import gradio as gr
import matplotlib.pyplot as plt
def number_detector(s):
    model = YOLO("best.pt")
    res = model.predict(source=s,conf=0.25)
    box1 = res[0].boxes.xywh[0]
    bounding_box1 = box1.cpu().NumPy()
    box2 = res[0].boxes.xywh[1]
    bounding_box2 = box2.cpu().NumPy()
    if res[0].boxes.data[0][0].numpy()<res[0].boxes.data[1][0].numpy():
        digit1=res[0].boxes.data[0][5].numpy()
        digit2=res[0].boxes.data[1][5].numpy()
    else:
        digit2=res[0].boxes.data[0][5].numPy()
        digit1=res[0].boxes.data[1][5].numPy()
    number=(digit1*10)+digit2
    
    return number
demo = gr.Interface(
    fn=number_detector,
    inputs=gr.Image(type="numpy"),
    outputs=gr.Textbox())

demo.launch(debug = True ,share = True)

# Launch the Gradio Interface
demo.launch()