AI Text Summarizer

AI Text Summarizer image 1
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Tech Used:  Python, Streamlit, Hugging Face Transformers, PyTorch

The AI Text Summarizer is a sophisticated web application that transforms lengthy articles, documents, and reports into concise summaries using state-of-the-art natural language processing models. Built with Streamlit and Hugging Face Transformers, the application features multiple model support (BART and T5-Small), adjustable summary length controls, text preprocessing options, and comprehensive performance metrics. The interface includes a clean, responsive design with session history tracking, export functionality, and intelligent caching mechanisms for optimal performance. Deployed on Streamlit Cloud, the application demonstrates efficient resource management while maintaining high-quality summarization capabilities suitable for academic, professional, and personal use cases.

Project Snippets

Snippet 1

Main summarization interface with text input and model selection.

Snippet 2

Summary results with performance metrics and compression ratio analysis.

Snippet 3

Session history panel showing previous summarization tasks.