Update app.py

app.py

@@ -334,14 +334,15 @@ with gr.Blocks() as demo:
             fit_steps_slider = gr.Slider(100, 5000, value=400, step=100, label="Number of optimization steps")
             preprocess_button = gr.Button("📸 Preprocess Input")
             start_button = gr.Button("🚀 Start Reconstruction", interactive=False)
-            gallery = gr.Gallery(label="Selected Reference Views", columns=4, height=300)
+            
 
         with gr.Column(scale=3):
             gr.Markdown("### 🏋️ Training Visualization")
+            gallery = gr.Gallery(label="Selected Reference Views", columns=4, height=300)
             video_output = gr.Video(label="Training Video", autoplay=True)
-            render_all_views_button = gr.Button("🎥 Render All-Views Path")
-            render_circular_path_button = gr.Button("🎥 Render Circular Path")
-            rendered_video_output = gr.Video(label="Rendered Video", autoplay=True)
+            #render_all_views_button = gr.Button("🎥 Render All-Views Path")
+            #render_circular_path_button = gr.Button("🎥 Render Circular Path")
+            #rendered_video_output = gr.Video(label="Rendered Video", autoplay=True)
         with gr.Column(scale=5):
             gr.Markdown("### 🌐 Final 3D Model")
             model3d_viewer = gr.Model3D(label="3D Model Viewer")
@@ -378,8 +379,8 @@ with gr.Blocks() as demo:
         outputs=[video_output, model3d_viewer, log_output_box]
     )
 
-    render_all_views_button.click(fn=render_all_views, inputs=[scene_dir_state], outputs=[rendered_video_output])
-    render_circular_path_button.click(fn=render_circular_path, inputs=[scene_dir_state], outputs=[rendered_video_output])
+    #render_all_views_button.click(fn=render_all_views, inputs=[scene_dir_state], outputs=[rendered_video_output])
+    #render_circular_path_button.click(fn=render_circular_path, inputs=[scene_dir_state], outputs=[rendered_video_output])
 
     download_cameras_button.click(fn=lambda: os.path.join(MODEL_PATH, "cameras.json"), inputs=[], outputs=[download_cameras_file])
     download_model_button.click(fn=lambda: os.path.join(STATIC_FILE_SERVING_FOLDER, "point_cloud_final.ply"), inputs=[], outputs=[download_model_file])