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import gradio as gr | |
def image_classifier(review_img, product_img): | |
width = 30 | |
height = 50 | |
return str(width) | |
product_1 = [None, "./2.jpg"] | |
product_2 = [None, "./4.jpg"] | |
product_3 = [None, "./6.jpg"] | |
product_4 = [None, "./18.jpg"] | |
image_input1 = gr.Image(type ="filepath",label= "๋ฆฌ๋ทฐ ์ด๋ฏธ์ง ์ฌ๋ฆฌ์ธ์") | |
image_input2 = gr.Image(type ="filepath",label= "์๋ ์์์์ ํด๋ฆญํ์ธ์") | |
demo = gr.Interface( | |
fn=image_classifier, | |
inputs= [image_input1,image_input2], | |
outputs="text", | |
examples = [product_1,product_2,product_3,product_4] | |
) | |
demo.launch() |