How to build Streamlit GUI to chat with Travel Recommendation RAG🚀: Python — LlamaIndex #2
In today’s tutorial, we're going to build a Streamlit graphical user interface so that we can chat with a travel recommendation RAG using LlamaIndex with an OpenAI model. I'll show you an example in Python.
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⦁ GitHub repository: https://github.com/rokbenko/ai-playgr...
⦁ Code for this tutorial: https://github.com/rokbenko/ai-playgr...
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🎞️ Timestamps 🎞️
00:00 – Intro
00:15 – Code for this tutorial
00:30 – Install LlamaIndex and Streamlit
00:34 – Set environment variables
01:07 – App look if env variables provided vs. not provided
01:43 – App title and Streamlit session state explained
02:14 – Get the user's question, append it to the state and display it
02:29 – Set OpenAI model parameters
03:14 – If statement explained
03:24 – Load documents and create a vector index
03:44 – Perform a streaming query
04:05 – Get the assistants's answer and append it to the state
04:21 – Run the Streamlit app
04:54 – Outro
#AI #LlamaIndex #OpenAI #Streamlit #RAG