Metadata-Version: 2.1
Name: rasa
Version: 1.0.0rc8
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/archive/1.0.0rc8.tar.gz
Project-URL: Bug Reports, https://github.com/rasahq/rasa/issues
Project-URL: Source, https://github.com/rasahq/rasa
Description: # Rasa (formerly Rasa Core + Rasa NLU)
        
        [![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://badge.fury.io/py/rasa-nlu.svg)](https://badge.fury.io/py/rasa-nlu)
        [![Supported Python Versions](https://img.shields.io/pypi/pyversions/rasa_nlu.svg)](https://pypi.python.org/pypi/rasa_nlu)
        [![Build Status](https://travis-ci.com/RasaHQ/rasa.svg?branch=master)](https://travis-ci.com/RasaHQ/rasa)
        [![Coverage Status](https://coveralls.io/repos/github/RasaHQ/rasa/badge.svg?branch=master)](https://coveralls.io/github/RasaHQ/rasa?branch=master)
        [![Documentation Status](https://img.shields.io/badge/docs-stable-brightgreen.svg)](https://rasa.com/docs)
        [![FOSSA Status](https://app.fossa.io/api/projects/git%2Bgithub.com%2FRasaHQ%2Frasa_nlu.svg?type=shield)](https://app.fossa.io/projects/git%2Bgithub.com%2FRasaHQ%2Frasa_nlu?ref=badge_shield)
        
        <img align="right" height="244" src="https://www.rasa.com/assets/img/sara/sara-open-source-lg.png">
        
        **Note** This repository now contains the code for both Rasa NLU **AND** Rasa Core.
        Nothing has changed yet in terms of usage, but we are in the process of simplifying
        everything ahead of the next major release. 
        
        Rasa is an open source machine learning framework to automate text-and voice-based conversations. With Rasa, you can build chatbots on:
        - Facebook Messenger
        - Slack
        - Microsoft Bot Framework
        - Rocket.Chat
        - Mattermost
        - Telegram
        - Twilio
        - Your own custom conversational channels
        
        or voice assistants as:
        - Alexa Skills
        - Google Home Actions
        
        Rasa'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 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).
        
        ---
        - **What does Rasa do? 🤔**
          [Check out our Website](https://rasa.com/)
        
        - **I'd like to read the detailed docs 🤓**
          [Read The Docs](https://rasa.com/docs)
        
        - **I'm ready to install Rasa and get started! 🚀**
          [Installation](https://rasa.com/docs/docs/getting-started/)
        
        - **I have a question ❓**
          [Rasa Community Forum](https://forum.rasa.com)
        
        - **I would like to contribute 🤗**
          [How to contribute](#how-to-contribute)
          
        ---  
        ## Where to get help
        
        There is extensive documentation at [Rasa Docs](https://rasa.com/docs). 
        Make sure to select the correct version so you are looking at 
        the docs for the version you installed.
        
        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://rasa.com/docs/contributing/).
        
        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/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
        
        Your 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).
        
        
        ## Development Internals
        ### Running and changing the documentation
        To build & edit the docs, first install all necessary dependencies:
        
        ```
        brew install sphinx
        pip3 install -r requirements-dev.txt
        ```
        
        After the installation has finished, you can run and view the documentation
        locally using:
        ```
        make livedocs-nlu
        make livedocs-core
        ```
        
        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.
        
        ### Running the Tests
        In order to run the tests make sure that you have the development requirements installed.
        ```
        make test
        ```
        
        ### Steps to release a new version
        Releasing a new version is quite simple, as the packages are build and distributed by travis. The following things need to be done to release a new version
        1. update [rasa/version.py](https://github.com/RasaHQ/rasa/blob/master/rasa/version.py) to reflect the correct version number
        2. edit the [CHANGELOG.rst](https://github.com/RasaHQ/rasa/blob/master/CHANGELOG.rst), create a new section for the release (eg by moving the items from the collected master section) and create a new master logging section
        3. edit the [migration guide](https://github.com/RasaHQ/rasa/blob/master/docs/migrations.rst) to provide assistance for users updating to the new version 
        4. commit all the above changes and tag a new release, e.g. using 
            ```
            git tag -f 0.7.0 -m "Some helpful line describing the release"
            git push origin 0.7.0
            ```
            travis will build this tag and push a package to [pypi](https://pypi.python.org/pypi/rasa)
        5. only if it is a **major release**, a new branch should be created pointing to the same commit as the tag to allow for future minor patches, e.g.
            ```
            git checkout -b 0.7.x
            git push origin 0.7.x
            ```
        
        ### Code Style
        
        To ensure a standardized code style we use the formatter [black](https://github.com/ambv/black).
        If your code is not formatted properly, travis will fail to build.
        
        If you want to automatically format your code on every commit, you can use [pre-commit](https://pre-commit.com/).
        Just install it via `pip install pre-commit` and execute `pre-commit install` in the root folder.
        This will add a hook to the repository, which reformats files on every commit.
        
        If you want to set it up manually, install black via `pip install black`.
        To reformat files execute
        ```
        black .
        ```
        
        ## License
        Licensed under the Apache License, Version 2.0.
        Copyright 2019 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).
        
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: Programming Language :: Python :: 3.7
Classifier: Topic :: Software Development :: Libraries
Description-Content-Type: text/markdown
Provides-Extra: spacy
Provides-Extra: test
Provides-Extra: sql
Provides-Extra: mitie
