Update app.py

app.py

@@ -248,8 +248,7 @@ def split_image(image: Image.Image) -> List[Image.Image]:
 
 
 with gr.Blocks(delete_cache=(600, 600)) as demo:
-    gr.Markdown("""
-    
+    gr.Markdown("")
     
     with gr.Row():
         with gr.Column():
@@ -286,8 +285,10 @@ with gr.Blocks(delete_cache=(600, 600)) as demo:
             with gr.Row():
                 extract_glb_btn = gr.Button("Extract GLB", interactive=False)
                 extract_gs_btn = gr.Button("Extract Gaussian", interactive=False)
-            gr.Markdown(
-                        
+            gr.Markdown("""
+                        *NOTE: Gaussian file can be very large (~50MB), it will take a while to display and download.*
+                        """)
+
         with gr.Column():
             video_output = gr.Video(label="Generated 3D Asset", autoplay=True, loop=True, height=300)
             model_output = LitModel3D(label="Extracted GLB/Gaussian", exposure=10.0, height=300)
@@ -300,8 +301,27 @@ with gr.Blocks(delete_cache=(600, 600)) as demo:
     output_buf = gr.State()
 
     # Example images at the bottom of the page
-   
-        
+    with gr.Row() as single_image_example:
+        examples = gr.Examples(
+            examples=[
+                f'assets/example_image/{image}'
+                for image in os.listdir("")
+            ],
+            inputs=[image_prompt],
+            fn=preprocess_image,
+            outputs=[image_prompt],
+            run_on_click=True,
+            examples_per_page=64,
+        )
+    with gr.Row(visible=False) as multiimage_example:
+        examples_multi = gr.Examples(
+            examples=prepare_multi_example(),
+            inputs=[image_prompt],
+            fn=split_image,
+            outputs=[multiimage_prompt],
+            run_on_click=True,
+            examples_per_page=8,
+        )
 
     # Handlers
     demo.load(start_session)