example init

app.py

@@ -461,7 +461,7 @@ def save_output_files(
     return paths
 
 
-@spaces.GPU(duration=300)
+@spaces.GPU(duration=100)
 def process_reconstruction(
     video_file,
     height,
@@ -1647,48 +1647,46 @@ with gr.Blocks(
                         )
 
         # Example Accordion
-        with gr.Accordion("Examples", open=False):
-            with gr.Tab("Reconstruction"):
-                reconstruction_examples = gr.Examples(
-                    examples=[
-                        ["assets/example_videos/bridge.mp4"],
-                        ["assets/example_videos/moviegen.mp4"],
-                        ["assets/example_videos/nuscenes.mp4"],
-                        ["assets/example_videos/veo2.mp4"],
-                    ],
-                    inputs=[video_input],
-                    label="Reconstruction Examples",
-                    fn=lambda x: gr.update(value="reconstruction"),  # Auto-select reconstruction task
-                    targets=[task]
-                )
+        with gr.Tab("Reconstruction"):
+            reconstruction_examples = gr.Examples(
+                examples=[
+                    ["assets/example_videos/bridge.mp4"],
+                    ["assets/example_videos/moviegen.mp4"],
+                    ["assets/example_videos/nuscenes.mp4"],
+                    ["assets/example_videos/veo2.mp4"],
+                ],
+                inputs=[video_input],
+                label="Reconstruction Examples",
+                fn=lambda x: {"task": gr.update(value="reconstruction")} 
+            )
 
-            with gr.Tab("Prediction"):
-                prediction_examples = gr.Examples(
-                    examples=[
-                        ["assets/example_obs/car.png"],
-                        ["assets/example_obs/cartoon.png"],
-                        ["assets/example_obs/garden.jpg"],
-                        ["assets/example_obs/room.jpg"],
-                    ],
-                    inputs=[image_input],
-                    label="Prediction Examples",
-                    fn=lambda x: gr.update(value="prediction"),  # Auto-select prediction task
-                    targets=[task]
-                )
+        with gr.Tab("Prediction"):
+            prediction_examples = gr.Examples(
+                examples=[
+                    ["assets/example_obs/car.png"],
+                    ["assets/example_obs/cartoon.png"],
+                    ["assets/example_obs/garden.jpg"],
+                    ["assets/example_obs/room.jpg"],
+                ],
+                inputs=[image_input],
+                label="Prediction Examples",
+                fn=lambda x: {"task": gr.update(value="prediction")},
+                examples_per_page=4,
+            )
 
-            with gr.Tab("Planning"):
-                planning_examples = gr.Examples(
-                    examples=[
-                        ["assets/example_obs_goal/01_obs.png", "assets/example_obs_goal/01_goal.png"],
-                        ["assets/example_obs_goal/02_obs.png", "assets/example_obs_goal/02_goal.png"],
-                        ["assets/example_obs_goal/03_obs.png", "assets/example_obs_goal/03_goal.png"],
-                        ["assets/example_obs_goal/04_obs.png", "assets/example_obs_goal/04_goal.png"],
-                    ],
-                    inputs=[image_input, goal_input],
-                    label="Planning Examples",
-                    fn=lambda x: gr.update(value="planning"),  # Auto-select planning task
-                    targets=[task]
-                )
+        with gr.Tab("Planning"):
+            planning_examples = gr.Examples(
+                examples=[
+                    ["assets/example_obs_goal/01_obs.png", "assets/example_obs_goal/01_goal.png"],
+                    ["assets/example_obs_goal/02_obs.png", "assets/example_obs_goal/02_goal.png"],
+                    ["assets/example_obs_goal/03_obs.png", "assets/example_obs_goal/03_goal.png"],
+                    ["assets/example_obs_goal/04_obs.png", "assets/example_obs_goal/04_goal.png"],
+                ],
+                inputs=[image_input, goal_input],
+                label="Planning Examples",
+                fn=lambda x: {"task": gr.update(value="planning")},
+                examples_per_page=4,
+            )
 
     # Event handlers
     task.change(