Update app.py

app.py

@@ -49,10 +49,6 @@ def predict(img) -> Tuple[Dict, float]:
 
 ### 4. Gradio app ### 
 
-# Create title, description and article
-title = "FoodVision Mini 🍕🥩🍣"
-description = "An [EfficientNetB2 feature extractor](https://pytorch.org/vision/stable/models/generated/torchvision.models.efficientnet_b2.html#torchvision.models.efficientnet_b2) computer vision model to classify images as pizza, steak or sushi."
-
 # Create example list
 example_list = [["examples/" + example] for example in os.listdir("examples")]
 
@@ -62,8 +58,8 @@ demo = gr.Interface(fn=predict, # maps inputs to outputs
                     outputs=[gr.Label(num_top_classes=3, label="Predictions"),
                              gr.Number(label="Prediction time (s)")],
                     examples=example_list,
-                    title=title,
-                    description=description)
+                    title="FoodVision Mini 🍕🥩🍣",
+                    description="An [EfficientNetB2 feature extractor](https://pytorch.org/vision/stable/models/generated/torchvision.models.efficientnet_b2.html#torchvision.models.efficientnet_b2) computer vision model to classify images as pizza, steak or sushi.")
 
 # Launch the demo!
 demo.launch()