Update app.py

app.py

@@ -89,7 +89,7 @@ def predict(image):
     depth = torch.nn.functional.interpolate(torch.from_numpy(depth)[None,None,...],size=[1024,1024],mode='bilinear',align_corners=True)
     image = torch.divide(image,255.0)
     depth = torch.divide(depth,255.0)
-    depth = transforms(depth[0].repete(3,1,1)).unsqueeze(0)
+    depth = transforms(depth[0].repeat(3,1,1)).unsqueeze(0)
     image = transforms(image).unsqueeze(0)
     DIS_map = model.inference(image.to(device),depth.to(device))[0][0][0].cpu()
     DIS_map = cv2.resize(np.array(DIS_map), (W,H))