while True:
    sucess, img = cap.read()

    img = cv2.flip(img, 1)
    imgs = cv2.resize(img,(0,0) , None , 0.25 , 0.25)
    imgs = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)

    facecurframe = face_recognition.face_locations(imgs)
    encodecurframe = face_recognition.face_encodings(imgs , facecurframe)


    imgBg[162:162+480,55:55+640] = img
    imgBg[44:44+633,808:808+414] = imgmodelist[2]

    for encodeface, faceloc in zip(encodecurframe , facecurframe):
        matches = face_recognition.compare_faces(encodelistknown,encodeface)
        facedis = face_recognition.face_distance(encodelistknown,encodeface)
        # print("matches" , matches)
        # print("facedis" , facedis)

        matchindex = np.argmin(facedis)
        
        if matches[matchindex]:
            #name = classNames[matchIndex].upper()
            print("booyah")

    #cv2.imshow("Webcam", img)
    cv2.imshow("Face Attendance", imgBg)

    cv2.waitKey(1)

it gives the following error
File “/Users/sy/Projects/AMS/main.py”, line 40, in
encodecurframe = face_recognition.face_encodings(imgs , facecurframe)[0]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^

tried to modify the numpy but did not work.

tried

face_encoding = face_recognition.face_encodings(face_image)[0]

any help will be deeply appreciated