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app.py

@@ -38,7 +38,8 @@ def load_model():
         classifier = pipeline(
             "image-classification",
             model=MODEL_ID,
-            device=-1  # Use CPU (change to 0 for GPU)
+            device=-1,  # Use CPU (change to 0 for GPU)
+            use_fast=True  # Use fast image processor
         )
         model_loaded = True
         logger.info("Model loaded successfully!")
@@ -179,17 +180,6 @@ def create_interface():
                     height=300
                 )
         
-        # Example images
-        gr.Markdown("### 📸 Example Images")
-        gr.Examples(
-            examples=[
-                ["food_recognition_model/data/processed/val/apple_pie/apple_pie_000.jpg"],
-                ["food_recognition_model/data/processed/val/pizza/pizza_000.jpg"],
-                ["food_recognition_model/data/processed/val/hamburger/hamburger_000.jpg"],
-            ],
-            inputs=image_input,
-            label="Click on an example to test"
-        )
         
         # Event handlers
         predict_btn.click(