Add Multi-Car dataset and update model loading in run.py

- Added the Multi-Car dataset to the Dockerfile for inclusion in the build.
- Updated run.py to pre-load the Multi-Car detection model alongside the State Farm model, enhancing the application's capabilities.

Dockerfile

@@ -30,6 +30,8 @@ COPY samples/ ./samples/
 # Copy State Farm dataset
 COPY datasets/state-farm/ ./datasets/state-farm/
 
+# Copy Multi-Car dataset
+COPY datasets/multi-car/ ./datasets/multi-car/
 # Set environment variables
 ENV PYTHONUNBUFFERED=1
 ENV GRADIO_SERVER_NAME=0.0.0.0

run.py

@@ -56,9 +56,11 @@ if __name__ == "__main__":
     try:
         from app.services.pipeline import get_pipeline
         from app.models.state_farm_model import get_state_farm_detector
+        from app.models.multi_car_detector import get_multi_car_detector
         logger.info("📦 Loading pipeline and all models...")
         pipeline = get_pipeline()  # This will load all models
         state_farm_detector = get_state_farm_detector()  # Pre-load State Farm model
+        multi_car_detector = get_multi_car_detector()  # Pre-load Multi-Car Detection model
         logger.info(f"✅ All models loaded successfully in {time.time() - startup_start:.2f}s")
     except Exception as e:
         logger.warning(f"⚠️  Warning: Could not pre-load models: {e}")