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import gradio as gr
import numpy as np
import cv2
from model import classify_image
def main(img):
img = cv2.resize(img, (224,224))
img = img/255.0
img = np.expand_dims(img, axis=0)
label, accuracy = classify_image(img)
print(label)
out = {label: accuracy}
return out
demo = gr.Interface(fn=main,
inputs=gr.Image(),
outputs=gr.Label(num_top_classes=1), allow_flagging='never')
if __name__ == "__main__":
demo.launch(share=True) |