app.py

import os
import gradio as gr
from model import predict

examples_dir = "assets/examples/"
examples = [[os.path.join(examples_dir, filename)] for filename in os.listdir(examples_dir)]

interface = gr.Interface(
    fn=predict,
    inputs=gr.Image(type="pil"),
    outputs=gr.Image(type="pil"),
    title="DepthPro: Monocular Depth Estimation",
    examples=examples,
)

if __name__ == "__main__":
    interface.launch()