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.
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.
- 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.
- Clone this repository to your local machine.
- Ensure you have Python 3.x installed.
- Install the required dependencies using pip:
pip install -r requirements.txt
- Run the
summarizer.py
script using Python:python summarizer.py
- Follow the on-screen instructions to start summarizing notes or change settings.
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.
Contributions are welcome! If you have any suggestions, feature requests, or bug reports, please open an issue or submit a pull request.
This project is licensed under the MIT License - see the LICENSE file for details.