Update app.py

app.py

@@ -220,7 +220,14 @@ iface = gr.Interface(
     inputs=gr.Image(type="pil"),
     outputs=gr.Label(num_top_classes=1),
     title="Hybrid ViT+CNN CIFAR-100 Classifier",
-    description="Upload a 32x32 image, and the model predicts the CIFAR-100 class."
+    description="Upload a 32x32 image, and the model predicts the CIFAR-100 class.",
+    examples=["Feng-shui-fish-acquarium_0_1200.jpg.webp",
+              "_20230926_on_kangaroos.jpg",
+             "complex-aerial-view-city.jpg",
+             "apples-101-about-1440x810.webp",
+             "detect(1).jpg",
+             "Arabian-dromedary-camel-calf.webp",
+             "1_9527341a-93b9-4566-9eb3-3bfe92cfed5f.webp"]
 )
 
 iface.launch()