Как отсылать данные в БД

import cv2
import numpy as np
import face_recognition
import os
from datetime import datetime
import sqlite3
path = 'ImagesAttendance'
images = [] 
classNames = [] 
myList = os.listdir(path)
print(myList)
for cls in myList:
    curImg = cv2.imread(f'{path}/{cls}')
    images.append(curImg)
    classNames.append(os.path.splitext(cls)[0])
print(classNames)
def findEncodings(images):
    encodeList = []
    for img in images:
        img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
        encode = face_recognition.face_encodings(img)[0]
        encodeList.append(encode)
    return encodeList
def markAttendance(name):
    with open ('Attendance.csv','r+') as f:
        myDataList = f.readlines()
        nameList = []
        for line in myDataList:
            entry = line.split(',')
            nameList.append(entry[0])
        if name not in line:
            now = datetime.now()
            dt_string = now.strftime("%H:%M:%m:%Y")
            f.writelines(f'\n{name},{dt_string}')
encodeListknown = findEncodings(images)
print('Кодирование закончено ')
cap = cv2.VideoCapture(0)
while True:
    success, img = cap.read()
    imgS = cv2.resize(img, (0, 0), fx=0.25, fy=0.25)
    imgS = cv2.cvtColor(imgS, cv2.COLOR_BGR2RGB)
    facesCurFrame = face_recognition.face_locations(imgS)
    encodesCurFrame = face_recognition.face_encodings(imgS, facesCurFrame)
    for encodeFace, faceLoc in zip(encodesCurFrame, facesCurFrame):
        matches = face_recognition.compare_faces(encodeListknown, encodeFace)
        faceDis = face_recognition.face_distance(encodeListknown, encodeFace)
        print(faceDis)
        matchIndex = np.argmin(faceDis)
        if matches[matchIndex]:
            name = classNames[matchIndex].upper()
            y1, x2, y2, x1 = faceLoc
            y1, x2, y2, x1 = y1 * 4, x2 * 4, y2 * 4, x1 * 4
            markAttendance(name)
            if faceDis[matchIndex] < 0.50:
                name = classNames[matchIndex].upper()
                markAttendance(name)
            else:
                name = 'Unknown'
            y1, x2, y2, x1 = faceLoc
            y1, x2, y2, x1 = y1 * 4, x2 * 4, y2 * 4, x1 * 4
    cv2.imshow('webcam', img)
    cv2.waitKey()
    cv2.destroyAllWindows(1)]

>> conn = sqlite3.connect('names.db')
>>> cur = conn.cursor()
>>> cur.execute('create table if not exists names(name text, date datetime)')
>>> cur.execute('insert into names values(?,?)',(name,date_time,))
>>> conn.commit()
>>>conn.close()