Update app.py

app.py

@@ -13,11 +13,10 @@ def predict(img):
     pred,pred_idx,probs = learn.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
-title = "Pet Breed Classifier"
-description = "A pet breed classifier trained on the Oxford Pets dataset with fastai. Created as a demo for Gradio and HuggingFace Spaces."
-article="<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>"
-examples = ['siamese.jpg']
-interpretation='default'
-enable_queue=True
-
-gr.Interface(fn=predict, inputs=gr.Image(height = 512, width = 512), outputs=gr.Label(num_top_classes=3)).launch(share=True)
+gr.Interface(fn=predict, inputs=gr.Image(height = 512, width = 512), outputs=gr.Label(num_top_classes=3),
+            title = "Pet Breed Classifier",
+            description = "A pet breed classifier trained on the Oxford Pets dataset with fastai. Created as a demo for Gradio and HuggingFace Spaces.",
+            article="<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>",
+            examples = ['siamese.jpg'],
+            queue=True
+            ).launch(share=True)