AI Text Summarizer

AI Text Summarizer screenshot 1
AI Text Summarizer screenshot 2
AI Text Summarizer screenshot 3

Technology Stack

Python, Streamlit, Hugging Face Transformers, PyTorch

Project Overview

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.

Features & Highlights

Feature 1

Streamlit-based UI for model selection (BART/T5) and text input.

Feature 2

Advanced summarization output with ROUGE-like performance metrics.

Feature 3

Stateful session history for tracking and exporting previous summaries.