online class automation (google meet)

 import pyttsx3

from selenium.webdriver.support.ui import Select

from selenium.webdriver.common.keys import Keys

from selenium import webdriver

import pyautogui

from playsound import playsound

import time

import speech_recognition as sr

import pyaudio

ghs = 1

r = sr.Recognizer()

askformeet = "what is your online class link\n"

classurl = input(askformeet)

browser = webdriver.Chrome('D:\\chromedriver.exe')

browser.get('https://accounts.google.com/b/0/AddMailService')

time.sleep(1)

login = browser.find_element_by_xpath('//*[@id="identifierId"]')

login.send_keys('yourgmailid@gmail.com')

login.send_keys(Keys.ENTER)

time.sleep(1)

loginpwd = browser.find_element_by_xpath('//*[@id="password"]/div[1]/div/div[1]/input')

loginpwd.send_keys('your password')

loginpwd.send_keys(Keys.ENTER)

time.sleep(3)

browser.get(classurl)

time.sleep(2)

pyautogui.press('TAB')

pyautogui.press('TAB')

pyautogui.press('enter')

time.sleep(7)

join = browser.find_element_by_xpath('//*[@id="yDmH0d"]/c-wiz/div/div/div[4]/div[3]/div/div[2]/div/div/div[2]/div/div[2]/div/div[1]/div[1]/span/span')

join.click()

while ghs == 1:

 print('while loop started')

 import pyaudio

 import wave

 # the file name output you want to record into

 filename = "na.wav"

 #  set the chunk size of 1024 samples

 chunk = 1024

 # sample format

 FORMAT = pyaudio.paInt16

 # mono, change to 2 if you want stereo

 channels = 1

 # 44100 samples per second

 sample_rate = 44100

 record_seconds = 5

 # initialize PyAudio object

 p = pyaudio.PyAudio()

 # open stream object as input & output

 stream = p.open(format=FORMAT,

                channels=channels,

                rate=sample_rate,

                input=True,

                output=True,

                frames_per_buffer=chunk)

 frames = []

 print("Recording...")

 for i in range(int(44100 / chunk * record_seconds)):

    data = stream.read(chunk)

    # if you want to hear your voice while recording

    # stream.write(data)

    frames.append(data)

 print("Finished recording.")

 # stop and close stream

 stream.stop_stream()

 stream.close()

 # terminate pyaudio object

 p.terminate()

 # save audio file

 # open the file in 'write bytes' mode

 wf = wave.open(filename, "wb")

 # set the channels

 wf.setnchannels(channels)

 # set the sample format

 wf.setsampwidth(p.get_sample_size(FORMAT))

 # set the sample rate

 wf.setframerate(sample_rate)

  # write the frames as bytes

 wf.writeframes(b"".join(frames))

 # close the file

 wf.close()

 

 r = sr.Recognizer()

 with sr.AudioFile(filename) as source:

     audio = r.listen(source)

     try:

        text = r.recognize_google(audio)

        print('working on it.....')

        print(text)

        mamsaid = text.lower()

        if 'aditya' in mamsaid:

          print('mam took your name')

          playsound("newringtone2020hindi.mp3")

        if 'bye' in mamsaid:

            pyautogui.click(797,762)

            time.sleep(1)

            pyautogui.click(797,762)

            ghs = ghs + 4

        if 'bye' in mamsaid:

         pyautogui.click(798,816)

         time.sleep(1)

         pyautogui.click(798,816)

         ghs = ghs + 4

     # recognize (convert from speech to text)

     except:

        print('nothing fancy goning on')