app.py

import os, io
import gradio as gr
from transformers import pipeline
# from PIL import Image

# API_URL = "https://api-inference.huggingface.co/models/facebook/detr-resnet-50-panoptic"

SECRET_TOKEN = os.getenv("SECRET_TOKEN")
API_URL = "https://api-inference.huggingface.co/models/facebook/detr-resnet-50-dc5-panoptic"
headers = {"Authorization": f'Bearer {SECRET_TOKEN}'}

estimator = pipeline("depth-estimation")

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


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)
# #demo = gr.Interface(fn=rb, inputs=inputs, outputs=result["depth"])
demo.launch()