Update app.py

app.py

@@ -24,11 +24,11 @@ def classify_image(img):
     return pred_class, dict(zip(categories, map(float,probs)))
 
 # Cell
-image = gr.inputs.Image(shape=(192, 192))
+image = gr.Image(shape=(192, 192))
 
-set_label = gr.outputs.Textbox(label="Predicted Class")
+set_label = gr.Textbox(label="Predicted Class")
 
-set_prob = gr.outputs.Label(num_top_classes=2, label="Predicted Probability Per Class")
+set_prob = gr.Label(num_top_classes=2, label="Predicted Probability Per Class")
 examples = ['test1.jpg', 'test2.jpg', 'test3.jpeg', 'test4.jpeg', 'test5.jpeg', 'test6.jpeg', 'test7.jpeg', 'test8.jpeg', 'test9.jpeg', 'test10.jpeg']
 
 intf = gr.Interface(fn=classify_image,