|
|
--- |
|
|
title: RagBot |
|
|
emoji: 📚 |
|
|
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 |
|
|
|
|
|
--- |
|
|
|
|
|
# 📚 RagBot: Chatbot + Document QA |
|
|
|
|
|
This app lets you chat with any uploaded PDF and ask questions — either from the document or general ones — powered by **local open-source models**. Combines RAG with chatbot UX. |
|
|
|
|
|
## 🚀 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` |
|
|
- 📖 QA Model: `distilbert-base-cased-distilled-squad` |
|
|
- 🧰 Backend: Streamlit + FAISS + Transformers |
|
|
|
|
|
## 💡 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 |
|
|
|
|
|
## 📦 Dependencies |
|
|
|
|
|
```bash |
|
|
pip install streamlit faiss-cpu sentence-transformers transformers PyMuPDF |
|
|
|
