Update app.py

app.py

@@ -512,47 +512,29 @@ with gr.Blocks() as demo:
                     interactive=False,
 				)
 				gr.Markdown("Note: The model shown here has a darker appearance. Download to get correct results.")
+                gr.Markdown('''Try a different <b>seed value</b> if the result is unsatisfying (Default: 42).''')
+	with gr.Row():
+        gr.Markdown(STEP2_HEADER)
+	with gr.Row(variant="panel"):
+		with gr.Column():
 			with gr.Row():
-				gr.Markdown('''Try a different <b>seed value</b> if the result is unsatisfying (Default: 42).''')
-
-    
-	mv_images = gr.State()
-
-	step1_submit.click(fn=check_input_image, inputs=[input_image]).success(
-        fn=preprocess,
-        inputs=[input_image, do_remove_background],
-        outputs=[processed_image],
-    ).success(
-        fn=generate_mvs,
-        inputs=[processed_image, sample_steps, sample_seed],
-        outputs=[mv_images, mv_show_images],
-    ).success(
-        fn=make3d,
-        inputs=[mv_images],
-        outputs=[output_model_obj, output_model_glb]
-    )
-	
-    gr.Markdown(STEP2_HEADER)
-    with gr.Row(variant="panel"):
-        with gr.Column():
-            with gr.Row():
-                input_3d = gr.Model3D(
+				input_3d = gr.Model3D(
                     label="Input Mesh",
                     display_mode="wireframe",
                     clear_color=[1,1,1,1],
                 )
 
-        with gr.Row():
-            with gr.Group():
-                do_marching_cubes = gr.Checkbox(label="Preprocess with Marching Cubes", value=False)
-                do_sampling = gr.Checkbox(label="Random Sampling", value=False)
-                sample_seed = gr.Number(value=0, label="Seed Value", precision=0)
+		with gr.Row():
+			with gr.Group():
+				do_marching_cubes = gr.Checkbox(label="Preprocess with Marching Cubes", value=False)
+				do_sampling = gr.Checkbox(label="Random Sampling", value=False)
+				sample_seed = gr.Number(value=0, label="Seed Value", precision=0)
 
-            with gr.Row():
-                submit = gr.Button("Generate", elem_id="generate", variant="primary")
+			with gr.Row():
+				step2_submit = gr.Button("Generate", elem_id="generate", variant="primary")
 
-            with gr.Row(variant="panel"):
-                mesh_examples = gr.Examples(
+			with gr.Row(variant="panel"):
+				mesh_examples = gr.Examples(
                     examples=[
                         os.path.join("examples", img_name) for img_name in sorted(os.listdir("examples"))
                     ],
@@ -563,28 +545,46 @@ with gr.Blocks() as demo:
                     examples_per_page=10
                 )
 
-        with gr.Column():
-            with gr.Row():
-                input_image_render.render()
-            with gr.Row():
-                with gr.Tab("OBJ"):
-                    preprocess_model_obj.render()
-            with gr.Row():
-                output_image_render.render()
-            with gr.Row():
-                with gr.Tab("OBJ"):
-                    output_model_obj.render()
-            with gr.Row():
-                gr.Markdown('''Try click random sampling and different <b>Seed Value</b> if the result is unsatisfying''')
-
-    submit.click(
+		with gr.Column():
+			with gr.Row():
+				input_image_render.render()
+			with gr.Row():
+				with gr.Tab("OBJ"):
+					preprocess_model_obj.render()
+			with gr.Row():
+				output_image_render.render()
+			with gr.Row():
+				with gr.Tab("OBJ"):
+					output_model_obj.render()
+			with gr.Row():
+				gr.Markdown('''Try click random sampling and different <b>Seed Value</b> if the result is unsatisfying''')
+
+	gr.Markdown(STEP3_HEADER)
+	gr.Markdown(STEP4_HEADER)
+
+	mv_images = gr.State()
+
+	step1_submit.click(fn=check_input_image, inputs=[input_image]).success(
+        fn=preprocess,
+        inputs=[input_image, do_remove_background],
+        outputs=[processed_image],
+	).success(
+        fn=generate_mvs,
+        inputs=[processed_image, sample_steps, sample_seed],
+        outputs=[mv_images, mv_show_images],
+	).success(
+        fn=make3d,
+        inputs=[mv_images],
+        outputs=[output_model_obj, output_model_glb]
+	)
+
+	step2_submit.click(
         fn=do_inference,
         inputs=[input_3d, sample_seed, do_sampling, do_marching_cubes],
         outputs=[preprocess_model_obj, input_image_render, output_model_obj, output_image_render],
-    )
+	)
+
 
-    gr.Markdown(STEP3_HEADER)
-	gr.Markdown(STEP4_HEADER)
 
 demo.queue(max_size=10)
 demo.launch()