EndPointCorp/rasa_core

Name: rasa_core

Owner: End Point Corporation

Description: machine learning based dialogue engine for conversational software

Forked from: RasaHQ/rasa_core

Created: 2017-10-12 19:00:20.0

Updated: 2017-10-12 19:00:22.0

Pushed: 2017-11-21 21:13:25.0

Homepage: https://rasa.ai/products/rasa-core/

Size: 10186

Language: Python

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README

Rasa Core

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Introduction

Rasa Core is a framework for building conversational software, which includes:

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

Where to get help

There is extensive documentation:

Please use gitter for quick answers to questions.

README Contents:
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 of the docs.

If you want to install the latest master version from github, run:

clone https://github.com/RasaHQ/rasa_core.git
asa_core
install -r requirements.txt
install -e .
Development Internals
Running and changing the documentation

To build & edit the docs, first install all necessary dependencies:

 install sphinx
install -r dev-requirements.txt

After the installation has finished, you can run and view the documentation locally using

 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.

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 |


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.