Update app.py

app.py

@@ -102,108 +102,3 @@ def main():
 
 if __name__ == "__main__":
     main()
-
-# requirements.txt
-"""
-opencv-python>=4.5.0
-gradio>=4.0.0
-numpy>=1.21.0
-scipy>=1.7.0
-google-generativeai>=0.3.0
-mediapipe>=0.10.0  # Optional for enhanced detection
-"""
-
-# README.md
-"""
-# 🚗 AI Driver Drowsiness Detection System
-
-A real-time drowsiness detection system using computer vision and AI-powered alerts.
-
-## ✨ Features
-
-- **No External Downloads**: Uses OpenCV's built-in face detection models
-- **Real-time Processing**: WebRTC streaming for low latency
-- **Multi-modal Detection**: Eyes, mouth, and head pose analysis
-- **AI Voice Alerts**: Contextual messages powered by Gemini AI
-- **Adaptive System**: Graceful fallback without external dependencies
-- **Easy Setup**: Simple pip install, no model downloads required
-
-## 🚀 Quick Start
-
-1. **Install dependencies:**
-   ```bash
-   pip install opencv-python gradio numpy scipy google-generativeai
-   
-   # Optional for enhanced detection:
-   pip install mediapipe
-   ```
-
-2. **Run the system:**
-   ```bash
-   python main.py
-   ```
-
-3. **Open browser** and navigate to the provided URL
-
-4. **Optional**: Enter Gemini API key for AI-powered voice alerts
-
-## 🔧 How It Works
-
-### Detection Methods
-- **Primary**: MediaPipe Face Mesh (if available) for precise landmarks
-- **Fallback**: OpenCV Haar Cascades for basic face/eye/mouth detection
-- **Hybrid Approach**: Automatically selects best available method
-
-### Drowsiness Indicators
-- **Eye Aspect Ratio (EAR)**: Detects eye closure patterns
-- **Mouth Aspect Ratio (MAR)**: Identifies yawning behavior
-- **Head Pose**: Tracks head nodding and position
-
-### Alert System
-- **AI-Generated**: Contextual messages via Gemini
-- **Audio Alerts**: Attention-grabbing beep patterns
-- **Visual Feedback**: Real-time overlay on video stream
-- **Smart Cooldown**: Prevents alert spam
-
-## ⚙️ Configuration
-
-### Detection Thresholds
-- **EAR Threshold**: 0.20 (adjustable for sensitivity)
-- **MAR Threshold**: 0.8 (calibrated for yawn detection)
-- **Head Nod**: 20° deviation threshold
-- **Alert Cooldown**: 8 seconds between alerts
-
-### Performance Optimization
-- **Stream Rate**: 10 FPS processing (configurable)
-- **Queue Management**: Prevents frame backlog
-- **Multi-threading**: Separate processing pipeline
-- **Graceful Degradation**: Maintains functionality with limited resources
-
-## 🛡️ Safety Notice
-
-**This system is for demonstration and research purposes only.**
-
-- Not a substitute for responsible driving practices
-- Always pull over safely if feeling drowsy
-- Use as supplementary tool alongside other safety measures
-- Ensure proper camera setup and lighting
-
-## 📋 System Requirements
-
-- **Python**: 3.7+
-- **Camera**: Webcam or built-in camera
-- **OS**: Windows, macOS, Linux
-- **RAM**: 4GB+ recommended
-- **CPU**: Multi-core recommended for real-time processing
-
-## 🔍 Troubleshooting
-
-- **No face detected**: Check lighting and camera position
-- **Poor detection**: Ensure face is clearly visible and well-lit
-- **High CPU usage**: Reduce stream rate or video resolution
-- **Audio issues**: Check browser permissions and audio settings
-
-## 📝 License
-
-MIT License - See LICENSE file for details
-"""