added examples

app.py

@@ -51,6 +51,12 @@ def predict_top5(image):
 
     return top5_results
 
+examples = [
+    ["examples/espresso.jpg.webp"],  # Example 1
+    ["examples/american_bullfrog.jpg"],  # Example 2
+    ["examples/tiger_shark.jpg"],  # Example 3
+]
+
 # Create the Gradio interface
 interface = gr.Interface(
     fn=predict_top5,
@@ -58,6 +64,7 @@ interface = gr.Interface(
     outputs=gr.Label(num_top_classes=5),  # Updated syntax for label output
     title="ResNet50 Image Classification",
     description="Upload an image to get the top-5 class predictions from the ResNet50 model trained on ImageNet 1k.",
+    examples=examples
 )
 
 # Launch the app