update model path

app.py

@@ -7,7 +7,7 @@ import gradio as gr
 device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
 
 model = ResNetLungCancer(num_classes=4)
-model.load_state_dict(torch.load('Model/lung_cancer_detection_model.pth', map_location=device))
+model.load_state_dict(torch.load('lung_cancer_detection_model.pth', map_location=device))
 model = model.to(device)
 model.eval()