update

app.py

@@ -57,16 +57,16 @@ def classify_efn(inp):
     return confidences
 
 binary_interface_cnn = gr.Interface(fn=classify_cnn, 
-                                inputs=gr.inputs.Image(shape=(224, 224)),
-                                outputs=gr.outputs.Label(num_top_classes=2),
+                                inputs=gr.Image(shape=(224, 224)),
+                                outputs=gr.Label(num_top_classes=2),
                                 title="CNN Binary Image Classification",
                                 description="Classify an image as healthy or patient using CNN.",
                                 examples=[['300104.png']]
                                )
 
 binary_interface_efn = gr.Interface(fn=classify_efn, 
-                               inputs=gr.inputs.Image(shape=(224, 224)),
-                               outputs=gr.outputs.Label(num_top_classes=2),
+                               inputs=gr.Image(shape=(224, 224)),
+                               outputs=gr.Label(num_top_classes=2),
                                title="EfficientNet Binary Image Classification",
                                description="Classify an image as healthy or patient using EfficientNet.",
                                examples=[['300104.png']]