Visualizing LLM Document Processing with Streamlit
Hey Streamlit community!
I built something that I think you might find interesting - a Streamlit app that visualizes how LLMs process documents in real-time.
What it does
The app shows you exactly which parts of a document an LLM focuses on when answering questions. It highlights the relevant chunks directly on the page as the model processes them.
Tech Stack
- Streamlit for the frontend
- unstructured.io for document processing
- RAG (Retrieval-Augmented Generation) for document Q&A
Try it out
Currently using MLK’s Letter from Birmingham Jail as a demo document.
Check out the demo
Coming Soon
- Custom document upload functionality
- Support for multiple document formats
- Enhanced visualization features
Looking for feedback
- How could this be more useful for your Streamlit projects?
- Any suggestions for UI/UX improvements?
- What features would you like to see added?
- Any tips for optimizing performance?
I’m also attaching some cool 
screenshot of app that how annotated chunks looks like which evidence score.
