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| title: AI Text Summarizer | |
| emoji: 📝 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: docker | |
| app_port: 7860 | |
| pinned: false | |
| # AI Text Summarizer (Bart-Large) | |
| An intelligent, web-based application that leverages Transformer-based Deep Learning to transform long, complex articles into concise, meaningful summaries. This project uses the facebook/bart-large-cnn model to provide high-quality, abstractive summarization. | |
| ### Overview :- | |
| Reading through massive blocks of text is time-consuming. This tool aims to solve the "Information Overload" problem by providing a user-friendly interface where users can paste up to 1024 words and receive a human-like summary in seconds. | |
| Unlike basic extractive summarizers that just copy sentences, this app uses Abstractive Summarization, meaning the AI understands the context and "rewrites" the summary in its own words. | |
| ### Key Features :- | |
| Deep Learning Backend: Powered by the 1.6GB BART-Large model for superior accuracy. | |
| Intelligent Post-Processing: Custom Python logic to handle sentence capitalization and proper noun preservation (e.g., keeping "James Webb" capitalized). | |
| Dynamic Summary Length: Forced minimum word counts to ensure summaries are detailed and informative rather than just one-liners. | |
| Modern Web UI: A clean, responsive interface built with Flask and CSS. |