Update app.py

app.py

@@ -10,5 +10,10 @@ def image_classifier(img):
     pred,pred_idx,probs = model_inf.predict(img)
     return dict(zip(categories,map(float,probs)))
 examples_arch=['ArtDeco.jpg','Byzantine.jpg','Gothic.jpg','Neoclassical.jpg']
-intrf=gr.Interface(fn=image_classifier, inputs=gr.inputs.Image(shape=(192, 192)), outputs=gr.outputs.Label(num_top_classes=4),examples=examples_arch)
+intrf=intrf = gr.Interface(
+    fn=image_classifier, 
+    inputs=gr.Image(width=192, height=192),  # Updated syntax
+    outputs=gr.Label(num_top_classes=4),     # Updated syntax
+    examples=examples_arch
+)
 intrf.launch(inline=False)