Update README.md

README.md

@@ -1,14 +1,22 @@
----
-title: Her2 Rag Chatbot
-emoji: 🏃
-colorFrom: gray
-colorTo: indigo
-sdk: streamlit
-sdk_version: 1.44.1
-app_file: app.py
-pinned: false
-license: mit
-short_description: HER2 Q&A Chatbot
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 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
+
+## 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
+
+```bash
+pip install -r requirements.txt
+streamlit run app.py