Transform lengthy textual content into concise and meaningful summaries using the power of the Pegasus model. This project focuses on distilling complex information into succinct and coherent summaries, making it a valuable tool for various natural language processing tasks.
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Pegasus Model: Utilizes the advanced Pegasus model for state-of-the-art abstractive summarization.
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Data Versatility: Handles diverse textual data, extracting the most salient information for summarization.
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User-Friendly Interface: Provides an intuitive and easy-to-use interface for summarizing text seamlessly.
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Clone the repository:
git clone https://github.com/CODING-Enthusiast9857/Abstractive_Text_Summarization.git cd Abstractive_Text_Summarization -
Install the required dependencies:
pip install -r requirements.txt
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Run the application:
python main.py
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Explore the power of Pegasus in generating abstractive summaries!
Pegasus has demonstrated remarkable performance in various natural language processing tasks, making it a reliable choice for abstractive summarization. Its ability to capture context, generate fluent summaries, and maintain coherence sets it apart in the realm of text summarization models.
Join our community and contribute to the evolution of abstractive text summarization. Your insights and enhancements can further refine the capabilities of our Pegasus-based summarization model.
- Fork the repository
- Create a new branch (
git checkout -b feature/your-feature) - Commit your changes (
git commit -m 'Add your feature') - Push to the branch (
git push origin feature/your-feature) - Open a pull request
This project is licensed under the MIT License.
Created with 🤍 by Madhavi Sonawane.
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