# rasa_wechat **Repository Path**: wtfafk/rasa_wechat ## Basic Information - **Project Name**: rasa_wechat - **Description**: No description available - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-02-24 - **Last Updated**: 2020-12-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # 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.org/RasaHQ/rasa_core.svg?branch=master)](https://travis-ci.org/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) ### [Go To Docs](https://core.rasa.ai) ## 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: - [Setup](#setup) - [How to contribute](#how-to-contribute) - [Development Internals](#development-internals) - [License](#license) ## Setup There isn't a released pypi package yet. Hence, you need to clone and install the package from the github repository. For a more detailed description, please visit the [**Installation page**](https://core.rasa.ai/installation.html) of the docs. If you want to install the latest master version from github, run: ```bash git clone https://github.com/RasaHQ/rasa_core.git cd rasa_core pip install -r requirements.txt pip install -e . ``` ## 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 |