Update app.py

app.py

@@ -8,10 +8,10 @@ import tensorflow as tf
 from transformers import SegformerFeatureExtractor, TFSegformerForSemanticSegmentation
 
 feature_extractor = SegformerFeatureExtractor.from_pretrained(
-    "mattmdjaga/segformer_b2_clothes"
+    "nvidia/segformer-b0-finetuned-cityscapes-768-768"
 )
 model = TFSegformerForSemanticSegmentation.from_pretrained(
-    "mattmdjaga/segformer_b2_clothes"
+    "nvidia/segformer-b0-finetuned-cityscapes-768-768"
 )
 
 def ade_palette():
@@ -35,6 +35,7 @@ def ade_palette():
         [78, 89, 189],
         [189, 78, 57],
         [112, 200, 78],
+        [0, 0, 0],
     ]
 
 labels_list = []
@@ -103,7 +104,7 @@ 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=["image1.jpg", "image2.jpg", "image3.jpg", "image4.jpg"],
                     allow_flagging='never')