Update app.py

app.py

@@ -8,8 +8,9 @@ feature_extractor = SegformerFeatureExtractor.from_pretrained(
     "nvidia/segformer-b1-finetuned-cityscapes-1024-1024")
 
 model = TFSegformerForSemanticSegmentation.from_pretrained(
-    "nvidia/segformer-b1-finetuned-cityscapes-1024-1024"
-)
+    "nvidia/segformer-b1-finetuned-cityscapes-1024-1024")
+
+
 
 # 모델 입력 크기를 확인합니다.
 input_size = model.input_shape[1:3]
@@ -32,7 +33,8 @@ def classify_image(img):
 
 # Gradio UI를 생성합니다.
 iface = gr.Interface(fn=classify_image,
-                     inputs=gr.Image(shape=(800, 600)), 
+                     inputs=gr.Image(shape=(800, 600)),
+                     examples=["cityoutdoor-1.jpg", "cityoutdoor-2.jpg", "cityoutdoor-3.jpg"],
                      outputs="label", live=True)
 
 # Gradio UI를 시작합니다.