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RASA - Rasa X

Petr Janik
I'm a student of applied informatics at Masaryk University in Brno. I love coding, especially in React, Java and Python.
・2 min read

Rasa X is a tool for Conversation-Driven Development (CDD), the process of listening to your users and using those insights to improve your AI assistant.

Installation

Make sure you have your python virtual environment activated (source venv/bin/activate).
To install Rasa X locally, run the following in your project root:

pip install rasa-x --extra-index-url https://pypi.rasa.com/simple
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Update the requirements.txt after the installation.

pip freeze > requirements.txt
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You can learn more about installing Rasa X in the documentation.

Starting the server

Start the server by running rasa x.
This will open a browser tab on http://localhost:5002 with Rasa X GUI.

Rasa X

Capabilities of Rasa X

  • You can talk to your chatbot. While you are talking, a story and test story is being generated for you. You can also observe what intents have been recognized, with what accuracy, what is the current active_loop, which slot is being filled in etc. You can save the generated story. This is much more convenient than writing the story yourself.
  • You can see and review past conversations.
  • You can tag and filter past conversations.
  • You can correct chatbot's decisions.
  • You can edit all the files we have been working with so far.
  • There's so much more Rasa X is capable of! I encourage you to launch the server and start discovering by yourself.

You can learn more about Rasa X in the documentation.

You can read more about Conversation-Driven Development on Rasa blog or in The CDD Playbook

In the next chapter, we will look at categorical slots.

Repository for this tutorial:

You can checkout the state of the repository at the end of this tutorial by running:

git clone --branch 08-rasa-x git@github.com:petr7555/rasa-dev-tutorial.git
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