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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: πŸ“š
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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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+
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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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+ ## 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.