This is my code for recognition of faces. I am getting the following error

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Code:

align = openface.AlignDlib(dlibFacePredictor)
subject=input("Enter Subject:")
a=['BI','SIC','PGIS','SQA','ITSM']
path = 'C:/Users/ACER/Desktop/PROJECT ALL RESOURCE/Implementation/PYTHON FILES/images/'
if subject in a:
    print("Success")
    wbook = load_workbook(filename = "C:/Users/ACER/Desktop/PROJECT ALL RESOURCE/Implementation/PYTHON FILES/Attendance/"+subject+".xlsx")
    sheet = wbook.get_sheet_by_name('TYBSCIT'+subject)
else:
    print("Invalid")

def getDateColumns():
    for i in range(1, len(sheet.rows[0]) + 1):
        cols = get_column_letter(i)
        if sheet.cell('%s%s'% (col,'1')).value == currentDate:
            return cols
def getProfileId(Ids):
    connect = sqlite3.connect("C:/Users/ACER/Desktop/PROJECT ALL RESOURCE/Implementation/PYTHON FILES/sqlite3/Studentdb.db")
    cmd = "SELECT * FROM Students WHERE ID=" + str(Ids)
    cursor = connect.execute(cmd)
    profile = None
    for row in cursor:
        profile = row
    connect.close()
    return profile

attend = [0 for i in range(60)]
rec = cv2.face.LBPHFaceRecognizer_create()                                            # Local Binary Patterns Histograms
rec.read('C:/Users/ACER/Desktop/PROJECT ALL RESOURCE/Implementation/PYTHON FILES/Training/trainingData.yml')                                       # loading the trained data
picNumber = 2
image= cv2.imread('C:/Users/ACER/Desktop/PROJECT ALL RESOURCE/Implementation/PYTHON FILES/images/'+subject+currentDate+'.jpg')
font = cv2.FONT_HERSHEY_SIMPLEX             # the font of text on face recognition
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)                                    # conveting the camera input into GrayScale
dets = detector(image, 1)
totalConf = 0.0
faceRec = 0
for i, d in enumerate(dets):
    image2 = image[d.top():d.bottom(), d.left():d.right()]
    rgbImg = cv2.cvtColor(image2, cv2.COLOR_BGR2RGB)
    bb = align.getLargestFaceBoundingBox(rgbImg)
    alignedFace = align.align(96, rgbImg, bb=None, landmarkIndices=openface.AlignDlib.OUTER_EYES_AND_NOSE)
    alignedFace= cv2.cvtColor(alignedFace, cv2.COLOR_BGR2GRAY)                 # conveting the camera input into GrayScale
    Ids, conf = rec.predict(alignFace)    # Comparing from the trained data

Traceback (most recent call last): File "C:\Users\ACER\Desktop\PROJECT ALL RESOURCE\Implementation\PYTHON FILES\facerecognition.py", line 60, in <module> Ids, conf = rec.predict(alignFace) # Comparing from the trained data NameError: name 'alignFace' is not defined