Summarizer

Summarizer is a Python script that allows you to quickly summarize meeting notes or any other type of text using natural language processing models. It provides both a command-line interface (CLI) and a simple text-based menu for interaction.

Table of Contents

1. Introduction
2. Features
3. Installation
4. Usage
5. Examples
6. Contributing
7. License

Introduction

Summarizer simplifies the process of summarizing lengthy texts such as meeting minutes, project reports, or articles. It leverages transformer-based models from the Hugging Face transformers library to generate concise summaries.

Features

• Summarize meeting notes or any text quickly and efficiently.
• Customize summary length and save summaries to a file.
• Intuitive text-based menu for easy interaction.

Installation

1. Clone this repository to your local machine.
2. Ensure you have Python 3.x installed.
3. Install the required dependencies using pip:

   pip install -r requirements.txt
   

Usage

1. Run the summarizer.py script using Python:

   python summarizer.py
   

2. Follow the on-screen instructions to start summarizing notes or change settings.

Examples

Here are some example use cases for Summarizer:

• Summarize meeting minutes to capture key points quickly.
• Summarize articles or research papers for easier understanding.
• Summarize project reports to share progress updates efficiently.

Contributing

Contributions are welcome! If you have any suggestions, feature requests, or bug reports, please open an issue or submit a pull request.

License

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