cosmetics

app.py

@@ -11,10 +11,17 @@ def classify_image(img):
  return dict(zip(categories, map(float, prob)))
 
 
-image = gr.components.Image(type="pil")
+image = gr.components.Image(height=512, width=512)
 label = gr.components.Label()
+
+
+
+title = "Pascal Multi Label Classifier"
+description = "A multi label classifier trained on Pascal dataset."
 examples = ['multilabel_bird_on_horse.jpg']
+enable_queue=True
 
 
-iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, title=title,description=description,examples=examples)
+iface.queue(max_size=3)
 iface.launch(inline=False)