README.md

HER2 Q&A Chatbot

This chatbot allows you to ask questions about a scientific paper (HER2 breast cancer study). It uses:

• FAISS vector search with sentence-transformer embeddings
• RAG with local LLM (TinyLlama) for Q&A
• Streamlit for the UI
• Reranking with BAAI bge-reranker-base

Configuration

sdk: streamlit
app_file: app.py
runtime: python

How it works

1. The PDF is parsed and split into chunks.
2. Chunks are embedded and stored in FAISS.
3. A user query retrieves relevant chunks.
4. Optionally, a reranker improves the chunk order.
5. The top chunks and query are used to generate a response with TinyLlama.

Running locally

pip install -r requirements.txt
streamlit run app.py

Hosted Demo

👉 Available on Hugging Face Spaces!