GithubHelp home page GithubHelp logo

hhy5277 / rasa_core Goto Github PK

View Code? Open in Web Editor NEW

This project forked from rasahq/rasa_core

0.0 1.0 0.0 810.08 MB

๐Ÿค– Open source chatbot framework with machine learning-based dialogue management - Build contextual AI assistants

Home Page: https://rasa.com/docs/core/

License: Apache License 2.0

Dockerfile 0.08% Makefile 0.09% Shell 0.09% Jupyter Notebook 2.50% Python 96.88% HTML 0.37%

rasa_core's Introduction

Rasa Core

Join the chat on Rasa Community Forum PyPI version Supported Python Versions Build Status Coverage Status Documentation Status

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

Where to get help

There is extensive documentation:

  • masterย  (if you install from github) or
  • stableย ย  (if you install from pypi)

Please use Rasa Community Forum for quick answers to questions.

README Contents:

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.

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)
  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

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.

A list of the Licenses of the dependencies of the project can be found at the bottom of the Libraries Summary.

rasa_core's People

Contributors

1tupac avatar akelad avatar amn41 avatar andrewluotechnologies avatar benjamin-work avatar btotharye avatar epedrotti avatar erohmensing avatar ghostvv avatar grzegorznowak avatar harrywang avatar im-naren avatar imlew avatar jackson-zhipeng-chang avatar joeyfaulkner avatar justinapetr avatar leon0707 avatar m90 avatar metcalfetom avatar mvollrath avatar nahidalam avatar pritampathak96 avatar ricwo avatar rolandjaai avatar ruiconti avatar smn-snkl avatar souvikg10 avatar tmbo avatar useready-andyv avatar wochinge avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.