--- 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"