import cv2

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# Load the cascade file for detecting faces

face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

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# Load the image

image = cv2.imread('image.jpg')

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# Convert the image to grayscale

gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

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# Look for faces in the image using the loaded cascade file

faces = face_cascade.detectMultiScale(gray_image, 1.1, 5)

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# Draw a rectangle around the faces

for (x, y, w, h) in faces:

    cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)

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# Save the result image

cv2.imwrite('image_with_faces.jpg', image)