Update app.py

app.py

@@ -4,7 +4,7 @@ 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')
+#torch.hub.download_url_to_file('http://images.cocodataset.org/val2017/000000039769.jpg', 'cats.jpg')
 
 feature_extractor = DPTFeatureExtractor.from_pretrained("Intel/dpt-large")
 model = DPTForDepthEstimation.from_pretrained("Intel/dpt-large")
@@ -34,13 +34,12 @@ def process_image(image):
     
 title = "Demo: zero-shot depth estimation with DPT"
 description = "Demo for Intel's DPT, a Dense Prediction Transformer for state-of-the-art dense prediction tasks such as semantic segmentation and depth estimation."
-examples =[['cats.jpg']]
+
 
 iface = gr.Interface(fn=process_image, 
                      inputs=gr.inputs.Image(type="pil"), 
                      outputs=gr.outputs.Image(type="pil", label="predicted depth"),
                      title=title,
                      description=description,
-                     examples=examples,
                      enable_queue=True)
 iface.launch(debug=True)