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Forked from madebyollin/make_audiobook.py
Last active June 16, 2022 21:50
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Converts an epub or text file to audiobook via Google Cloud TTS
#!/usr/bin/env python3
"""
Updated 2022-06-16 with removal of enums and types in TTS API, fix of synthesize_speech function
To use:
1. install/set-up the google cloud api and dependencies listed on https://github.com/GoogleCloudPlatform/python-docs-samples/tree/master/texttospeech/cloud-client
2. install pandoc and pypandoc, also tqdm
3. create and download a service_account.json ("Service account key") from https://console.cloud.google.com/apis/credentials
4. run GOOGLE_APPLICATION_CREDENTIALS=service_account.json python make_audiobook.py book_name.epub
"""
import re
import sys
import time
from datetime import datetime as dt
from pathlib import Path
from google.cloud import texttospeech
from tqdm import tqdm
import pypandoc
# see https://cloud.google.com/text-to-speech/quotas
MAX_REQUESTS_PER_MINUTE = 200
MAX_CHARS_PER_MINUTE = 135000
def book_to_text(book_file):
try:
return pypandoc.convert_file(book_file, "plain", extra_args=["--wrap=none"])
except RuntimeError:
print("Format not recognized. Treating as plain text...")
with open(book_file, encoding="utf-8") as book:
return book.read()
def clean_text_chunk(text_chunk):
# remove _italics_
text_chunk = re.sub(r"_", " ", text_chunk)
# remove --- hyphens for footnotes
text_chunk = re.sub(r"(\-{3,})", "Footnote:", text_chunk)
return text_chunk
class Narrator:
def __init__(self, voice_name="en-US-Wavenet-F"):
self.client = texttospeech.TextToSpeechClient()
self.voice = texttospeech.VoiceSelectionParams(
language_code="en-US", name=voice_name
)
self.audio_config = texttospeech.AudioConfig(
audio_encoding=texttospeech.AudioEncoding.MP3
)
# rate limit stuff
self._minute = -1
self._requests_this_minute = 0
self._chars_this_minute = 0
def print_voice_names(self, lang="en"):
print("Available voices for language {}:".format(lang))
for voice in self.client.list_voices().voices:
if voice.name.startswith(lang):
print(voice.name)
def _rate_limit(self):
if (
self._requests_this_minute > MAX_REQUESTS_PER_MINUTE
or self._chars_this_minute > MAX_CHARS_PER_MINUTE
):
while dt.now().minute == self._minute:
time.sleep(5)
if dt.now().minute != self._minute:
self._minute = dt.now().minute
self._requests_this_minute = 0
self._chars_this_minute = 0
def _text_chunk_to_audio_chunk(self, text_chunk):
self._rate_limit()
input_text = texttospeech.SynthesisInput(text=text_chunk)
response = self.client.synthesize_speech(
input=input_text, voice=self.voice, audio_config=self.audio_config
)
self._requests_this_minute += 1
self._chars_this_minute += len(text_chunk)
return response.audio_content
def text_to_mp3(self, text, file_dest):
assert file_dest.suffix == ".mp3"
lines = text.splitlines()
with file_dest.open("wb") as out:
for i, text_chunk in enumerate(tqdm(lines, desc=file_dest.stem)):
# skip empty lines
if text_chunk:
text_chunk = clean_text_chunk(text_chunk)
audio_chunk = self._text_chunk_to_audio_chunk(text_chunk)
# this is fine because mp3s can be concatenated naively and still work
out.write(audio_chunk)
def main():
if not sys.argv[1:]:
print(
"Usage: GOOGLE_APPLICATION_CREDENTIALS=service_account.json {} book_name.epub".format(
sys.argv[0]
)
)
sys.exit(1)
narrator = Narrator()
# narrator.print_voice_names()
for book_file in sys.argv[1:]:
text = book_to_text(book_file)
mp3_path = Path(book_file).with_suffix(".mp3")
narrator.text_to_mp3(text, mp3_path)
print("Generated mp3", mp3_path)
# I have another script that uploads to overcast...
# import subprocess as sp
# sp.call("upload.py '" + str(mp3_path) + "'", shell=True)
if __name__ == "__main__":
main()
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