Add example image

app.py

@@ -1,5 +1,8 @@
 import gradio as gr
 from transformers import ImageClassificationPipeline, PerceiverForImageClassificationConvProcessing, PerceiverFeatureExtractor
+import torch
+
+torch.hub.download_url_to_file('http://images.cocodataset.org/val2017/000000039769.jpg', 'cats.jpg')
  
 feature_extractor = PerceiverFeatureExtractor()
 model = PerceiverForImageClassificationConvProcessing.from_pretrained("deepmind/vision-perceiver-conv")
@@ -25,5 +28,6 @@ def classify_image(image):
 
 image = gr.inputs.Image(type="pil")
 label = gr.outputs.Label(num_top_classes=5)
+examples = [["cats.jpg"]]
 
-gr.Interface(fn=classify_image, inputs=image, outputs=label, enable_queue=True).launch(debug=True)
+gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples, enable_queue=True).launch(debug=True)