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README.md
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# Paper Reader Assistant (Gradio on Hugging Face Spaces)
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Features:
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- Keyword extraction (KeyBERT)
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- RAG QA with FAISS + sentence-transformers + Flan-T5
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Quick Start
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1. Create a new **Space** with SDK = **Gradio**.
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2. Upload three files: `app.py`, `requirements.txt`, `README.md`.
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3. Wait for auto-build to finish. Open the Space URL.
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---
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title: Paper Reader Assistant
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emoji: π
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colorFrom: blue
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colorTo: green
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sdk: gradio
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sdk_version: "4.44.0"
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app_file: app.py
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pinned: false
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---
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# Paper Reader Assistant (Gradio on Hugging Face Spaces)
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Features:
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- Keyword extraction (KeyBERT)
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- RAG QA with FAISS + sentence-transformers + Flan-T5
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## Quick Start
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1. Create a new **Space** with SDK = **Gradio**.
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2. Upload three files: `app.py`, `requirements.txt`, `README.md`.
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3. Wait for auto-build to finish. Open the Space URL.
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## Notes
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- Works best on English scientific PDFs (text-based).
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- For scanned PDFs, run OCR first (not included).
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- All models run on CPU by default; enable GPU for faster inference.
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