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| title: NoteSnap | |
| emoji: 📝 | |
| colorFrom: blue | |
| colorTo: indigo | |
| sdk: streamlit | |
| sdk_version: "1.28.0" | |
| app_file: app.py | |
| pinned: false | |
| # 📝 NoteSnap | |
| A powerful web application that transforms lengthy documents and notes into concise, bullet-point summaries using state-of-the-art AI models. | |
| ## Features | |
| - **PDF Processing**: Upload PDF files and extract text content automatically | |
| - **Direct Text Input**: Paste text content directly for immediate summarization | |
| - **AI-Powered Summarization**: Uses Hugging Face Transformers (BART, T5) for high-quality summaries | |
| - **Bullet-Point Format**: Clean, readable bullet-point summaries | |
| - **Multiple AI Models**: Choose from different pre-trained models | |
| - **Customizable Length**: Adjust summary length (Short, Medium, Long) | |
| - **Download Summaries**: Save generated summaries as text files | |
| ## Usage | |
| 1. Upload a PDF or paste text | |
| 2. Choose your AI model and summary length | |
| 3. Click Summarize | |
| 4. Download your summary | |
| ## Tech Stack | |
| - Streamlit | |
| - Hugging Face Transformers | |
| - PyTorch | |
| - PyPDF2 |