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.
Make sure you have your python virtual environment activated (
To install Rasa X locally, run the following in your project root:
pip install rasa-x --extra-index-url https://pypi.rasa.com/simple
requirements.txt after the installation.
pip freeze > requirements.txt
You can learn more about installing Rasa X in the documentation.
Start the server by running
This will open a browser tab on http://localhost:5002 with Rasa X GUI.
- 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.
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 email@example.com:petr7555/rasa-dev-tutorial.git