Update app.py

app.py

@@ -135,7 +135,6 @@ Mask-Adapter effectively extends to SAM or SAM-2 without additional training, ac
 </div>
 """
 
-# Interface with mode selection using Tabs
 with gr.Blocks() as demo:
     gr.Markdown(title)  # Title
     gr.Markdown(description)  # Description
@@ -160,20 +159,18 @@ with gr.Blocks() as demo:
                 gr.Examples(examples=examples, inputs=[input_image, class_names], outputs=output_image)
 
         with gr.TabItem("Point Mode"):
-            with gr.Row():  # 水平排列
+            with gr.Row():  
                 with gr.Column(): 
                     def init_state():
                         return []
-                    input_image = gr.Image(type='filepath', label="Upload Image", interactive=True)  # 上传图片并允许交互
-                    points_input = gr.State(value=init_state())  # 用于存储点击的点
+                    input_image = gr.Image(type='filepath', label="Upload Image", interactive=True)
+                    points_input = gr.State(value=init_state()) 
 
-                with gr.Column():  # 第二列：分割图输出
-                    output_image_point = gr.Image(type="pil", label='Segmentation Map')  # 输出分割图
+                with gr.Column(): 
+                    output_image_point = gr.Image(type="pil", label='Segmentation Map')
 
-            # 直接使用 `SelectData` 事件触发 `inference_point`
             input_image.select(inference_point, inputs=[input_image], outputs=output_image_point)
 
-            # 清除分割图的按钮
             clear_button_point = gr.Button("Clear Segmentation Map")
             clear_button_point.click(lambda: None, inputs=None, outputs=output_image_point)