Update app.py

app.py

@@ -131,7 +131,7 @@ device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
 model = BaseModel(num_classes=num_classes, device=device).to(device)
 
 # Load model path
-model_path = '/content/drive/Othercomputers/我的 MacBook Pro/Learning/Cats_Dogs_Detector/(124_TEST)_models/[124_82.30]_best_model_dog.pth'
+model_path = '124_82.30_best_model_dog.pth'
 checkpoint = torch.load(model_path, map_location=device)
 
 # Load model state
@@ -441,11 +441,11 @@ def main():
         with gr.Tabs():
             # 1. 品種檢測標籤頁
             example_images = [
-                '/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'
+                'Border_Collie.jpg',
+                'Golden_Retriever.jpeg',
+                'Saint_Bernard.jpeg',
+                'Samoyed.jpg',
+                'French_Bulldog.jpeg'
             ]
             detection_components = create_detection_tab(predict, example_images)