app.py

import cv2
import numpy as np
import gradio as gr

background = None

def invisibility(frame):
    global background

    # Convert input (PIL → numpy BGR)
    frame = cv2.cvtColor(np.array(frame), cv2.COLOR_RGB2BGR)

    # Flip frame
    frame = cv2.flip(frame, 1)

    # Initialize background
    if background is None:
        background = frame.copy()

    hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)

    # Red color ranges
    lower_red1 = np.array([0, 120, 70])
    upper_red1 = np.array([10, 255, 255])
    lower_red2 = np.array([170, 120, 70])
    upper_red2 = np.array([180, 255, 255])

    mask1 = cv2.inRange(hsv, lower_red1, upper_red1)
    mask2 = cv2.inRange(hsv, lower_red2, upper_red2)
    cloak_mask = mask1 + mask2

    # Noise removal
    cloak_mask = cv2.morphologyEx(cloak_mask, cv2.MORPH_OPEN, np.ones((3, 3), np.uint8), iterations=2)
    cloak_mask = cv2.dilate(cloak_mask, np.ones((3, 3), np.uint8), iterations=1)

    # Invert mask
    inverse_mask = cv2.bitwise_not(cloak_mask)

    # Apply masks
    cloak_area = cv2.bitwise_and(background, background, mask=cloak_mask)
    non_cloak_area = cv2.bitwise_and(frame, frame, mask=inverse_mask)

    final_output = cv2.addWeighted(cloak_area, 1, non_cloak_area, 1, 0)

    return cv2.cvtColor(final_output, cv2.COLOR_BGR2RGB)


demo = gr.Interface(
    fn=invisibility,
    inputs=gr.Image(label="Webcam Frame", type="pil"),
    outputs=gr.Image(label="Cloak Output"),
    live=True,
    title="🧙 Magic Invisibility Cloak",
    description="Wear a red cloth and vanish like Harry Potter!"
)

if __name__ == "__main__":
    demo.launch()