Refactor app.py to simplify UI component configurations by consolidating attributes and improving readability. Update demo launch method to utilize queue for enhanced performance.

app.py

@@ -190,64 +190,31 @@ with gr.Blocks() as demo:
                 image_input = gr.Image(
                     label="Image input",
                     image_mode="RGBA",
-                    sources=["upload"],
+                    sources="upload",
                     type="pil",
-                    show_label=True,
-                    show_download_button=False
-                )
-                processed_image = gr.Image(
-                    label="Processed Image", 
-                    interactive=False, 
-                    type="pil", 
-                    image_mode="RGB",
-                    show_label=True,
-                    show_download_button=False
                 )
+                processed_image = gr.Image(label="Processed Image", interactive=False, type="pil", image_mode="RGB")
             with gr.Row():
                 with gr.Column():
                     with gr.Row():
-                        background_choice = gr.Radio(
-                            choices=["Alpha as mask", "Auto Remove background"],
-                            value="Auto Remove background",
-                            label="Background choice",
-                            show_label=True
-                        )
-                    back_ground_color = gr.ColorPicker(
-                        label="Background Color", 
-                        value="#7F7F7F",
-                        show_label=True
-                    )
+                        background_choice = gr.Radio([
+                            "Alpha as mask",
+                            "Auto Remove background"
+                        ], value="Auto Remove background",
+                        label="Background choice")
+                    back_ground_color = gr.ColorPicker(label="Background Color", value="#7F7F7F")
                     foreground_ratio = gr.Slider(
                         label="Foreground Ratio",
                         minimum=0.5,
                         maximum=1.0,
                         value=1.0,
                         step=0.05,
-                        show_label=True
                     )
 
                 with gr.Column():
-                    seed = gr.Number(
-                        value=1234, 
-                        label="Seed", 
-                        precision=0,
-                        show_label=True
-                    )
-                    guidance_scale = gr.Number(
-                        value=5.5, 
-                        minimum=3.0, 
-                        maximum=10.0, 
-                        label="Guidance scale",
-                        show_label=True
-                    )
-                    step = gr.Number(
-                        value=30, 
-                        minimum=30, 
-                        maximum=100, 
-                        label="Sample steps", 
-                        precision=0,
-                        show_label=True
-                    )
+                    seed = gr.Number(value=1234, label="Seed", precision=0)
+                    guidance_scale = gr.Number(value=5.5, minimum=3, maximum=10, label="Guidance scale")
+                    step = gr.Number(value=30, minimum=30, maximum=100, label="Sample steps", precision=0)
             text_button = gr.Button("Generate 3D shape")
             # if os.path.exists("examples") and os.listdir("examples"):
             #     gr.Examples(
@@ -261,8 +228,6 @@ with gr.Blocks() as demo:
             output_model = gr.Model3D(
                 label="Output GLB",
                 interactive=False,
-                show_label=True,
-                show_download_button=True
             )
             gr.Markdown("Note: Ensure that the input image is correctly pre-processed into a grey background, otherwise the results will be unpredictable.")
 
@@ -289,11 +254,4 @@ with gr.Blocks() as demo:
     )
 
 if __name__ == "__main__":
-    # Ensure API endpoints are properly launched
-    demo.launch(
-        enable_queue=True,
-        api_open=True,  # Enable API access
-        show_api=True,  # Show API documentation
-        show_error=True,
-        allowed_paths=["examples"]  # Allow access to examples directory
-    )
+    demo.queue().launch()