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RedditVideoMakerBot/TTS/engine_wrapper.py

185 lines
7.6 KiB

import os
import re
from pathlib import Path
from typing import Tuple
import numpy as np
import translators
from moviepy.audio.AudioClip import AudioClip
from moviepy.audio.fx.volumex import volumex
from moviepy.editor import AudioFileClip
from rich.progress import track
from utils import settings
from utils.console import print_step, print_substep
from utils.voice import sanitize_text
DEFAULT_MAX_LENGTH: int = (
50 # Video length variable, edit this on your own risk. It should work, but it's not supported
)
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.
path (Optional) : The unix style path to save the mp3 files to. This must not have leading or trailing slashes.
max_length (Optional) : The maximum length of the mp3 files in total.
Notes:
tts_module must take the arguments text and filepath.
"""
def __init__(
self,
tts_module,
reddit_object: dict,
path: str = "assets/temp/",
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max_length: int = DEFAULT_MAX_LENGTH,
last_clip_length: int = 0,
):
self.tts_module = tts_module()
self.reddit_object = reddit_object
self.redditid = re.sub(r"[^\w\s-]", "", reddit_object["thread_id"])
self.path = path + self.redditid + "/mp3"
self.max_length = max_length
self.length = 0
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self.last_clip_length = last_clip_length
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def add_periods(
self,
): # adds periods to the end of paragraphs (where people often forget to put them) so tts doesn't blend sentences
for comment in self.reddit_object["comments"]:
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# remove links
regex_urls = r"((http|https)\:\/\/)?[a-zA-Z0-9\.\/\?\:@\-_=#]+\.([a-zA-Z]){2,6}([a-zA-Z0-9\.\&\/\?\:@\-_=#])*"
comment["comment_body"] = re.sub(regex_urls, " ", comment["comment_body"])
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comment["comment_body"] = comment["comment_body"].replace("\n", ". ")
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comment["comment_body"] = re.sub(r"\bAI\b", "A.I", comment["comment_body"])
comment["comment_body"] = re.sub(r"\bAGI\b", "A.G.I", comment["comment_body"])
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if comment["comment_body"][-1] != ".":
comment["comment_body"] += "."
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comment["comment_body"] = comment["comment_body"].replace(". . .", ".")
comment["comment_body"] = comment["comment_body"].replace(".. . ", ".")
comment["comment_body"] = comment["comment_body"].replace(". . ", ".")
comment["comment_body"] = re.sub(r'\."\.', '".', comment["comment_body"])
def run(self) -> Tuple[int, int]:
Path(self.path).mkdir(parents=True, exist_ok=True)
print_step("Saving Text to MP3 files...")
self.add_periods()
self.call_tts("title", process_text(self.reddit_object["thread_title"]))
# processed_text = ##self.reddit_object["thread_post"] != ""
idx = 0
if settings.config["settings"]["storymode"]:
if settings.config["settings"]["storymodemethod"] == 0:
if len(self.reddit_object["thread_post"]) > self.tts_module.max_chars:
self.split_post(self.reddit_object["thread_post"], "postaudio")
else:
self.call_tts("postaudio", process_text(self.reddit_object["thread_post"]))
elif settings.config["settings"]["storymodemethod"] == 1:
for idx, text in track(enumerate(self.reddit_object["thread_post"])):
self.call_tts(f"postaudio-{idx}", process_text(text))
else:
for idx, comment in track(enumerate(self.reddit_object["comments"]), "Saving..."):
# ! Stop creating mp3 files if the length is greater than max length.
if self.length > self.max_length and idx > 1:
self.length -= self.last_clip_length
idx -= 1
break
if (
len(comment["comment_body"]) > self.tts_module.max_chars
): # Split the comment if it is too long
self.split_post(comment["comment_body"], idx) # Split the comment
else: # If the comment is not too long, just call the tts engine
self.call_tts(f"{idx}", process_text(comment["comment_body"]))
print_substep("Saved Text to MP3 files successfully.", style="bold green")
return self.length, idx
def split_post(self, text: str, idx):
split_files = []
split_text = [
x.group().strip()
for x in re.finditer(
r" *(((.|\n){0," + str(self.tts_module.max_chars) + "})(\.|.$))", text
)
]
self.create_silence_mp3()
idy = None
for idy, text_cut in enumerate(split_text):
newtext = process_text(text_cut)
# print(f"{idx}-{idy}: {newtext}\n")
if not newtext or newtext.isspace():
print("newtext was blank because sanitized split text resulted in none")
continue
else:
self.call_tts(f"{idx}-{idy}.part", newtext)
with open(f"{self.path}/list.txt", "w") as f:
for idz in range(0, len(split_text)):
f.write("file " + f"'{idx}-{idz}.part.mp3'" + "\n")
split_files.append(str(f"{self.path}/{idx}-{idy}.part.mp3"))
f.write("file " + f"'silence.mp3'" + "\n")
os.system(
"ffmpeg -f concat -y -hide_banner -loglevel panic -safe 0 "
+ "-i "
+ f"{self.path}/list.txt "
+ "-c copy "
+ f"{self.path}/{idx}.mp3"
)
try:
for i in range(0, len(split_files)):
os.unlink(split_files[i])
except FileNotFoundError as e:
print("File not found: " + e.filename)
except OSError:
print("OSError")
def call_tts(self, filename: str, text: str):
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self.tts_module.run(
text,
filepath=f"{self.path}/{filename}.mp3",
random_voice=settings.config["settings"]["tts"]["random_voice"],
)
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# try:
# self.length += MP3(f"{self.path}/{filename}.mp3").info.length
# except (MutagenError, HeaderNotFoundError):
# self.length += sox.file_info.duration(f"{self.path}/{filename}.mp3")
try:
clip = AudioFileClip(f"{self.path}/{filename}.mp3")
self.last_clip_length = clip.duration
self.length += clip.duration
clip.close()
except:
self.length = 0
def create_silence_mp3(self):
silence_duration = settings.config["settings"]["tts"]["silence_duration"]
silence = AudioClip(
make_frame=lambda t: np.sin(440 * 2 * np.pi * t),
duration=silence_duration,
fps=44100,
)
silence = volumex(silence, 0)
silence.write_audiofile(f"{self.path}/silence.mp3", fps=44100, verbose=False, logger=None)
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def process_text(text: str, clean: bool = True):
lang = settings.config["reddit"]["thread"]["post_lang"]
new_text = sanitize_text(text) if clean else text
if lang:
print_substep("Translating Text...")
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translated_text = translators.translate_text(text, translator="google", to_language=lang)
new_text = sanitize_text(translated_text)
return new_text