README.md

---
title: AutoPR
emoji: 🚀
colorFrom: blue
colorTo: green
sdk: gradio
app_file: app.py
pinned: false
python_version: 3.11
---
<p align="center">
  <h1 align="center">🎯 PRAgent: A Modular Agentic Framework for Paper-to-PR Conversion</h1>
  <p align="center">
    <a href="https://github.com/LightChen233/AutoPR">
      <img alt="AutoPR" src="https://img.shields.io/badge/Project-AutoPR-FF8000" />
    </a>
    <a href="https://huggingface.co/datasets/yzweak/PRBench">
      <img alt="HF Dataset" src="https://img.shields.io/badge/HF-PRBench-blue" />
    </a>
    <a href="https://huggingface.co/spaces/yzweak/AutoPR">
      <img alt="Demo" src="https://img.shields.io/badge/Space-PRAgent-8A2BE2" />
    </a>
    <a href="https://github.com/LightChen233/AutoPR/issues">
      <img alt="Issues" src="https://img.shields.io/github/issues/LightChen233/AutoPR?color=0088ff" />
    </a>
  </p>
</p>

<p align="center">
  <b>
    | <a href="https://huggingface.co/papers/2510.09558">📝 Paper</a> |
    <a href="https://github.com/LightChen233/AutoPR">📚 Code</a> |
    <a href="https://huggingface.co/datasets/yzweak/PRBench">🤗 Dataset</a> |
    <a href="https://huggingface.co/spaces/yzweak/AutoPR">🔥 PRAgent Demo</a> |
  </b>
</p>

As the volume of peer-reviewed research surges, scholars increasingly rely on social platforms for discovery, while authors invest significant effort in promotion to sustain visibility and citations. This project aims to address that challenge.

To accomplish this, we developed **PRAgent**, a modular agentic framework for automatically transforming research papers into promotional posts optimized for specific social media platforms.