Update README.md

README.md

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-# Driver Drowsiness Detection System
-
-This is a real-time driver drowsiness detection system that uses computer vision and deep learning to detect signs of drowsiness in drivers. The system can process webcam feeds, video files, and single images.
-
-## Features
-
-- Real-time webcam monitoring
-- Video file processing
-- Single image analysis
-- Face detection and drowsiness prediction
-- Visual feedback with bounding boxes and status indicators
-
-## How to Use
-
-1. **Webcam Mode**: Click the "Start Webcam" button to begin real-time monitoring
-2. **Video Mode**: Upload a video file for processing
-3. **Image Mode**: Upload a single image for analysis
-
-The system will display the results with:
-- Green box: Alert (not drowsy)
-- Red box: Drowsy
-- Probability score for drowsiness
-
-## Technical Details
-
-- Built with PyTorch and Vision Transformer (ViT)
-- Uses OpenCV for face detection
-- Gradio interface for easy interaction
-- Real-time processing capabilities
-
-## Model
-
+---
+title: Driver Drowsiness Detection
+emoji: 🚗
+colorFrom: blue
+colorTo: indigo
+sdk: gradio
+sdk_version: 3.50.2
+app_file: app.py
+pinned: false
+---
+
+# Driver Drowsiness Detection System
+
+This is a real-time driver drowsiness detection system that uses computer vision and deep learning to detect signs of drowsiness in drivers. The system can process webcam feeds, video files, and single images.
+
+## Features
+
+- Real-time webcam monitoring
+- Video file processing
+- Single image analysis
+- Face detection and drowsiness prediction
+- Visual feedback with bounding boxes and status indicators
+
+## How to Use
+
+1. **Webcam Mode**: Click the "Start Webcam" button to begin real-time monitoring
+2. **Video Mode**: Upload a video file for processing
+3. **Image Mode**: Upload a single image for analysis
+
+The system will display the results with:
+- Green box: Alert (not drowsy)
+- Red box: Drowsy
+- Probability score for drowsiness
+
+## Technical Details
+
+- Built with PyTorch and Vision Transformer (ViT)
+- Uses OpenCV for face detection
+- Gradio interface for easy interaction
+- Real-time processing capabilities
+
+## Model
+
 The system uses a Vision Transformer (ViT) model trained on driver drowsiness detection. The model is capable of detecting subtle signs of drowsiness in facial expressions.