update app.py file

app.py

@@ -18,10 +18,10 @@ device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 model = model.to(device)
 
 def segment_image(img):
-  img = processor(img, return_tensors="pt")
-  img = img.to(device)
+  img_pt = processor(img, return_tensors="pt")
+  img_pt = img_pt.to(device)
   with torch.no_grad():
-    outputs = model(**img)
+    outputs = model(**img_pt)
 
   predicted_semantic_map = processor.post_process_semantic_segmentation(
     outputs, target_sizes=[img.size[::-1]]