Update app.py

app.py

@@ -108,7 +108,7 @@ num_classes = 120
 device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
 model = BaseModel(num_classes=num_classes, device=device)
 
-checkpoint = torch.load('/content/drive/Othercomputers/我的 MacBook Pro/Learning/Cats_Dogs_Detector/(120)best_model/best_model_81_dog.pth', map_location=torch.device('cpu'))
+checkpoint = torch.load('best_model_81_dog.pth', map_location=torch.device('cpu'))
 model.load_state_dict(checkpoint['model_state_dict'])
 
 # evaluation mode
@@ -771,13 +771,8 @@ with gr.Blocks(css=get_css_styles()) as iface:
             )
 
             gr.Examples(
-                examples=['/content/drive/Othercomputers/我的 MacBook Pro/Learning/Cats_Dogs_Detector/test_images/Border_Collie.jpg',
-                    '/content/drive/Othercomputers/我的 MacBook Pro/Learning/Cats_Dogs_Detector/test_images/Golden_Retriever.jpeg',
-                    '/content/drive/Othercomputers/我的 MacBook Pro/Learning/Cats_Dogs_Detector/test_images/Saint_Bernard.jpeg',
-                    '/content/drive/Othercomputers/我的 MacBook Pro/Learning/Cats_Dogs_Detector/test_images/Samoyed.jpg',
-                    '/content/drive/Othercomputers/我的 MacBook Pro/Learning/Cats_Dogs_Detector/test_images/French_Bulldog.jpeg'],
-                inputs=input_image
-            )
+                examples=['Border_Collie.jpg', 'Golden_Retriever.jpeg', 'Saint_Bernard.jpeg', 'Samoyed.jpg', 'French_Bulldog.jpeg'],
+                inputs=input_image)
 
         # 第二個 Tab：品種比較功能
         with gr.TabItem("Breed Comparison"):