I am currently working on my face recognition opencv and this issue keeps showing after I log it Exception in Tkinter callback Traceback most recent call last

Question

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Exception in Tkinter callback
Traceback (most recent call last):
  File "C:\Users\Claire\AppData\Roaming\Python\Python36\site-packages\pandas\core\indexes\base.py", line 2898, in get_loc
    return self._engine.get_loc(casted_key)
  File "pandas\_libs\index.pyx", line 70, in pandas._libs.index.IndexEngine.get_loc
  File "pandas\_libs\index.pyx", line 101, in pandas._libs.index.IndexEngine.get_loc
  File "pandas\_libs\hashtable_class_helper.pxi", line 1675, in pandas._libs.hashtable.PyObjectHashTable.get_item
  File "pandas\_libs\hashtable_class_helper.pxi", line 1683, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'Id'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:\Program Files\Python36\lib\tkinter\__init__.py", line 1702, in __call__
    return self.func(*args)
  File "C:\Users\Claire\Desktop\New folder (6)\login-verification-master\run.py", line 161, in login_submit
    TrackImages(a)
  File "C:\Users\Claire\Desktop\New folder (6)\login-verification-master\run.py", line 135, in TrackImages
    aa=df.loc[df['Id'] == Id]['Name'].values
  File "C:\Users\Claire\AppData\Roaming\Python\Python36\site-packages\pandas\core\frame.py", line 2906, in __getitem__
    indexer = self.columns.get_loc(key)
  File "C:\Users\Claire\AppData\Roaming\Python\Python36\site-packages\pandas\core\indexes\base.py", line 2900, in get_loc
    raise KeyError(key) from err
KeyError: 'Id'

I provide the code as well.

def TrackImages(UserId):
    recognizer = cv2.face.LBPHFaceRecognizer_create()#cv2.createLBPHFaceRecognizer()
    recognizer.read("TrainingImageLabel\Trainner.yml")
    harcascadePath = "haarcascade_frontalface_default.xml"
    faceCascade = cv2.CascadeClassifier(harcascadePath);
    df=pd.read_csv("Details\Details.csv")
    cam = cv2.VideoCapture(0)
    font = cv2.FONT_HERSHEY_SIMPLEX          
    run_count=0;run=True
    while run:
        
        ret, im =cam.read()
        gray=cv2.cvtColor(im,cv2.COLOR_BGR2GRAY)
        faces=faceCascade.detectMultiScale(gray, 1.2,5)    
        for(x,y,w,h) in faces:
            cv2.rectangle(im,(x,y),(x+w,y+h),(225,0,0),2)
            Id, conf = recognizer.predict(gray[y:y+h,x:x+w])
            print(Id, conf)
            if(conf < 50):
                aa=df.loc[df['Id'] == Id]['Name'].values
                tt=str(Id)+"-"+aa
                if (str(Id)==UserId):
                    df.get ('values')
                    message.configure(text="Face Recognsed Successfully")
                    run=False
            else:
                Id='Unknown'                
                tt=str(Id)            
            cv2.putText(im,str(tt),(x,y+h), font, 1,(255,255,255),2)        
        run_count += 1    
        cv2.imshow('im',im) 
        if (cv2.waitKey(1)==ord('q') or run_count==150):
            message.configure(text="Unable to Recognise Face")
            break
    
    cam.release()
    cv2.destroyAllWindows()
    

def login_submit():
    a=txt.get()
    b=txt2.get()
    if (a in data):
        if(data[a] == b):
            TrackImages(a)
        else:
            message.configure(text="Id and Password does not Match")
    else:
        message.configure(text="Entered Id does not Exists")

    login_clear()