TextCondenser is a Python-based text summarization engine that uses Transformer models to distill key information from extensive text sources.

1. Ensure you have Python 3.x installed on your system.
2. Install the required dependencies using the following command: pip install -r requirements.txt
3. Place your input text in the data/input_text.txt file.
4. Run the main.py script to generate a summary: python main.py
5. The generated summary will be saved in data/summaries/summary.txt.

• transformers>=4.11.3: For Transformer model implementation.
• torch>=1.10.0: PyTorch deep learning library.
• numpy>=1.21.2: Fundamental package for numerical computing.