import requests
import os
import gradio as gr
# from PIL import Image

API_URL = "https://api-inference.huggingface.co/models/facebook/detr-resnet-50-panoptic"
headers = {"Authorization": "Bearer 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"}

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(data):
    response = requests.post(API_URL, headers=headers, data=data.tobytes())
    return response.json()

# train = os.listdir("./")
# print(train)
output = query("./09_truck.jpg")



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