metadata

title: Text Summarizer
emoji: 📄➡️✂️
colorFrom: green
colorTo: purple
sdk: gradio
sdk_version: 5.31.0
app_file: app.py
pinned: false
license: apache-2.0

Text Summarization App 📄✂️

A web-based text summarization tool that uses state-of-the-art NLP models to generate concise summaries from long-form text. Built with Gradio and deployed on Hugging Face Spaces.

🚀 Live Demo

Try the app: text-summarization

✨ Features

Instant Summarization: Generate concise summaries from lengthy text in seconds
Clean Interface: Intuitive web UI built with Gradio
Pre-trained Model: Uses DistilBART-CNN for high-quality summarization
Responsive Design: Works on desktop and mobile devices

🛠️ Technology Stack

Backend: Python, Hugging Face Transformers
Frontend: Gradio
Model: DistilBART-CNN-12-6
Deployment: Hugging Face Spaces

🏃‍♂️ Quick Start

Prerequisites

Python 3.8+
pip

Installation

Clone the repository:

git clone https://github.com/Ashish-Soni08/text-summarization-app.git
cd text-summarization-app

Install dependencies:

pip install -r requirements.txt

Run the application:

python app.py

Open your browser and navigate to http://localhost:7860

📋 Usage

Input Text: Paste or type the text you want to summarize in the input box
Generate Summary: Click the "Submit" button
View Results: The summarized text will appear in the output section

Example

Input:

Artificial Intelligence has been transforming industries across the globe...
[Your example text here]

Output:

AI is rapidly growing and transforming healthcare, finance, and transportation through machine learning advances.

🧠 Model Information

This app uses DistilBART-CNN-12-6 (sshleifer/distilbart-cnn-12-6), a distilled version of Facebook's BART model:

Architecture: 12-layer encoder, 6-layer decoder transformer
Parameters: ~306 million parameters
Training Data: CNN/Daily Mail dataset
Performance: Rouge-2: 21.26, Rouge-L: 30.59
Speed: ~1.24x faster than full BART-large while maintaining competitive quality

📁 Project Structure

text-summarization-app/
├── app.py                 # Main Gradio application
├── requirements.txt       # Python dependencies
├── README.md             # Project documentation

📄 License

This project is licensed under the Apache License 2.0

🙏 Acknowledgments

Hugging Face for the Transformers library and model hosting
Gradio for the web interface framework
Original BART paper authors for the foundational research

📞 Contact

Ashish Soni - [email protected]

Project Link: text-summarization