg
           :target: https://pypi.python.org/pypi/rasa-core
        
Keywords: nlp,machine-learning,machine-learning-library,bot,bots,botkit,rasa,conversational-agents,conversational-ai,chatbot,chatbot-framework,bot-framework
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.6
