Update app.py

app.py

@@ -15,7 +15,7 @@ with open('best_model.pth', 'wb') as f:
     f.write(model_content)
 
 # Load your custom model onto the CPU
-model = torch.hub.load('ultralytics/yolov5', 'custom', path='best_model.pth')
+model = torch.hub.load('ultralytics/yolov5', 'custom', path='best_model.pth', force_reload=True)
 model.eval()
 
 # Define a function that takes an image as input and uses the model for inference