app.py

import requests
import os, io
import gradio as gr
# 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}'}



def image_classifier(inp):
    return {'cat': 0.3, 'dog': 0.7}

def query(filename):
    with open(filename, "rb") as f:
        data = f.read()
    response = requests.post(API_URL, headers=headers, data=data)
    return response.json()

def rb(img):
    # initialiaze io to_bytes converter
    img_byte_arr = io.BytesIO()
    # define quality of saved array
    img.save(img_byte_arr, format='JPEG', subsampling=0, quality=100)
    # converts image array to bytesarray
    img_byte_arr = img_byte_arr.getvalue()
    response = requests.post(API_URL, headers=headers, data=img_byte_arr)
    return response.json()


inputs = gr.inputs.Image(type="pil", label="Upload an image")
demo = gr.Interface(fn=rb, inputs=inputs, outputs="json")
demo.launch()