RagBot / README.md
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Updated main.py
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A newer version of the Streamlit SDK is available: 1.52.2

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metadata
title: RagBot
emoji: πŸ“š
colorFrom: indigo
colorTo: blue
sdk: streamlit
sdk_version: 1.32.0
app_file: app.py
pinned: false

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference


πŸ“š RagBot: Chatbot + Document QA

This app lets you chat with any uploaded PDF and ask questions β€” either from the document or general ones β€” powered by local open-source models. Combines RAG with chatbot UX.

πŸš€ Features

  • Upload PDFs and chat with them
  • General knowledge + document-specific answers
  • Accurate retrieval using FAISS and sentence-transformers
  • Clean, sticky UI with full chat history
  • Runs 100% free using lightweight Hugging Face models

🧠 Powered By

  • 🧠 Embeddings: sentence-transformers/paraphrase-MiniLM-L6-v2
  • πŸ“– QA Model: distilbert-base-cased-distilled-squad
  • 🧰 Backend: Streamlit + FAISS + Transformers

πŸ’‘ How It Works

  1. Upload your PDF
  2. App chunks & embeds the text
  3. Uses FAISS to retrieve context
  4. Hugging Face model generates answers:
    • Uses the doc context if available
    • Falls back to general QA
    • Refuses to answer if uncertain

πŸ“¦ Dependencies

pip install streamlit faiss-cpu sentence-transformers transformers PyMuPDF