Update app.py

app.py

@@ -1,17 +1,17 @@
 import gradio as gr
-from transformers import DPTFeatureExtractor, DPTForDepthEstimation
+from transformers import DPTImageProcessor, DPTForDepthEstimation
 import torch
 import numpy as np
 from PIL import Image
 
 torch.hub.download_url_to_file('http://images.cocodataset.org/val2017/000000039769.jpg', 'cats.jpg')
 
-feature_extractor = DPTFeatureExtractor.from_pretrained("Intel/dpt-large")
+processor = DPTImageProcessor.from_pretrained("Intel/dpt-large")
 model = DPTForDepthEstimation.from_pretrained("Intel/dpt-large")
 
 def process_image(image):
     # prepare image for the model
-    encoding = feature_extractor(image, return_tensors="pt")
+    encoding = processor(image, return_tensors="pt")
     
     # forward pass
     with torch.no_grad():