rahulnayak28 / QuickCheck

Fast text summarization app.

Quick Check Summarization App

This is a simple web application built with Streamlit that allows users to enter text and generate a summary using the T5 model from the Hugging Face Transformers library.

Usage

1. Clone this repository to your local machine: git clone https://github.com/rahulnayak28/QuickCheck
2. Navigate to the project directory: cd quick-text-summarization-app
3. Run the Streamlit app: streamlit run app.py
4. Open your web browser and go to http://localhost:8501 to use the application.

Features

Enter text in the provided text input area.
Click the "Summarize" button to generate a summary of the entered text.

License

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

Acknowledgments

• This app uses the Hugging Face Transformers library for text summarization.
• Streamlit made it easy to create the user interface.

Author

Rahul Nayak

Prerequisites

Before you begin, ensure you have the following libraries installed:

• Streamlit
• Torch
• Transformers (Hugging Face)

You can install them using pip:

pip install streamlit torch transformers