🔧 Update OCR model in handlers.py and clean up README.md

✅ Changes:
- Updated OCR model from "microsoft/Florence-2-base" to "microsoft/Florence-2-large" for improved performance.
- Removed outdated architecture and deployment sections from README.md for clarity and conciseness.

🚀 This enhances the application's capabilities and streamlines documentation.

README.md

@@ -14,7 +14,6 @@ license: mit
 
 [![Deploy to HuggingFace](https://img.shields.io/badge/🤗-Deploy%20to%20Spaces-blue)](https://huggingface.co/spaces/GoConqurer/textlens-ocr)
 [![GitHub](https://img.shields.io/badge/GitHub-Repository-green)](https://github.com/KumarAmrit30/textlens-ocr)
-[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)
 [![Python 3.9+](https://img.shields.io/badge/python-3.9+-blue.svg)](https://www.python.org/downloads/)
 
 A state-of-the-art Vision-Language Model (VLM) based OCR application that extracts text from images using Microsoft Florence-2 with intelligent fallback systems and enterprise-grade zero downtime deployment.
@@ -56,29 +55,6 @@ A state-of-the-art Vision-Language Model (VLM) based OCR application that extrac
 - **Graceful Shutdown**: Signal handling for clean application restarts
 - **Production Ready**: Scalable architecture with automated deployment
 
-## 🏗️ Architecture
-
-```
-textlens-ocr/
-├── 📱 Frontend (Gradio UI)
-│   ├── ui/interface.py      # Main interface components
-│   ├── ui/handlers.py       # Event handlers & logic
-│   └── ui/styles.py         # CSS styling & themes
-├── 🧠 AI Models
-│   └── models/ocr_processor.py  # OCR engine with fallbacks
-├── 🔧 Utilities
-│   └── utils/image_utils.py     # Image preprocessing
-├── 🚀 Deployment
-│   ├── .github/workflows/       # CI/CD pipelines
-│   ├── scripts/deploy.py        # Manual deployment tools
-│   └── deployment.config.yml    # Deployment configuration
-├── 📚 Documentation
-│   ├── README.md               # Main documentation
-│   └── DEPLOYMENT.md           # Deployment guide
-└── ⚙️ Configuration
-    ├── app.py                  # Main application entry
-    └── requirements.txt        # Dependencies
-```
 
 ## 🚀 Quick Start
 
@@ -172,41 +148,7 @@ INTERFACE_WIDTH = "100%"
 | `TRANSFORMERS_CACHE`   | Model cache path     | `~/.cache/huggingface` |
 | `CUDA_VISIBLE_DEVICES` | GPU selection        | All available          |
 
-## 🚀 Deployment
-
-### 🤗 HuggingFace Spaces (Recommended)
-
-**Automatic Deployment:**
-
-1. Fork this repository
-2. Push to `main`/`master` branch
-3. GitHub Actions automatically deploys to HuggingFace Spaces
-4. Access your deployed app at: `https://huggingface.co/spaces/USERNAME/textlens-ocr`
-
-**Manual Deployment:**
-
-1. Go to [GitHub Actions](https://github.com/KumarAmrit30/textlens-ocr/actions)
-2. Select "Deploy to HuggingFace Spaces"
-3. Click "Run workflow"
-4. Choose deployment type:
-   - **Direct**: Quick deployment to production
-   - **Blue-Green**: Zero downtime with staging validation
-
-### 🔄 Zero Downtime Deployment
-
-Our enterprise-grade deployment system ensures **zero downtime** for users:
 
-**Features:**
-
-- 🔵 **Blue-Green Deployment**: Test in staging before production
-- 🏥 **Health Monitoring**: Automatic health checks with retry logic
-- 🔄 **Graceful Shutdown**: Clean application restarts
-- 📊 **Real-time Monitoring**: Deployment status tracking
-
-**Health Endpoints:**
-
-- `GET /health` - Application health status
-- `GET /ready` - Application readiness check
 
