I-Am-SnowFlake/text-summarizer101

📝 Text Summarization with DistilBART

This project demonstrates text summarization using the DistilBART model from Hugging Face Transformers, integrated with Gradio for a user-friendly interface.

🚀 Overview

The application allows users to input text and obtain a concise summary using the DistilBART-CNN-12-6 model. The summarization model is fine-tuned and accessible through the Hugging Face Transformers library.

💻 Usage

To run the text summarization interface locally, follow these steps:

1. 1.Install the required dependencies using pip:

    pip install -r requirements.txt

1. 1.Launch the Gradio interface:

    python app.py

1. 1.Access the interface in your web browser at http://localhost:7860.

📋 Requirements

Ensure you have the following libraries installed (specified in requirements.txt):

• —transformers>=4.36.2
• —diffusers>=0.25.0
• —ctransformers[cuda]>=0.2.24
• —Pillow>=9.3.0
• —gradio
• —streamlit>=1.29.0
• —accelerate>=0.25.0
• —pypdf
• —peft>=0.6.0

🏁 Getting Started

1. 1.Clone this repository:

    git clone https://github.com/your-username/your-repo.git

1. 1.Navigate to the project directory:

    cd your-repo

1. 1.Install the dependencies:

    pip install -r requirements.txt

1. 1.Run the application:

    python app.py

🙌 Acknowledgments

• —This project uses the DistilBART-CNN-12-6 model from Hugging Face Transformers.
• —Gradio is utilized for creating the interactive text summarization interface.

📄 License

This project is licensed under the Apache License 2.0.

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