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import gradio as gr
import requests
from PIL import Image
import requests
API_URL = "https://api-inference.huggingface.co/models/facebook/detr-resnet-50-panoptic"
headers = {"Authorization": "Bearer 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"}
inputs = gr.inputs.Image(type="pil", label="Upload an image")
# Perform image segmentation for multy class output
# def query(inputs):
# response = requests.post(API_URL, headers=headers, data=inputs)
# return response.json()
inputs = "./04_deer.jpg"
def query(inputs):
with open(inputs, "rb") as f:
data = f.read()
response = requests.post(API_URL, headers=headers, data=data)
return response.json()
outputs = gr.outputs.HTML()
# outputs = gr.outputs.HTML() #uncomment for single class output
#outputs = query(inputs)
title = "<h1 style='text-align: center;'>Image Segmentation</h1>"
description = "Upload an image and get the segmentation result."
gr.Interface(fn=query,
inputs=inputs,
outputs=outputs,
title=title,
examples=[["00_plane.jpg"], ["01_car.jpg"], ["02_bird.jpg"], ["03_cat.jpg"], ["04_deer.jpg"]],
description=description).launch() |