Create README.md

README.md

@@ -1,13 +1,18 @@
----
-title: Chatbot
-emoji: 👀
-colorFrom: purple
-colorTo: green
-sdk: gradio
-sdk_version: 6.0.2
-app_file: app.py
-pinned: false
-short_description: PDF reader Chatbot
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 📄 Chat with your PDF (HuggingFace RAG)
+
+This Space lets you upload a PDF and ask questions about it.
+
+- Embeddings: `sentence-transformers/all-MiniLM-L6-v2`
+- LLM: `google/gemma-2b-it`
+- Framework: Streamlit
+- Architecture: Retrieval-Augmented Generation (RAG)
+
+## How it works
+
+1. Upload a PDF in the sidebar.
+2. The app extracts text, splits into chunks, and embeds them.
+3. When you ask a question, the app:
+   - embeds the question
+   - retrieves the most relevant chunks
+   - passes them with the question to the LLM
+4. The model answers based **only** on the document context.