All credit for this project goes to Alejandro AO (https://www.youtube.com/watch?v=dXxQ0LR-3Hg&t=1471s). He is the author of this work. I simply worked through the project on his channel and was able to get it to work. I did make some modifications:

I used two different models: for the embedding model i used sentence-transformers/all-mpnet-base-v2 and for the language model I used google/flan-t5-base. I was not signed up to OPENAI to use their paid models, so I used open source Huggingface Models.

Also, my code didn't work on the latest Streamlit version (1.31.0 I think). So based on Alejandro's advice, I downgraded to 1.29.0 and then the program worked.

Other issues I found with other HuggingFace open source embedding models was xthat some were limited to only a few input tokens when inputting the question. So the current model I have seems to solve that issue.

This project shows the use of LLMs, Embedding Models, Streamlit and VS Code.