Add another example

app.py

@@ -3,6 +3,7 @@ from transformers import ImageClassificationPipeline, PerceiverForImageClassific
 import torch
 
 torch.hub.download_url_to_file('http://images.cocodataset.org/val2017/000000039769.jpg', 'cats.jpg')
+torch.hub.download_url_to_file('https://storage.googleapis.com/perceiver_io/dalmation.jpg', 'dog.jpg')
  
 feature_extractor = PerceiverFeatureExtractor()
 model = PerceiverForImageClassificationConvProcessing.from_pretrained("deepmind/vision-perceiver-conv")
@@ -28,6 +29,6 @@ def classify_image(image):
 
 image = gr.inputs.Image(type="pil")
 label = gr.outputs.Label(num_top_classes=5)
-examples = [["cats.jpg"]]
+examples = [["cats.jpg"], ["dog.jpg"]]
 
 gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples, enable_queue=True).launch(debug=True)