README.md

metadata

title: Research Paper Summarizer
emoji: 📚
colorFrom: gray
colorTo: green
sdk: gradio
sdk_version: 5.31.0
app_file: app.py
pinned: false
license: mit
short_description: Research Paper Summarizer

Check out the configuration reference at https://huggingface.co/spaces/vikpande/research-paper-summarizer

This Hugging Face Space summarizes abstracts from arXiv papers using the lightweight google/flan-t5-base model.

🔍 Features

• Paste an arXiv.org URL (e.g., https://arxiv.org/abs/2306.10001)
• Extracts the abstract
• Summarizes it using FLAN-T5 (text2text-generation model)
• Runs entirely on CPU, even in free Spaces

🚀 How to Run Locally

pip install -r requirements.txt
python app.py

✨ Model Used

• google/flan-t5-base: An instruction-tuned model that supports summarization, question answering, translation, and more.