Convert lots of text files to mp3s using Google Text to Speech

google_tts.py

import os
import gtts

from gtts import gTTS
from tqdm import tqdm
from time import sleep
from random import randrange
from datetime import datetime

"""

This will turn:

./book
├── pages
│   ├── p1.txt
│   ├── p2.txt
│   ├── p3.txt
│   └── ...
└── recordings

into:

./book
├── pages
│   ├── p1.txt
│   ├── p2.txt
│   ├── p3.txt
│   └── ...
└── recordings
    ├── p1.mp3
    ├── p2.mp3
    ├── p3.mp3
    └── ...

"""

def page_path(page_number):
    return f"book/pages/p{page_number}.txt"

def recording_path(page_number):
    return f"book/recordings/p{page_number}.mp3"

def save_page(page_number):
    if os.path.exists(recording_path(page_number)):
        return

    print(f"saving page {page_number} at {datetime.now().strftime('%d-%b-%Y (%H:%M:%S)')}")

    with open(page_path(page_number)) as page:
        text = page.read()
        tts = gTTS(text, lang='en')
        tts.save(recording_path(page_number))

    # try and prevent too many requests error
    sleep(randrange(320, 400)) # sleep for at least 5 minutes
    # sleeping for less than 5 minutes means you'll likely get rate-limited by Google

for i in tqdm(range(1, 175 + 1)): # The book I was converting had 175 pages
    save_page(i)

This is powered by the gTTS library: https://github.com/pndurette/gTTS