app.py

import cv2
import numpy as np
import gradio as gr

def remove_green_screen(video_file, bg_image):
    # Load the background image
    bg = cv2.imread(bg_image)

    # Create a video capture object to read from the video file
    cap = cv2.VideoCapture(video_file)

    # Get the video dimensions
    width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
    height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))

    # Create a video writer object to write the output to a new video file
    fourcc = cv2.VideoWriter_fourcc(*"mp4v")
    out = cv2.VideoWriter("output.mp4", fourcc, 30, (width, height))

    # Loop over each frame in the video
    while True:
        # Read a frame from the video
        ret, frame = cap.read()

        # If we have reached the end of the video, break out of the loop
        if not ret:
            break

        # Convert the frame to HSV color space
        hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)

        # Define the range of green color in HSV
        lower_green = np.array([40, 50, 50])
        upper_green = np.array([90, 255, 255])

        # Create a mask for the green color range
        mask = cv2.inRange(hsv, lower_green, upper_green)

        # Invert the mask
        mask = cv2.bitwise_not(mask)

        # Apply the mask to the frame to remove the green screen
        fg = cv2.bitwise_and(frame, frame, mask=mask)

        # Apply the mask to the background image
        bg_mask = cv2.bitwise_not(mask)
        bg_mask = cv2.cvtColor(bg_mask, cv2.COLOR_GRAY2BGR)
        bg_fg = cv2.bitwise_and(bg, bg_mask)

        # Combine the foreground and background images
        output = cv2.add(fg, bg_fg)

        # Write the output frame to the video file
        out.write(output)

    # Release the video capture and video writer objects
    cap.release()
    out.release()

    return "output.mp4"

# Define the input and output components for the app
video_file = gr.inputs.Video(label="Input Video")
bg_image = gr.inputs.Image(label="Background Image")
output_file = gr.outputs.Video(label="Output Video")

# Create the app interface
iface = gr.Interface(fn=remove_green_screen, inputs=[video_file, bg_image], outputs=output_file)

# Launch the app
iface.launch()