URL to Audio

 from distutils.filelist import findall

from selenium import webdriver

from selenium.webdriver.common.keys import Keys

import pandas as pd

import os

import googletrans

from googletrans import Translator

from PIL import Image

try:

driver = webdriver.Chrome('/Users/jitendersingh/Downloads/chromedriver')

driver.set_page_load_timeout(40)

driver.get('https://www.1mg.com/hi/drugs/vinlep-150-tablet-25164')

#driver.implicitly_wait(20)

players = driver.find_element_by_class_name('DrugOverview__content___22ZBX').text

#driver.implicitly_wait(10)

driver.find_element_by_css_selector('.styles__selector___3W00I').click()

#driver.implicitly_wait(10)

driver.find_element_by_css_selector('.styles__lang-link___3ISYW span').click()

#driver.implicitly_wait(10)

tabname = driver.find_element_by_class_name('DrugHeader__title-content___2ZaPo').text

#driver.implicitly_wait(10)

tabnamee = tabname.replace("/"," ").replace(" /"," ").replace("/ "," ").replace(" / "," ")

translator = Translator(service_urls=['translate.googleapis.com'])

translate_channel = translator.translate(players, dest='hi')

final = translate_channel.text.replace(" हैं "," हैं,").replace(" या "," या, ").replace(" और "," और, ").replace(" जैसे "," जैसे, ").replace(" ("," , यानि की ( ").replace(" क्योकि क्योकि "," क्योकि ").replace(" हैं "," हैं, ").replace("-"," ")

file =open("/Users/jitendersingh/Desktop/filename.txt", "w")

file.write(final)

file.flush()

file.close

driver.quit()

import os

os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = '/Users/jitendersingh/Documents/api.json'

def synthesize_ssml(ssml,

booktitle,

language_code,

voice_name,

speaking_rate

):

from google.cloud import texttospeech

client = texttospeech.TextToSpeechClient()

input_text = texttospeech.SynthesisInput(ssml=ssml)

# Note: the voice can also be specified by name.

# Names of voices can be retrieved with client.list_voices().

voice = texttospeech.VoiceSelectionParams(

language_code=language_code,

name=voice_name

)

audio_config = texttospeech.AudioConfig(

audio_encoding=texttospeech.AudioEncoding.LINEAR16,

speaking_rate = speaking_rate

)

response = client.synthesize_speech(

input=input_text, voice=voice, audio_config=audio_config

)

# The response's audio_content is binary.

with open("/Users/jitendersingh/Documents/jitenderaud/"+tabnamee+".wav", "wb") as out:

out.write(response.audio_content)

import json

folder_path = '/Users/jitendersingh/Desktop/'

booktitle = "filename"

filename = folder_path + booktitle + ".txt"

print(filename)

with open(filename, 'r') as f:

text = f.read()

f.close()

print(text)

Emily = synthesize_ssml(text,

booktitle,

language_code = "hi-IN",

voice_name = "hi-IN-Wavenet-A",

speaking_rate = 0

)

#os.system("ffmpeg -i \"/Users/jitendersingh/Documents/jitenderaud/"+tabnamee+".wav\" -b:a 320000 \"/Users/jitendersingh/Documents/jitenderaud/"+tabnamee+".m4a\"")

#os.remove("/Users/jitendersingh/Documents/jitenderaud/"+tabnamee+".wav")

im = Image.open(r"/Users/jitendersingh/Documents/tik.png")

im.show()

except:

im = Image.open(r"/Users/jitendersingh/Documents/redtik.png")

im.show()