update gradio for new models

app.py

@@ -15,7 +15,8 @@ demo = gr.Interface(
     fn=predict_fn,
     inputs=[
         gr.inputs.Image(label="Input Image"),
-        gr.Radio(['GCViTTiny', 'GCViTSmall', 'GCViTBase'], value='GCViTTiny', label='Model Name')
+        gr.Radio(['GCViTXXTiny', 'GCViTXTiny', 'GCViTTiny',
+                  'GCViTSmall', 'GCViTBase','GCViTLarge'], value='GCViTXXTiny', label='Model Name')
         ],
     outputs=[
         gr.outputs.Label(label="Prediction"),
@@ -24,10 +25,10 @@ demo = gr.Interface(
     title="Global Context Vision Transformer (GCViT) Demo",
     description="Image Classification with GCViT Model using ImageNet Pretrain Weights.",
     examples=[
-        ["example/hot_air_ballon.jpg", 'GCViTTiny'],
-        ["example/chelsea.png", 'GCViTTiny'],
-        ["example/penguin.JPG", 'GCViTTiny'],
-        ["example/bus.jpg", 'GCViTTiny'],
+        ["example/hot_air_ballon.jpg", 'GCViTXXTiny'],
+        ["example/chelsea.png", 'GCViTXXTiny'],
+        ["example/penguin.JPG", 'GCViTXXTiny'],
+        ["example/bus.jpg", 'GCViTXXTiny'],
     ],
 )
 demo.launch()