Create app.py

app.py

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+import gradio as gr 
+
+
+import torch
+from utils import get_image_from_url, colorize
+from PIL import Image
+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."
+
+
+zoe = torch.hub.load(".", "ZoeD_N", source="local", pretrained=True)
+def process_image(raw_image):
+    return raw_image
+interface = gr.Interface(fn=process_image, 
+                     inputs=[gr.Image(type="pil")],
+                     outputs=[gr.Image(type="pil", label ="Depth")
+                              ],
+                     title=title,
+                     description=description,
+                     )
+                     
+interface.launch(debug=True)