README.md

metadata

title: Paper Reader Assistant
emoji: 📚
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false

Paper Reader Assistant (Gradio on Hugging Face Spaces)

Features:

• Upload PDFs → extract text (PyMuPDF)
• Summarization (BART map-reduce)
• Keyword extraction (KeyBERT)
• RAG QA with FAISS + sentence-transformers + Flan-T5

Quick Start

1. Create a new Space with SDK = Gradio.
2. Upload three files: app.py, requirements.txt, README.md.
3. Wait for auto-build to finish. Open the Space URL.

Notes

• Works best on English scientific PDFs (text-based).
• For scanned PDFs, run OCR first (not included).
• All models run on CPU by default; enable GPU for faster inference.