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Rasa is an open source machine learning framework to automate text-and voice-based conversations. With Rasa, you can build contexual assistants on:
or voice assistants as:
Rasa helps you build contextual assistants capable of having layered conversations with lots of back-and-forth. In order for a human to have a meaningful exchange with a contextual assistant, the assistant needs to be able to use context to build on things that were previously discussed – Rasa enables you to build assistants that can do this in a scalable way.
There's a lot more background information in this blog post.
What does Rasa do? 🤔 Check out our Website
I'm new to Rasa 😄 Get Started with Rasa
I'd like to read the detailed docs 🤓 Read The Docs
I'm ready to install Rasa 🚀 Installation
I want to learn how to use Rasa 🚀 Tutorial
I have a question ❓ Rasa Community Forum
I would like to contribute 🤗 How to Contribute
There is extensive documentation in the Rasa 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 for quick answers to questions.
We are very happy to receive and merge your contributions. You can find more information about how to contribute to Rasa (in lots of different ways!) here.
To contribute via pull request, follow these steps:
Your pull request will be reviewed by a maintainer, who will get back to you about any necessary changes or questions. You will also be asked to sign a Contributor License Agreement.
Rasa uses Poetry for packaging and dependency management. If you want to build it from source, you have to install Poetry first. This is how it can be done:
curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python3
There are several other ways to install Poetry. Please, follow the official guide to see all possible options.
To install dependencies and
rasa itself in editable mode execute
First of all, install all the required dependencies:
After the installation has finished, you can run and view the documentation locally using:
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.
In order to run the tests, make sure that you have the development requirements installed:
export PIP_USE_PEP517=false make prepare-tests-ubuntu # Only on Ubuntu and Debian based systems make prepare-tests-macos # Only on macOS
Then, run the tests:
They can also be run at multiple jobs to save some time:
JOBS=[n] make test
[n] is the number of jobs desired. If omitted,
[n] will be automatically chosen by pytest.
Releasing a new version is quite simple, as the packages are build and distributed by GitHub Actions.
masterin case of a major / minor, the current feature branch for patch releases)
GitHub will build this tag and push a package to pypi
git tag 1.2.0 -m "next release" git push origin 1.2.0
git checkout -b 1.2.x git push origin 1.2.x
To ensure a standardized code style we use the formatter black. To ensure our type annotations are correct we use the type checker pytype. If your code is not formatted properly or doesn't type check, GitHub will fail to build.
If you want to automatically format your code on every commit, you can use pre-commit.
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
To reformat files execute
If you want to check types on the codebase, install
To check the types execute
sphinx-versioning to build docs for tagged versions and for the master branch.
The static site that gets built is pushed to the
docs branch of this repo, which doesn't contain
any code, only the site.
We host the site on netlify. On master branch builds (see
.github/workflows/documentation.yml), we push the built docs to the
branch. Netlify automatically re-deploys the docs pages whenever there is a change to that branch.
Licensed under the Apache License, Version 2.0. Copyright 2020 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.