app.py

import os, io
import gradio as gr
from transformers import pipeline


SECRET_TOKEN = os.getenv("SECRET_TOKEN")
headers = {"Authorization": f'Bearer {SECRET_TOKEN}'}

estimator = pipeline("depth-estimation")

def rb(img):
    result = estimator(img)
    return result["depth"]

description = """Upload an image and get the detected classes"""
title = """Object Detection"""
inputs = gr.inputs.Image(type="pil", label="Upload an image")
outputs = gr.outputs.Image(type="pil",label="Output Image")

demo = gr.Interface(fn=rb, inputs=inputs, outputs=outputs, title=title, description=description)
demo.launch()