README.md

---
title: Text Summarizer
emoji: 📚
colorFrom: gray
colorTo: indigo
sdk: gradio
sdk_version: 5.42.0
app_file: app.py
pinned: false
license: mit
---

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference


# Multi-Model Summarizer (Gradio)

This Gradio app runs two Hugging Face summarization models (fast + quality) and returns paragraph or bullet-point summaries.
Models used by default: DistilBART (fast) + BART-large (quality). Use T5-small or Pegasus pair for lighter CPU usage.

## How to deploy to Hugging Face Spaces

1. Create a new Space on https://huggingface.co/spaces
   - Click "New Space"
   - Choose `Gradio` as SDK
   - Choose hardware: `CPU` or request `GPU` (recommended for bart-large)

2. Clone the Space repo locally (after creating it):
   ```bash
   git lfs install
   git clone https://huggingface.co/spaces/<YOUR_USERNAME>/<REPO_NAME>
   cd <REPO_NAME>