enabled queue

app.py

@@ -21,7 +21,7 @@ categories = learn.dls.vocab
 def classify_image(img):
     pred,idx,probs = learn.predict(img)
     return dict(zip(categories, map(float, probs)))
-
+ 
 # Cell
 
 title = "Identify This Insect"
@@ -42,5 +42,6 @@ image = gr.inputs.Image(shape=(224,224))
 label = gr.outputs.Label()
 examples = ['caterpillar.jpg', 'centipede.jpg', 'millipede.jpg', 'caterpillar-2.jpg']
 
-intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples, title = title, description = description, article = article)
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples, title = title, description = description, article = article,
+enable_queue=True)
 intf.launch()