 **Deployment Flow:**
 
@@ -220,170 +162,6 @@ graph LR
     F --> G[Complete ✅]
 ```
 
-### 🐳 Docker Deployment
-
-```dockerfile
-FROM python:3.9-slim
-
-WORKDIR /app
-COPY requirements.txt .
-RUN pip install -r requirements.txt
-
-COPY . .
-EXPOSE 7860
-
-CMD ["python", "app.py"]
-```
-
-Build and run:
-
-```bash
-docker build -t textlens-ocr .
-docker run -p 7860:7860 textlens-ocr
-```
-
-### ☁️ Cloud Platforms
-
-| Platform               | Status        | Guide                                                               |
-| ---------------------- | ------------- | ------------------------------------------------------------------- |
-| **HuggingFace Spaces** | ✅ Ready      | [Deploy Now](https://huggingface.co/spaces/GoConqurer/textlens-ocr) |
-| **Google Colab**       | ✅ Compatible | Open in Colab                                                       |
-| **AWS/GCP/Azure**      | 🔧 Docker     | Use Docker deployment                                               |
-| **Heroku**             | ⚠️ Limited    | GPU not available                                                   |
-
-## 🧪 Testing & Development
-
-### 🔍 Running Tests
-
-```bash
-# Basic functionality test
-python -c "
-from models.ocr_processor import OCRProcessor
-ocr = OCRProcessor()
-print(f'✅ Model loaded: {ocr.get_model_info()}')
-"
-
-# Test with sample image
-python -c "
-from PIL import Image
-from models.ocr_processor import OCRProcessor
-import requests
-
-# Download test image
-img_url = 'https://via.placeholder.com/300x100/000000/FFFFFF?text=Hello+World'
-image = Image.open(requests.get(img_url, stream=True).raw)
-
-# Test OCR
-ocr = OCRProcessor()
-result = ocr.extract_text(image)
-print(f'✅ OCR Result: {result}')
-"
-```
-
-### 🛠️ Development Tools
-
-```bash
-# Install development dependencies
-pip install -r requirements.txt
-
-# Format code
-black . --line-length 88
-
-# Type checking
-mypy models/ utils/ ui/
-
-# Lint code
-flake8 --max-line-length 88
-```
-
-## 📚 API Reference
-
-### OCRProcessor Class
-
-```python
-from models.ocr_processor import OCRProcessor
-
-# Initialize processor
-ocr = OCRProcessor(
-    model_name="microsoft/Florence-2-base",  # Model selection
-    device=None,                             # Auto-detect device
-    torch_dtype=None                         # Auto-select dtype
-)
-
-# Extract text from image
-text = ocr.extract_text(image)
-# Returns: str
-
-# Extract text with bounding boxes
-result = ocr.extract_text_with_regions(image)
-# Returns: dict with text and regions
-
-# Get model information
-info = ocr.get_model_info()
-# Returns: dict with model details
-
-# Cleanup resources
-ocr.cleanup()
-```
-
-### Health Check API
-
-```bash
-# Check application health
-curl https://huggingface.co/spaces/GoConqurer/textlens-ocr/health
-
-# Response:
-{
-  "status": "healthy",
-  "timestamp": 1640995200,
-  "version": "1.0.0",
-  "environment": "production"
-}
-
-# Check readiness
-curl https://huggingface.co/spaces/GoConqurer/textlens-ocr/ready
-
-# Response:
-{
-  "status": "ready",
-  "timestamp": 1640995200
-}
-```
-
-## 🚨 Troubleshooting
-
-### Common Issues
-
-| Issue                   | Symptoms                 | Solution                                |
-| ----------------------- | ------------------------ | --------------------------------------- |
-| **Model Loading Error** | ImportError, CUDA errors | Check GPU drivers, install CUDA toolkit |
-| **Memory Error**        | Out of memory            | Reduce batch size, use CPU inference    |
-| **SSL Certificate**     | SSL errors on macOS      | Run certificate update command          |
-| **Permission Error**    | File access denied       | Check file permissions, run as admin    |
-
-### Debug Commands
-
-```bash
-# Check CUDA availability
-python -c "import torch; print(f'CUDA: {torch.cuda.is_available()}')"
-
-# Check transformers version
-python -c "import transformers; print(f'Transformers: {transformers.__version__}')"
-
-# Test health endpoint locally
-curl http://localhost:7860/health
-
-# View application logs
-tail -f textlens.log
-```
-
-### Getting Help
-
-1. 📋 **Check existing issues**: [GitHub Issues](https://github.com/KumarAmrit30/textlens-ocr/issues)
-2. 🆕 **Create new issue**: Provide error details and environment info
-3. 💬 **Join discussion**: [GitHub Discussions](https://github.com/KumarAmrit30/textlens-ocr/discussions)
-4. 📧 **Contact**: Create an issue for direct support
-
 ## 🤝 Contributing
 
 We welcome contributions! Here's how to get started:
@@ -462,25 +240,6 @@ Special thanks to:
 | **API**           | ✅ Stable     | v1.0.0  |
 | **Documentation** | ✅ Complete   | v1.0.0  |
 
-### 🎯 Roadmap
-
-- [ ] **Multi-language UI** support
-- [ ] **Batch processing** for multiple images
-- [ ] **API rate limiting** and authentication
-- [ ] **Custom model** fine-tuning support
-- [ ] **Mobile app** development
-- [ ] **Cloud storage** integration
-
-## 📞 Support & Community
-
-### 🔗 Links
-
-- **🏠 Homepage**: [GitHub Repository](https://github.com/KumarAmrit30/textlens-ocr)
-- **🚀 Live Demo**: [HuggingFace Spaces](https://huggingface.co/spaces/GoConqurer/textlens-ocr)
-- **📋 Issues**: [Report Bugs](https://github.com/KumarAmrit30/textlens-ocr/issues)
-- **💬 Discussions**: [GitHub Discussions](https://github.com/KumarAmrit30/textlens-ocr/discussions)
-- **📖 Documentation**: [Deployment Guide](DEPLOYMENT.md)
-
 ### 📊 Stats
 
 ![GitHub stars](https://img.shields.io/github/stars/KumarAmrit30/textlens-ocr?style=social)

ui/handlers.py

@@ -16,7 +16,7 @@ def initialize_ocr_processor():
     global ocr_processor
     try:
         logger.info("Initializing OCR processor...")
-        ocr_processor = OCRProcessor(model_name="microsoft/Florence-2-base")
+        ocr_processor = OCRProcessor(model_name="microsoft/Florence-2-large")
         return True
     except Exception as e:
         logger.error(f"Failed to initialize OCR processor: {str(e)}")