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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() |