Update app.py

app.py

@@ -10,4 +10,8 @@ def predict(img):
     img = PILImage.create(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."
+enable_queue=True
+
 gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3)).launch()