import gradio as gr

def create_demo():
    title = "🔬 EndoSight AI - Development Preview"
    
    description = """
## Advanced Gastrointestinal Polyp Detection & Analysis System

**Performance Metrics:**
- **88% mAP\\@0.5** detection accuracy
- **75.6% Dice Score** segmentation accuracy  
- **35+ FPS** real-time processing
- **YOLOv8 + U-Net** dual architecture with intelligent stabilization

### 🏥 Clinical Capabilities
- Real-time polyp detection and localization with smooth tracking
- Precise boundary segmentation with fluid heatmap visualization
- Intelligent measurement system with anti-fluctuation technology
- Automated size classification and risk assessment
- Optimized for endoscopy workflow integration

### 🎯 Technical Highlights
- **Multi-modal AI**: Combined object detection and segmentation
- **Clinical-grade performance**: Sub-second processing times
- **Intelligent measurement**: Size, area, and morphometric analysis with temporal stabilization
- **Adaptive visualization**: Real-time heatmaps that adjust to camera movement
- **Real-time inference**: GPU-accelerated deployment ready

---

## 🎥 Live System Demonstration

**Real-time EndoSight AI in action** - showcasing automated polyp detection, intelligent segmentation, stabilized measurement analysis, and clinical classification on endoscopy footage.
"""
    
    footer = """
---

## 🚀 Development Status & Impact

✅ **Model Training**: Complete with validation metrics achieved  
🔄 **Clinical Integration**: Active collaboration with gastroenterology clinic  
📊 **Performance**: Production-ready accuracy and speed benchmarks  
🎯 **Target**: Characterization of neoplastic versus non-neoplastic lesions

### 🤝 Research Collaboration

**Alumnus of**: Universidad Central de Venezuela
**Research Focus**: AI-Assisted Endoscopy & Computer-Aided Diagnosis  

### 📞 Professional Contact

**Technical Lead**: Daniel Cavadia  
**Email**: [dan.cavadia@gmail.com](mailto:dan.cavadia@gmail.com)  

---

⚕️ **Medical Disclaimer**: *Research prototype under clinical validation - not intended for diagnostic use.*
"""

    # Create simple interface using Gradio 3.34.0 syntax
    with gr.Blocks(title="EndoSight AI") as demo:
        gr.Markdown(f"# {title}")
        gr.Markdown(description)
        
        # Simple video display (no fancy features in older version)
        video = gr.Video(
            value="demo_video.mp4",
            label="EndoSight AI Real-time Detection & Segmentation with Intelligent Measurements"
        )
        
        gr.Markdown("""
### 🔍 What You're Seeing:
- **Yellow bounding boxes**: Real-time polyp detection with smooth tracking
- **Fluid heatmaps**: Dynamic segmentation visualization that adapts to movement
- **Bottom-left panels**: Stabilized measurement displays with clinical classifications
- **Size categories**: Diminutive (<5mm), Small (5-9mm), Large (≥10mm) classifications
- **Risk assessment**: Low/Moderate/High risk indicators based on polyp size
- **Measurement accuracy**: Diameter and area calculations with error margins
- **Anti-fluctuation**: Intelligent system prevents measurement swings during camera movement
- **Processing metrics**: Real-time FPS and confidence indicators
- **Multi-polyp detection**: Simultaneous analysis capability with unique tracking IDs
""")
        
        gr.Markdown(footer)
    
    return demo

if __name__ == "__main__":
    demo = create_demo()
    demo.launch()