# Changelog

All notable changes to this project will be documented in this file.

The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).

## [Unreleased]

### Added
- Initial project setup and documentation

## [1.0.0] - 2025-01-17

### Added
- 📝 **Core Features**
  - PDF file upload and text extraction using PyPDF2
  - Direct text input for summarization
  - AI-powered summarization using Hugging Face Transformers (BART, T5, DistilBART)
  - Bullet-point formatted summary output
  - Real-time progress indicators during processing

- 🎨 **User Interface**
  - Clean Streamlit web interface
  - Tabbed layout for PDF upload and text input
  - Model selection dropdown (BART, T5, DistilBART)
  - Summary length customization (Short, Medium, Long)
  - Statistics display (word count, compression ratio)
  - Download functionality for generated summaries

- 🐳 **Docker Support**
  - Multi-stage Dockerfile for optimized builds
  - Docker Compose configuration for easy deployment
  - Development Docker setup with live reload
  - Production-optimized Docker configuration
  - Comprehensive Docker documentation

- 🛠️ **Development Tools**
  - Modular code architecture with separate modules
  - Comprehensive error handling and user feedback
  - Basic testing framework
  - Docker build and run scripts
  - Development environment setup

- 📚 **Documentation**
  - Detailed README with installation and usage instructions
  - Docker deployment guide
  - Troubleshooting section
  - API documentation for modules

- 🔒 **Security & Performance**
  - Non-root Docker container execution
  - Input validation and file size limits
  - Model caching for improved performance
  - Resource limits and health checks

### Technical Details
- **Backend**: Python 3.8+, Streamlit, Hugging Face Transformers, PyTorch
- **AI Models**: BART (facebook/bart-large-cnn), T5, DistilBART
- **PDF Processing**: PyPDF2 with comprehensive error handling
- **Containerization**: Docker with multi-stage builds
- **Architecture**: Modular design with separate PDF processing and summarization modules

### Dependencies
- streamlit>=1.28.0
- transformers>=4.35.0
- torch>=2.0.0
- PyPDF2>=3.0.1
- Additional utilities for text processing and acceleration

---

## Release Notes

### Version 1.0.0 Highlights

🎉 **Initial Release** - NoteSnap is now available!

This first release provides a complete solution for document summarization with:
- **Easy-to-use web interface** built with Streamlit
- **Multiple AI models** for different use cases and performance needs
- **Docker support** for consistent deployment across environments
- **Comprehensive documentation** for users and developers

### Supported Platforms
- **Local Installation**: Windows, macOS, Linux with Python 3.8+
- **Docker**: Any platform supporting Docker containers
- **Cloud Deployment**: Compatible with cloud platforms supporting Docker

### Known Limitations
- PDF processing limited to text-based documents (no OCR for scanned images)
- Maximum file size limit of 10MB for PDF uploads
- Internet connection required for initial model downloads
- GPU acceleration optional but recommended for better performance

### Upcoming Features (Roadmap)
- 📱 Mobile-responsive interface improvements
- 🔍 OCR support for scanned PDF documents
- 🌐 Multi-language summarization support
- 📊 Advanced analytics and summary quality metrics
- 🔗 API endpoints for programmatic access
- 📱 Progressive Web App (PWA) capabilities

---

## Migration Guide

### From Development to Production
When deploying to production:

1. **Use Docker Compose**:
   ```bash
   docker-compose up -d
   ```

2. **Configure Environment Variables**:
   - Copy `.env.example` to `.env`
   - Adjust settings for your environment

3. **Set Resource Limits**:
   - Ensure adequate memory (4GB+ recommended)
   - Configure CPU limits based on expected load

### Updating Dependencies
To update to newer versions:

```bash
# Update Python packages
pip install -r requirements.txt --upgrade

# Rebuild Docker image
docker-compose build --no-cache
```

---

## Support

For questions, issues, or contributions:
- 🐛 [Report Issues](https://github.com/PRATEEK-260/NoteSnap/issues)
- 💬 [Discussions](https://github.com/PRATEEK-260/NoteSnap/discussions)

---

**Thank you for using NoteSnap!** 🎉