Update app.py

app.py

@@ -7,6 +7,7 @@ learn = load_learner('export.pkl')
 
 labels = learn.dls.vocab
 
+
 def predict(img):
  img = PILImage.create(img)
  img = img.resize((512, 512))
@@ -14,7 +15,6 @@ def predict(img):
  return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
 examples = ['image1.jpg', 'image2.jpg']
-enable_queue=True
 
-gr.Interface(fn=predict, inputs=gr.components.Image(), outputs=gr.components.Label(num_top_classes=3), examples=examples, enable_queue=enable_queue).launch()
+gr.Interface(fn=predict, inputs=gr.components.Image(), outputs=gr.components.Label(num_top_classes=3), examples=examples).launch()