---
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
```bash
pip install -r requirements.txt
python app.py
```

## ✨ Model Used
- [google/flan-t5-base](https://huggingface.co/google/flan-t5-base): An instruction-tuned model that supports summarization, question answering, translation, and more.