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GPT-SoVITS
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# modified from https://github.com/CjangCjengh/vits/blob/main/text/japanese.py
import re
import sys

import pyopenjtalk

from text import symbols

# Regular expression matching Japanese without punctuation marks:
_japanese_characters = re.compile(
    r'[A-Za-z\d\u3005\u3040-\u30ff\u4e00-\u9fff\uff11-\uff19\uff21-\uff3a\uff41-\uff5a\uff66-\uff9d]')

# Regular expression matching non-Japanese characters or punctuation marks:
_japanese_marks = re.compile(
    r'[^A-Za-z\d\u3005\u3040-\u30ff\u4e00-\u9fff\uff11-\uff19\uff21-\uff3a\uff41-\uff5a\uff66-\uff9d]')

# List of (symbol, Japanese) pairs for marks:
_symbols_to_japanese = [(re.compile('%s' % x[0]), x[1]) for x in [
    ('οΌ…', 'γƒ‘γƒΌγ‚»γƒ³γƒˆ')
]]


# List of (consonant, sokuon) pairs:
_real_sokuon = [(re.compile('%s' % x[0]), x[1]) for x in [
    (r'Q([↑↓]*[kg])', r'k#\1'),
    (r'Q([↑↓]*[tdjΚ§])', r't#\1'),
    (r'Q([↑↓]*[sΚƒ])', r's\1'),
    (r'Q([↑↓]*[pb])', r'p#\1')
]]

# List of (consonant, hatsuon) pairs:
_real_hatsuon = [(re.compile('%s' % x[0]), x[1]) for x in [
    (r'N([↑↓]*[pbm])', r'm\1'),
    (r'N([↑↓]*[Κ§Κ₯j])', r'n^\1'),
    (r'N([↑↓]*[tdn])', r'n\1'),
    (r'N([↑↓]*[kg])', r'Ε‹\1')
]]



def post_replace_ph(ph):
    rep_map = {
        '：': ',',
        'οΌ›': ',',
        '，': ',',
        '。': '.',
        '！': '!',
        '？': '?',
        '\n': '.',
        "Β·": ",",
        '、': ",",
        '...': '…'
    }
    if ph in rep_map.keys():
        ph = rep_map[ph]
    if ph in symbols:
        return ph
    if ph not in symbols:
        ph = 'UNK'
    return ph

def symbols_to_japanese(text):
    for regex, replacement in _symbols_to_japanese:
        text = re.sub(regex, replacement, text)
    return text


def preprocess_jap(text):
    '''Reference https://r9y9.github.io/ttslearn/latest/notebooks/ch10_Recipe-Tacotron.html'''
    text = symbols_to_japanese(text)
    sentences = re.split(_japanese_marks, text)
    marks = re.findall(_japanese_marks, text)
    text = []
    for i, sentence in enumerate(sentences):
        if re.match(_japanese_characters, sentence):
            p = pyopenjtalk.g2p(sentence)
            text += p.split(" ")

        if i < len(marks):
            text += [marks[i].replace(' ', '')]
    return text

def text_normalize(text):
    # todo: jap text normalize
    return text

def g2p(norm_text):
    phones = preprocess_jap(norm_text)
    phones = [post_replace_ph(i) for i in phones]
    # todo: implement tones and word2ph
    return phones


if __name__ == '__main__':
    for line in open("../../../Downloads/transcript_utf8.txt").readlines():
        text = line.split(":")[1]
        phones = g2p(text)
        print(phones)