Add example

app.py

@@ -6,7 +6,7 @@ import matplotlib.pyplot as plt
 
 title = "Interactive demo: ZoeDepth"
 description = "Unofficial Gradio Demo for using ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth. To use it, simply upload an image or use one of the examples below and click 'Submit'. Results will show up in a few seconds."
-
+examples = [["example.png"]]
 repo = "isl-org/ZoeDepth"
 # Zoe_N
 model_zoe_n = torch.hub.load(repo, "ZoeD_N", pretrained=True)
@@ -14,11 +14,8 @@ DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
 zoe = model_zoe_n.to(DEVICE)
 
 def process_image(image):
-    
     depth = zoe.infer_pil(image)  # as numpy
     colored_depth = colorize(depth)
-    colored_depth = colored_depth.resize((512,512))
-
     return colored_depth
 
 interface = gr.Interface(fn=process_image, 
@@ -27,6 +24,7 @@ interface = gr.Interface(fn=process_image,
                               ],
                      title=title,
                      description=description,
+                     examples = examples
                      )
                      
 interface.launch(debug=True)