edit detail

app.py

@@ -11,7 +11,7 @@ processor = AutoImageProcessor.from_pretrained(MODEL_ID)
 model = AutoModelForSemanticSegmentation.from_pretrained(MODEL_ID)
 
 
-def ade_palette():
+def city_palette():
     return [
         [128, 64, 128], [244, 35, 232], [70, 70, 70], [102, 102, 156], [190, 153, 153],
         [153, 153, 153], [250, 170, 30], [220, 220, 0], [107, 142, 35], [152, 251, 152],
@@ -25,7 +25,7 @@ with open("labels.txt", "r", encoding="utf-8") as fp:
     for line in fp:
         labels_list.append(line.rstrip("\n"))
 
-colormap = np.asarray(ade_palette(), dtype=np.uint8)
+colormap = np.asarray(city_palette(), dtype=np.uint8)
 
 
 def label_to_color_image(label):
@@ -85,7 +85,6 @@ def run_inference(input_img):
     return fig
 
 
-# ===== 개선된 인터페이스 (Blocks 사용) =====
 with gr.Blocks(theme=gr.themes.Soft(), title="도시 장면 분할") as demo:
     gr.Markdown(
         """