import cv2
import gradio as gr

from spoofynet import SpoofyNet

spoofynet = SpoofyNet()


def find_spoofs(input_img):
    spoofs = spoofynet.find_spoof(input_img)
    for spoof in spoofs:
        (startX, startY, endX, endY) = spoof["coords"]
        label = "Real" if spoof["is_real"] else "Spoofed"
        color = (0, 255, 0) if spoof["is_real"] else (0, 0, 255)
        cv2.putText(
            input_img,
            f"{label}: {spoof['probs']:.2f}",
            (startX, startY - 10),
            cv2.FONT_HERSHEY_SIMPLEX,
            0.5,
            color,
            2,
        )

        cv2.rectangle(input_img, (startX, startY), (endX, endY), color, 4)
    return input_img


demo = gr.Interface(find_spoofs, gr.Image(), "image")
demo.launch()