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import gradio as gr
import PIL.Image as Image
from ultralytics import YOLO


model = YOLO('./models/best.pt')

def infer(img_path):
    results = model(img_path)
    
    im_array = results[0].plot()
    im = Image.fromarray(im_array[..., ::-1])
    return im
        
    
article = "**์ด๋ฏธ์ง€๋ฅผ ์—…๋กœ๋“œํ•˜์„ธ์š”.**" \
    
demo = gr.Interface(fn=infer,
             inputs=gr.Image(type="numpy", label="Input Image"),
             outputs=gr.Image(type="pil", label="Result")
            #  examples=[image_path,]
             )

demo.launch()