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RedditVideoMakerBot/TTS/engine_wrapper.py

138 lines
4.5 KiB

#!/usr/bin/env python3
from pathlib import Path
from typing import Union
import translators as ts
from rich.progress import track
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from attr import attrs, attrib
from utils.console import print_step, print_substep
from utils.voice import sanitize_text
from utils import settings
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from TTS.common import audio_length
from TTS.GTTS import GTTS
from TTS.streamlabs_polly import StreamlabsPolly
from TTS.TikTok import TikTok
from TTS.aws_polly import AWSPolly
@attrs
class TTSEngine:
"""Calls the given TTS engine to reduce code duplication and allow multiple TTS engines.
Args:
tts_module : The TTS module. Your module should handle the TTS itself and saving to the given path under the run method.
reddit_object : The reddit object that contains the posts to read.
Notes:
tts_module must take the arguments text and filepath.
"""
tts_module: Union[GTTS, StreamlabsPolly, TikTok, AWSPolly] = attrib()
reddit_object: dict = attrib()
__path: str = 'assets/temp/mp3'
__total_length: int = 0
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def __attrs_post_init__(self):
# Calls an instance of the tts_module class
self.tts_module = self.tts_module()
# Loading settings from the config
self.max_length: int = settings.config['settings']['video_length']
self.time_before_tts: float = settings.config['settings']['time_before_tts']
self.time_between_pictures: float = settings.config['settings']['time_between_pictures']
self.__total_length = (
settings.config['settings']['time_before_first_picture'] +
settings.config['settings']['delay_before_end']
)
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def run(
self
) -> list:
"""
Voices over comments & title of the submission
Returns:
Indexes of comments to be used in the final video
"""
Path(self.__path).mkdir(parents=True, exist_ok=True)
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# This file needs to be removed in case this post does not use post text
# so that it won't appear in the final video
try:
Path(f'{self.__path}/posttext.mp3').unlink()
except OSError:
pass
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print_step('Saving Text to MP3 files...')
self.call_tts('title', self.reddit_object['thread_title'])
if self.reddit_object['thread_post'] and settings.config['settings']['storymode']:
self.call_tts('posttext', self.reddit_object['thread_post'])
sync_tasks_primary = [
self.call_tts(str(idx), comment['comment_body'])
for idx, comment in track(enumerate(self.reddit_object['comments']), description='Saving...')
# Crunch, there will be fix in async TTS api
if self.__total_length + self.__total_length * 0.05 < self.max_length
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]
print_substep('Saved Text to MP3 files successfully.', style='bold green')
return [
comments for comments, condition in
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zip(range(self.reddit_object['comments'].__len__()), sync_tasks_primary)
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if condition
]
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def call_tts(
self,
filename: str,
text: str
) -> bool:
"""
Calls for TTS api from the factory
Args:
filename: name of audio file w/o .mp3
text: text to be voiced over
Returns:
True if audio files not exceeding the maximum length else false
"""
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if not text:
return False
self.tts_module.run(
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text=self.process_text(text),
filepath=f'{self.__path}/{filename}.mp3'
)
clip_length = audio_length(f'{self.__path}/{filename}.mp3')
clip_offset = self.time_between_pictures + self.time_before_tts * 2
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if clip_length and self.__total_length + clip_length + clip_offset <= self.max_length:
self.__total_length += clip_length + clip_offset
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return True
return False
@staticmethod
def process_text(
text: str,
) -> str:
"""
Sanitizes text for illegal characters and translates text
Args:
text: text to be sanitized & translated
Returns:
Processed text as a str
"""
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lang = settings.config['reddit']['thread']['post_lang']
new_text = sanitize_text(text)
if lang:
print_substep('Translating Text...')
translated_text = ts.google(text, to_language=lang)
new_text = sanitize_text(translated_text)
return new_text