Update app.py

app.py

@@ -29,18 +29,25 @@ def classify_image(inp):
     return {LABELS[i]: float(f"{prediction[0][i]:.6f}") for i in range(NUM_CLASSES)}
 
 
-# Gradio interface
+example_list = [
+    ["Examples/Untitled.png"],
+    ["Examples/Untitled2.png"],
+    ["Examples/Untitled3.png"],
+    ["Examples/Untitled5.png"]
+]
+
 iface = gr.Interface(
     fn=classify_image,
     inputs=gr.Image(
         label="Input Image",
-        sources="upload",      # or "sketchpad", "webcam"
-        type="numpy",         # pass as numpy array to your function
-        height=HEIGHT,        # set display height :contentReference[oaicite:0]{index=0}
-        width=WIDTH           # set display width :contentReference[oaicite:1]{index=1}
+        source="upload",
+        type="numpy",
+        height=HEIGHT,
+        width=WIDTH
     ),
     outputs=gr.Label(num_top_classes=4),
-    title="Brand Logo Detection"
+    title="Brand Logo Detection",
+    examples=example_list
 )
 
 if __name__ == "__main__":