---
title: Text Summarizer
emoji: 📄➡️✂️
colorFrom: green
colorTo: purple
sdk: gradio
sdk_version: 4.41.0
app_file: app.py
pinned: false
license: afl-3.0
---

# Text Summarization App

This application provides a simple interface to summarize text using a pre-trained model from Hugging Face's Transformers library. The model used under the hood is `DISTILBART-12-6-CNN`, a distilled version of BART fine-tuned on the CNN/Daily Mail dataset.

## Features

- **Text Summarization**: Generate concise summaries of input text.
- **User-Friendly Interface**: Built using Gradio for an easy-to-use web interface.

## Model

- **Model Used**: [DISTILBART-12-6-CNN](https://huggingface.co/sshleifer/distilbart-cnn-12-6)
- **Framework**: Hugging Face Transformers

## Software Packages

- **Gradio**: Used to create the web interface.
- **Transformers**: Used for model inference.
- **Spaces**: Utilized for GPU acceleration during model execution.

## How to Use

1. Enter the text you want to summarize in the provided textbox.
2. Click "Submit" to generate a summary.
3. The summarized text will be displayed in the output box.