metadata

title: Text Summarizer
emoji: 🏢
colorFrom: gray
colorTo: gray
sdk: gradio
sdk_version: 5.5.0
app_file: app.py
pinned: false
license: apache-2.0

Text Summarization App

This is a simple app that uses the facebook/bart-large-cnn model from Hugging Face to summarize long-form text. The app takes an article, paper, or book, and summarizes it into key points or a concise paragraph.

Features

Summarizes long text into a short, readable summary.
Works on various kinds of text (articles, papers, books).
Uses Hugging Face's BART model for high-quality summaries.
Provides a simple and user-friendly interface built with Gradio.

How It Works

The user inputs a long-form text (article, paper, or book) in the provided input box.
The app processes the input using the facebook/bart-large-cnn model.
A summarized version of the text is displayed as output.

Setup and Installation

Clone the repository:

git clone https://huggingface.co/spaces/your-username/Text-Summarization-App
cd Text-Summarization-App

Install the dependencies from requirements.txt:
```
pip install -r requirements.txt
```
Run the app locally:
```
python app.py
```
To deploy on Hugging Face Spaces, just upload your code and the necessary files to the Hugging Face Space and it will be ready to use.

Technologies Used

Gradio: For the user interface.
Hugging Face Transformers: For using the pre-trained BART model for summarization.
PyTorch: Deep learning framework used for running the BART model.

Example

Input: "Long article text here..."

Output: "Concise summary of the article here..."

License

This project is licensed under the MIT License - see the LICENSE file for details.

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