README.md

---
title: Igcs Demo
emoji: 🏢
colorFrom: green
colorTo: gray
sdk: gradio
sdk_version: 5.38.0
app_file: app.py
python_version: 3.11
pinned: false
license: apache-2.0
short_description: 'Demo: Unifying Scheme for Extractive Content Selection Tasks'
---

[![arXiv](https://img.shields.io/badge/arXiv-2507.16922-B31B1B.svg)](http://arxiv.org/abs/2507.16922) [![PyPI](https://img.shields.io/pypi/v/igcs.svg)](https://pypi.org/project/igcs/) [![GitHub Stars](https://img.shields.io/github/stars/shmuelamar/igcs.svg?style=social)](https://github.com/shmuelamar/igcs)

## 🚀 Welcome to the IGCS Live Demo!

This is a demo for the paper titled [**“A Unifying Scheme for Extractive Content Selection Tasks”**][arxiv-paper] — try Instruction‑Guided Content Selection on **any**
text or code: use the demo text or upload your document, enter an instruction, choose a model, and hit **Submit** to see the most relevant spans highlighted!

🔍 Learn more in our [paper][arxiv-paper] and explore the full [GitHub repo](https://github.com/shmuelamar/igcs) ⭐. Enjoy! 🎉

[arxiv-paper]: http://arxiv.org/abs/2507.16922 "A Unifying Scheme for Extractive Content Selection Tasks"