My Rasa Agent

Project Overview

This project demonstrates how to build a simple yet professional chatbot using Streamlit, embedded inside a traditional project documentation page. The chatbot responds interactively and preserves chat history, allowing users to experience conversational AI.

Chatbot version 1

I created sufficient foundation for this rasa chatbot with all files needed: nlu, stories, config, data, etc. Some how it was not trained correctly, maybe due to some exceptions. I will fix it this week.

Key Features

Real-time responses to customer queries using RASAâ€™s NLP engine.
Customizable responses for different user intents.
Support for multiple languages to cater to a diverse audience.

Technologies Used

RASA for NLP and dialogue management.
Python for backend logic and integrations.
Streamlit GUI for interactive responses with chatbot.
Streamlit cloud for hosting my Rasa chatbot.

🤖 Talk to the Chatbot

*This chatbot is running live using Streamlit Cloud.*

Contact

If you have any questions or feedback, feel free to reach out to us:

Email: [email protected]