Update app.py

app.py

@@ -38,10 +38,8 @@ def postprocess(output, prompt):
         right = (i + 1) * slice_width if i < n - 1 else w
         cropped_img = image.crop((left, 0, right, h))
 
-        # 生成 caption
         caption = prompt[i]
 
-        # 存入列表
         result.append((cropped_img, caption))
     return result
 
@@ -256,9 +254,9 @@ def run_demo_server():
         with gr.Row():
             gr.Markdown('The results of semantic segmentation may be unstable because:')
         with gr.Row():
-            gr.Markdown('1. We only trained on COCO, whose quality and quantity are insufficient to meet the requirements.')
+            gr.Markdown('- We only trained on COCO, whose quality and quantity are insufficient to meet the requirements.')
         with gr.Row():
-            gr.Markdown('2. Semantic segmentation is more complex than other tasks, as it requires accurately learning the relationship between semantics and objects.')
+            gr.Markdown('- Semantic segmentation is more complex than other tasks, as it requires accurately learning the relationship between semantics and objects.')
         with gr.Row():
             gr.Markdown('However, we are still able to produce some high-quality semantic segmentation results, strongly demonstrating the potential of our approach.')
         with gr.Row():
@@ -280,22 +278,10 @@ def run_demo_server():
                     undo_button = gr.Button('Undo point')
                     matting_image_reset_btn = gr.Button(value="Reset")
                 
-                # with gr.Row():
-                #     img_clear_button = gr.Button("Clear Cache")
                 
             with gr.Column():
-                # matting_image_output = gr.Image(label='Output')
-                # matting_image_output =  gr.Image(label='Results')
                 matting_image_output = gr.Gallery(label="Results")
                     
-                        #     label="Matting Output",
-                        #     type="filepath",
-                        #     show_download_button=True,
-                        #     show_share_button=True,
-                        #     interactive=False,
-                        #     elem_classes="slider",
-                        #     position=0.25,
-                        # )
                 
             
 
@@ -308,7 +294,6 @@ def run_demo_server():
             preprocess=False,
             queue=False,
         ).success(
-            # fn=process_pipe_matting,
             fn=inf,
             inputs=[original_image, checkbox_group, selected_points, semantic_input],
             outputs=[matting_image_output],
@@ -376,13 +361,6 @@ def run_demo_server():
             cache_examples=False,
         )
 
-        # examples.dataset.click(
-        #     fn=dummy
-        # ).success(
-        #     fn=set_point,  # Now run the actual function after inputs are populated
-        #     inputs=[input_image, checkbox_group, selected_points_tmp, semantic_input],
-        #     outputs=[input_image, selected_points]
-        # )
         
     demo.queue(
         api_open=False,