a

app.py

@@ -14,16 +14,15 @@ feature_extractor = SegformerFeatureExtractor.from_pretrained("nvidia/segformer-
 model = SegformerForSemanticSegmentation.from_pretrained("nvidia/segformer-b0-finetuned-cityscapes-640-1280")
 
 urls = ["http://farm3.staticflickr.com/2523/3705549787_79049b1b6d_z.jpg",
-       "http://farm8.staticflickr.com/7012/6476201279_52db36af64_z.jpg",
-       "http://farm8.staticflickr.com/7180/6967423255_a3d65d5f6b_z.jpg",
-       "http://farm4.staticflickr.com/3563/3470840644_3378804bea_z.jpg",
-       "http://farm9.staticflickr.com/8388/8516454091_0ebdc1130a_z.jpg"]
+        "http://farm8.staticflickr.com/7012/6476201279_52db36af64_z.jpg",
+        "http://farm8.staticflickr.com/7180/6967423255_a3d65d5f6b_z.jpg",
+        "http://farm4.staticflickr.com/3563/3470840644_3378804bea_z.jpg",
+        "http://farm9.staticflickr.com/8388/8516454091_0ebdc1130a_z.jpg"]
 images = []
 for i in urls:
     images.append(Image.open(requests.get(i, stream=True).raw))
 
 
-
 # inputs = feature_extractor(images=image, return_tensors="pt")
 # outputs = model(**inputs)
 # logits = outputs.logits  # shape (batch_size, num_labels, height/4, width/4)
@@ -121,6 +120,6 @@ iface = gr.Interface(
     fn=greet,
     inputs=gr.Image(shape=(640, 1280)),
     outputs=["plot"],
-    examples=[images],
+    examples=images,
     allow_flagging="never")
 iface.launch(share=True)