Automated Text Summarization

Overview

This is an AI-based text summarization tool that leverages transformers, PyTorch, and T5 model for generating concise summaries from large text inputs.
It includes a Tkinter GUI, allowing users to interact with the model easily.

Features

• Extractive and abstractive text summarization
• Transformer-based approach using T5
• GUI built with Tkinter

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Installation

To get started with this project, follow these steps:

1. Clone the Repository

git clone https://github.com/sourabh1111111/Automated-Text-Summarization.git
cd Automated-Text-Summarization

2. Set Up a Virtual Environment (Conda)

If you are using Conda, create and activate a virtual environment using the following commands:

conda create -p venv python==3.10 -y  
conda activate venv  

3. Install Dependencies

Once the virtual environment is activated, install the required dependencies:

pip install -r requirements.txt  

4. Run the Project

To start using the text summarization model, run on vscode or other:

Now you're ready to use the Automated Text Summarization model! 🚀