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import requests
import os
import gradio as gr
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}
demo = gr.Interface(fn=image_classifier, inputs="image", outputs="label")
demo.launch()
# def query(filename):
# with open(filename, "rb") as f:
# data = f.read()
# response = requests.post(API_URL, headers=headers, data=data)
# return response.json()
# # train = os.listdir("./")
# # print(train)
# output = query("./09_truck.jpg")
# print(output) |