Update app.py

app.py

@@ -49,6 +49,11 @@ def classify(img):
   # Return prediction with percentage
   return f"{class_name} ({top_perc:.2f}%)"
 
-iface = gr.Interface(classify,"image","text")
-#iface = gr.Interface.load('https://huggingface.co/spaces/Jugal-sheth/CIFAR10-classifier', title="CIFAR10-classifier", description="classes airplane automobile bird cat deer dog frog horse ship truck")
-iface.launch()
+iface = gr.Interface(classify,
+                     "image",
+                     "text",
+                     theme="huggingface",
+                     title="Digit Recognition",
+                     description="Upload Image of any Airplane Automobile Bird Cat Deer Dog Frog Horse Ship Truck and the algorithm will detect it in real time! This is CNN trained on CIFAR10 Dataset",
+                     article="<p style='text-align: center'>CIFAR10 Classification | Demo Model by Jugal</p>",live=True)
+iface.launch(debug=True)