Metadata-Version: 2.1
Name: kidx-core
Version: 0.0.1a1
Summary: Machine learning based dialogue engine for conversational software.
Home-page: https://rasa.com
Author: Kidx AI Technologies Education
Author-email: nlp@mykidx.com
Maintainer: Colin Gao
Maintainer-email: colin.gao@mykidx.com
License: Apache 2.0
Download-URL: http://git.mykidx.com/nlp/kidx_core/-/archive/0.0.1a1/kidx_core-0.0.1a1.tar.gz
Project-URL: Bug Reports, http://redmine.mykidx.com/projects/kidx-nlu/issues
Project-URL: Source, http://git.mykidx.com/nlp/kidx_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)
        
        ## 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.
        
        ### Running and changing the unit test
        To build & edit the docs, first install all necessary dependencies:
        
        ```
        docker build -f Dockerfile.dev . -t kidx_core_dev
        
        docker run --name kidx_core_dev -v "$PWD":/app -it kidx_core_dev bash
        ```
        
        After the docker container start run command in docker
        ```
        pip install -e . --no-cache-dir -i https://mirrors.aliyun.com/pypi/simple/
        make lint
        make test
        ```
        
        Look the coverage should be no failure and pass 100%
        
        ## License
        Licensed under the Apache License, Version 2.0.
        Copyright 2018 Kidx AI Technologies Education. [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 kidx 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
