NameError: name 'face_frame' is not defined

This code has been taken from github.I have installed all the Dependencies.
What could be the possible fix for this issue?

If I try to run this project I get these errors

Traceback (most recent call last):
  File "c:ProjectDrowsiness-Detection-System-for-Driversdriver_drowsiness.py", line 102, in <module>
    cv2.imshow("Result of detector", face_frame)
NameError: name 'face_frame' is not defined
[ WARN:[email protected]] global D:aopencv-pythonopencv-pythonopencvmodulesvideoiosrccap_msmf.cpp (539) `anonymous-namespace'::SourceReaderCB::~SourceReaderCB terminating async callback

# Importing OpenCV Library for basic image processing functions
import cv2
# Numpy for array related functions
import numpy as np
# Dlib for deep learning based Modules and face landmark detection
import dlib
# face_utils for basic operations of conversion
from imutils import face_utils


# Initializing the camera and taking the instance
cap = cv2.VideoCapture(0)

# Initializing the face detector and landmark detector
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")

# status marking for current state
sleep = 0
drowsy = 0
active = 0
status = ""
color = (0, 0, 0)


def compute(ptA, ptB):
    dist = np.linalg.norm(ptA - ptB)
    return dist


def blinked(a, b, c, d, e, f):
    up = compute(b, d) + compute(c, e)
    down = compute(a, f)
    ratio = up/(2.0*down)

    # Checking if it is blinked
    if(ratio > 0.25):
        return 2
    elif(ratio > 0.21 and ratio <= 0.25):
        return 1
    else:
        return 0


while True:
    _, frame = cap.read()
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    faces = detector(gray)
    # detected face in faces array
    for face in faces:
        x1 = face.left()
        y1 = face.top()
        x2 = face.right()
        y2 = face.bottom()

        face_frame = frame.copy()
        cv2.rectangle(face_frame, (x1, y1), (x2, y2), (0, 255, 0), 2)

        landmarks = predictor(gray, face)
        landmarks = face_utils.shape_to_np(landmarks)

        # The numbers are actually the landmarks which will show eye
        left_blink = blinked(landmarks[36], landmarks[37],
                             landmarks[38], landmarks[41], landmarks[40], landmarks[39])
        right_blink = blinked(landmarks[42], landmarks[43],
                              landmarks[44], landmarks[47], landmarks[46], landmarks[45])

        # Now judge what to do for the eye blinks
        if(left_blink == 0 or right_blink == 0):
            sleep += 1
            drowsy = 0
            active = 0
            if(sleep > 6):
                status = "SLEEPING !!!"
                color = (255, 0, 0)

        elif(left_blink == 1 or right_blink == 1):
            sleep = 0
            active = 0
            drowsy += 1
            if(drowsy > 6):
                status = "Drowsy !"
                color = (0, 0, 255)

        else:
            drowsy = 0
            sleep = 0
            active += 1
            if(active > 6):
                status = "Active :)"
                color = (0, 255, 0)

        cv2.putText(frame, status, (100, 100),
                    cv2.FONT_HERSHEY_SIMPLEX, 1.2, color, 3)

        for n in range(0, 68):
            (x, y) = landmarks[n]
            cv2.circle(face_frame, (x, y), 1, (255, 255, 255), -1)

    cv2.imshow("Frame", frame)
    cv2.imshow("Result of detector", face_frame)
    key = cv2.waitKey(1)
    if key == 27:
        break