Update app.py

app.py

@@ -87,7 +87,7 @@ with gr.Blocks(title="DETR Object Detection - ClassCat",
         input_image = gr.Image(label="Input image", type="pil")
         output_image = gr.Image(label="Output image with predicted instances", type="pil")
 
-    gr.Examples(['samples/anime.jpg','samples/cartoon.jpg','samples/CATTY.jpg','samples/food.png','samples/ghibli.jpeg', 'samples/news.png', 'samples/people.png','samples/road.png','samples/Paris.jpg', 'samples/goku-child.png', 'samples/Blobfish.png', 'samples/Pokemon.jpg', 'samples/Egg Tart.jpg'], inputs=input_image)
+    gr.Examples(['samples/anime.jpg','samples/cartoon.jpg','samples/CATTY.jpg','samples/food.png','samples/ghibli.jpeg', 'samples/news.png', 'samples/people.png','samples/road.png','samples/Paris.jpg', 'samples/goku-child.png', 'samples/Blobfish.png', 'samples/Pokemon.jpg', 'samples/Egg Tart.jpg', 'samples/Rose.jpg'], inputs=input_image)
 
     gr.HTML("""<br/>""")
     gr.HTML("""<h4 style="color:navy;">3. Then, click "Infer" button to predict object instances. It will take about 10 seconds (on cpu)</h4>""")