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