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145 lines
5.0 KiB
145 lines
5.0 KiB
import base64
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import os
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import random
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import re
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import requests
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import sox
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from moviepy.audio.AudioClip import concatenate_audioclips, CompositeAudioClip
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from moviepy.audio.io.AudioFileClip import AudioFileClip
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from requests.adapters import HTTPAdapter, Retry
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# from profanity_filter import ProfanityFilter
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# pf = ProfanityFilter()
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# Code by @JasonLovesDoggo
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# https://twitter.com/scanlime/status/1512598559769702406
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nonhuman = [ # DISNEY VOICES
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"en_us_ghostface", # Ghost Face
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"en_us_chewbacca", # Chewbacca
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"en_us_c3po", # C3PO
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"en_us_stitch", # Stitch
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"en_us_stormtrooper", # Stormtrooper
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"en_us_rocket", # Rocket
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# ENGLISH VOICES
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]
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human = [
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"en_au_001", # English AU - Female
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"en_au_002", # English AU - Male
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"en_uk_001", # English UK - Male 1
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"en_uk_003", # English UK - Male 2
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"en_us_001", # English US - Female (Int. 1)
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"en_us_002", # English US - Female (Int. 2)
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"en_us_006", # English US - Male 1
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"en_us_007", # English US - Male 2
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"en_us_009", # English US - Male 3
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"en_us_010",
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]
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voices = nonhuman + human
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noneng = [
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"fr_001", # French - Male 1
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"fr_002", # French - Male 2
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"de_001", # German - Female
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"de_002", # German - Male
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"es_002", # Spanish - Male
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# AMERICA VOICES
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"es_mx_002", # Spanish MX - Male
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"br_001", # Portuguese BR - Female 1
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"br_003", # Portuguese BR - Female 2
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"br_004", # Portuguese BR - Female 3
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"br_005", # Portuguese BR - Male
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# ASIA VOICES
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"id_001", # Indonesian - Female
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"jp_001", # Japanese - Female 1
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"jp_003", # Japanese - Female 2
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"jp_005", # Japanese - Female 3
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"jp_006", # Japanese - Male
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"kr_002", # Korean - Male 1
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"kr_003", # Korean - Female
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"kr_004", # Korean - Male 2
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]
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# good_voices = {'good': ['en_us_002', 'en_us_006'],
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# 'ok': ['en_au_002', 'en_uk_001']} # less en_us_stormtrooper more less en_us_rocket en_us_ghostface
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class TikTok: # TikTok Text-to-Speech Wrapper
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def __init__(self):
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self.URI_BASE = "https://api16-normal-useast5.us.tiktokv.com/media/api/text/speech/invoke/?text_speaker="
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def tts(
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self,
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req_text: str = "TikTok Text To Speech",
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filename: str = "title.mp3",
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random_speaker: bool = False,
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censer=False,
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):
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req_text = req_text.replace("+", "plus").replace(" ", "+").replace("&", "and")
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if censer:
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# req_text = pf.censor(req_text)
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pass
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voice = (
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self.randomvoice()
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if random_speaker
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else (os.getenv("VOICE") or random.choice(human))
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)
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chunks = [
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m.group().strip() for m in re.finditer(r" *((.{0,299})(\.|.$))", req_text)
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]
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audio_clips = []
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cbn = sox.Combiner()
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# cbn.set_input_format(file_type=["mp3" for _ in chunks])
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chunkId = 0
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for chunk in chunks:
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try:
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r = requests.post(
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f"{self.URI_BASE}{voice}&req_text={chunk}&speaker_map_type=0"
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)
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except requests.exceptions.SSLError:
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# https://stackoverflow.com/a/47475019/18516611
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session = requests.Session()
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retry = Retry(connect=3, backoff_factor=0.5)
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adapter = HTTPAdapter(max_retries=retry)
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session.mount("http://", adapter)
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session.mount("https://", adapter)
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r = session.post(
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f"{self.URI_BASE}{voice}&req_text={chunk}&speaker_map_type=0"
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)
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print(r.text)
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vstr = [r.json()["data"]["v_str"]][0]
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b64d = base64.b64decode(vstr)
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with open(filename.replace(".mp3", f"-{chunkId}.mp3"), "wb") as out:
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out.write(b64d)
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audio_clips.append(filename.replace(".mp3", f"-{chunkId}.mp3"))
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chunkId = chunkId + 1
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try:
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if len(audio_clips) > 1:
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cbn.convert(samplerate=44100, n_channels=2)
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cbn.build(audio_clips, filename, "concatenate")
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else:
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os.rename(audio_clips[0], filename)
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except (sox.core.SoxError, FileNotFoundError): # https://github.com/JasonLovesDoggo/RedditVideoMakerBot/issues/67#issuecomment-1150466339
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for clip in audio_clips:
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i = audio_clips.index(clip) # get the index of the clip
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audio_clips = (
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audio_clips[:i] + [AudioFileClip(clip)] + audio_clips[i + 1 :]
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) # replace the clip with an AudioFileClip
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audio_concat = concatenate_audioclips(audio_clips)
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audio_composite = CompositeAudioClip([audio_concat])
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audio_composite.write_audiofile(filename, 44100, 2, 2000, None)
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@staticmethod
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def randomvoice():
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ok_or_good = random.randrange(1, 10)
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if ok_or_good == 1: # 1/10 chance of ok voice
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return random.choice(voices)
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return random.choice(human) # 9/10 chance of good voice
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