Update app.py

app.py

@@ -51,7 +51,7 @@ model.eval()
 processor = DPTImageProcessor.from_pretrained("Intel/dpt-swinv2-tiny-256")
 
 def preprocess_image(image):
-    image = cv2.resize(image, (255, 143))
+    image = cv2.resize(image, (200, 200))
     image = torch.from_numpy(image).permute(2, 0, 1).unsqueeze(0).float().to(device)
     return image / 255.0