Hugging Face Daily Papers Reporter

Generate professional Word reports from Hugging Face Daily Papers with full text extraction and image capture.

What This Skill Does

1. Scrapes huggingface.co/papers for the top papers
2. Downloads PDFs from arXiv
3. Extracts Abstract and Introduction sections
4. Extracts figures/images from PDFs
5. Generates a formatted Word document (.docx) with:
   • Paper titles and arXiv links
   • Cover images from HF
   • Full abstracts
   • Introduction sections
   • Extracted figures from papers

Quick Start

Run the main script to generate today’s report:

cd /path/to/hf-papers-reporter
python3 scripts/process_papers.py

Output will be saved to output/HF_Daily_Papers_Report.docx

Dependencies

Install required packages:

pip3 install PyMuPDF python-docx Pillow beautifulsoup4 requests

How It Works

Step 1: Fetch Paper List

• Scrapes huggingface.co/papers
• Extracts arXiv IDs, titles, and cover image URLs

Step 2: Download & Process (per paper)

Download PDF from arxiv.org/pdf/{id}.pdf
    ↓
Extract text (first 5 pages)
    - Abstract (regex match)
    - Introduction (regex match)
    ↓
Extract images (first 5 pages, max 3 per page)
    - Compress to 600x400
    ↓
Download cover image from HF CDN
    - Compress to 800x600

Step 3: Generate Word Document

• Title page with report name and date
• Each paper as a section with:
  • Cover image (centered)
  • Abstract section
  • Introduction section
  • Extracted figures (up to 4)

Output Structure

hf_papers/
├── pdfs/           # Downloaded PDFs
├── images/         # Cover images + extracted figures
└── output/
    ├── HF_Daily_Papers_Report.docx
    └── papers_data.json

Known Issues & Solutions

Customization

To modify the number of papers (default: 10), edit the PAPERS list in scripts/process_papers.py.

To change image sizes, modify the thumbnail() calls in the script.