Upload app.py

app.py

@@ -15,24 +15,23 @@ demo = gr.Blocks()
 with demo:
     gr.Markdown("# **<p align='center'>Video Vision Transformer on medmnist</p>**")
     
-    with gr.Tabs():
-        with gr.TabItem("Upload & Predict"):
-            with gr.Box():
-                with gr.Row():
-                    input_video = gr.Video(label="Input Video", show_label=True)
-                    output_label = gr.Label(label="Model Output", show_label=True)
+    with gr.Tab("Upload & Predict"):
+        with gr.Box():
+            with gr.Row():
+                input_video = gr.Video(label="Input Video", show_label=True)
+                output_label = gr.Label(label="Model Output", show_label=True)
 
-            gr.Markdown("**Predict**")
+        gr.Markdown("**Predict**")
 
-            with gr.Box():
-                with gr.Row():
-                    submit_button = gr.Button("Submit")
+        with gr.Box():
+            with gr.Row():
+                submit_button = gr.Button("Submit")
 
-            gr.Markdown("Examples")
-            gr.Markdown("The model is trained to classify videos belonging to the following classes: liver, kidney-right, kidney-left, femur-right, femur-left, bladder, heart, lung-right, lung-left, spleen, pancreas")
+        gr.Markdown("Examples")
+        gr.Markdown("The model is trained to classify videos belonging to the following classes: liver, kidney-right, kidney-left, femur-right, femur-left, bladder, heart, lung-right, lung-left, spleen, pancreas")
 
-            with gr.Column():
-                gr.Examples(example_list, [input_video], [output_label], predict_label, cache_examples=True)
+        with gr.Column():
+            gr.Examples(example_list, [input_video], [output_label], predict_label, cache_examples=True)
 
     submit_button.click(predict_label, inputs=input_video, outputs=output_label)