과제 2

app.py

@@ -15,7 +15,7 @@ model = TFSegformerForSemanticSegmentation.from_pretrained(
 )
 
 def ade_palette():
-
+    """ADE20K palette that maps each class to RGB values."""
     return [
         [255, 0, 0],
         [85, 0, 0],
@@ -103,6 +103,8 @@ def sepia(input_img):
 demo = gr.Interface(fn=sepia,
                     inputs=gr.Image(shape=(400, 600)),
                     outputs=['plot'],
-                    examples=["person_1.jpg", "person_2.jpg", "person_3.jpg", "person_4.jpg", "person_5.jpg"],
+                    examples=["person-1.jpg", "person-2.jpg", "person-3.jpg", "person-4.jpg", "person-5.jpg"],
                     allow_flagging='never')
-demo.launch()
+
+
+demo.launch()