BART Text Summarizer

Overview

The BART Text Summarizer is a tool that uses the BART (Bidirectional and Auto-Regressive Transformers) model to generate concise summaries of long texts. This project leverages the power of transformer models to understand and condense text while retaining the original meaning.

Features

• Summarizes long texts into shorter, coherent summaries.
• Utilizes the BART model for high-quality text summarization.
• Easy to use with a simple interface.

Installation

To install the necessary dependencies, run:

pip install -r requirements.txt

Usage

To summarize a text, use the following command:

python summarize.py --input <input_file> --output <output_file>

• <input_file>: Path to the input text file.
• <output_file>: Path to save the summarized text.

Example

python summarize.py --input article.txt --output summary.txt

Requirements

• Python 3.6+
• Transformers library
• PyTorch

License

This project is licensed under the MIT License.

Acknowledgements

• The BART model is developed by Facebook AI.
• This project is inspired by the Hugging Face transformers library.

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.