modify html

app.py

@@ -205,26 +205,26 @@ if __name__ == "__main__":
             </p>
         """
         )
-        
-        with gr.Row():
-            with gr.Column():
-                preview_video = gr.Video(label="Preview Video")
-                text_input = gr.Textbox(label="Input Text")
-                checkpoint_dropdown = gr.Dropdown(label="Select Checkpoint", choices=get_checkpoints('results'))
-                seed = gr.Number(label="Seed", value=0)
-                inference_button = gr.Button("Generate Video")
-            
-            with gr.Column():
+        with gr.Tabs(elem_classes=["tabs"]):
+            with gr.Row():
+                with gr.Column():
+                    preview_video = gr.Video(label="Preview Video")
+                    text_input = gr.Textbox(label="Input Text")
+                    checkpoint_dropdown = gr.Dropdown(label="Select Checkpoint", choices=get_checkpoints('results'))
+                    seed = gr.Number(label="Seed", value=0)
+                    inference_button = gr.Button("Generate Video")
                 
-                output_video = gr.Video(label="Output Video")
-                generated_prompt = gr.Textbox(label="Generated Prompt")
+                with gr.Column():
+                    
+                    output_video = gr.Video(label="Output Video")
+                    generated_prompt = gr.Textbox(label="Generated Prompt")
 
-        with gr.Accordion("Advanced Settings", open=False):
-            with gr.Row():
-                inference_steps = gr.Number(label="Inference Steps", value=30)
-                motion_type = gr.Dropdown(label="Motion Type", choices=["camera", "object"], value="object")
+            with gr.Accordion("Advanced Settings", open=False):
+                with gr.Row():
+                    inference_steps = gr.Number(label="Inference Steps", value=30)
+                    motion_type = gr.Dropdown(label="Motion Type", choices=["camera", "object"], value="object")
 
-        gr.Examples(examples=examples_inference,inputs=[preview_video,text_input,motion_type,checkpoint_dropdown])
+            gr.Examples(examples=examples_inference,inputs=[preview_video,text_input,motion_type,checkpoint_dropdown])
 
         checkpoint_dropdown.change(fn=update_preview_video, inputs=checkpoint_dropdown, outputs=preview_video)
         inference_button.click(inference_model, inputs=[text_input, checkpoint_dropdown,inference_steps,motion_type, seed], outputs=output_video)