a

app.py

@@ -6,7 +6,7 @@ import requests
 #
 
 feature_extractor = SegformerFeatureExtractor.from_pretrained("nvidia/segformer-b0-finetuned-cityscapes-640-1280")
-model = SegformerForSemanticSegmentation.from_pretrained("nvidia/segformer-b0-finetuned-cityscapes-640-1280")
+model = TFSegformerForSemanticSegmentation.from_pretrained("nvidia/segformer-b0-finetuned-cityscapes-640-1280")
 
 
 url = "http://images.cocodataset.org/val2017/000000039769.jpg"
@@ -18,8 +18,13 @@ inputs = feature_extractor(images=image, return_tensors="pt")
 outputs = model(**inputs)
 logits = outputs.logits  # shape (batch_size, num_labels, height/4, width/4)
 
+
+
 def greet():
     return outputs
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+iface = gr.Interface(
+    fn=sepia,
+    inputs="text",
+    outputs=["plot"])
 iface.launch(share=True)