demo

app.py

@@ -72,13 +72,7 @@ binary_interface_efn = gr.Interface(fn=classify_efn,
                                examples=[['300104.png']]
                               )
 
-demo = gr.Interface(fn=lambda inp: {"CNN": classify_cnn(inp), "EfficientNet": classify_efn(inp)},
-                     inputs=gr.inputs.Image(shape=(224, 224)),
-                     outputs=["json", "json"],
-                     title="Binary Image Classification",
-                     description="Classify an image as healthy or patient using either CNN or EfficientNet.",
-                     examples=[['300104.png']]
-                    )
-
-if __name__ == "__main__":
-    demo.launch()
+
+demo = gr.TabbedInterface([binary_interface_cnn, binary_interface_efn], ["Welcome", "What to do"])
+
+demo.launch()