app.py

import gradio as gr
import tensorflow as tf
import gdown
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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"}



output = query("cats.jpg")


# Perform image segmentation for multy class output
def query(inputs):
    with open(inputs, "rb") as f:
        data = f.read()
    response = requests.post(API_URL, headers=headers, data=data)
    return response.json()


inputs = gr.inputs.Image(type="pil", label="Upload an image")
# 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=classify_image, 
             inputs=inputs, 
             outputs=query(inputs), 
             title=title, 
             examples=[["00_plane.jpg"], ["01_car.jpg"], ["02_bird.jpg"], ["03_cat.jpg"], ["04_deer.jpg"]],
             description=description,
             enable_queue=True).launch()