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