Use Zoe_NK model

app.py

@@ -9,7 +9,7 @@ description = "Unofficial Gradio Demo for using ZoeDepth: Zero-shot Transfer by
 examples = [["example.png"],["example_2.png"]]
 repo = "isl-org/ZoeDepth"
 # Zoe_N
-model_zoe_n = torch.hub.load(repo, "ZoeD_N", pretrained=True)
+model_zoe_n = torch.hub.load(repo, "ZoeD_NK", pretrained=True)
 DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
 zoe = model_zoe_n.to(DEVICE)