This project demonstrates the use of a pre-trained BART model for text summarization using the Hugging Face Transformers library. It includes a web application to input text and get summarized output. This project showcases my ability to work with state-of-the-art NLP models, build and deploy web applications.

• src/: Source code for the text summarizer.
• webapp/: Flask web application for summarizing text.
• requirements.txt: Project dependencies.
• README.md: Project documentation.

1. Clone the repository:

   git clone https://github.com/your-username/SmartSummarizer.git
   cd SmartSummarizer

2. Install the required packages:

   pip install -r requirements.txt

To run the web application, run:

python app.py