app.py

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)