Update app.py

app.py

@@ -9,7 +9,7 @@ feature_extractor = SegformerFeatureExtractor.from_pretrained(
     "nvidia/segformer-b5-finetuned-ade-640-640"
 )
 model = TFSegformerForSemanticSegmentation.from_pretrained(
-    "nvidia/segformer-b5-finetuned-ade-640-640", from_pt=True
+    "nvidia/segformer-b5-finetuned-ade-640-640"
 )
 
 def ade_palette():
@@ -196,6 +196,6 @@ def sepia(input_img):
     pred_img = pred_img.astype(np.uint8)    
     return pred_img
 
-demo = gr.Interface(sepia, gr.Image(shape=(200, 200)), "image")
+demo = gr.Interface(sepia, gr.Image(shape=(200, 200)), "image", examples=["ADE_val_00000001.jpeg"])
 
 demo.launch()