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import regex as re
import logging
import config
from fastlid import fastlid
from .utils import check_is_none
logger = logging.getLogger("vits-simple-api")
level = getattr(config, "LOGGING_LEVEL", "DEBUG")
level_dict = {'DEBUG': logging.DEBUG, 'INFO': logging.INFO, 'WARNING': logging.WARNING, 'ERROR': logging.ERROR,
'CRITICAL': logging.CRITICAL}
logger.setLevel(level_dict[level])
def clasify_lang(text):
pattern = r'[\!\"\#\$\%\&\'\(\)\*\+\,\-\.\/\:\;\<\>\=\?\@\[\]\{\}\\\\\^\_\`' \
r'\！？｡＂＃＄％＆＇（）＊＋，－／：；＜＝＞＠［＼］＾＿｀｛｜｝～｟｠｢｣､、〃》「」' \
r'『』【】〔〕〖〗〘〙〚〛〜〝〞〟〰〾〿–—‘\'\‛\“\”\„\‟…‧﹏.]+'
words = re.split(pattern, text)
pre = ""
p = 0
for word in words:
if check_is_none(word): continue
lang = fastlid(word)[0]
if pre == "":
text = text[:p] + text[p:].replace(word, f'[{lang.upper()}]' + word, 1)
p += len(f'[{lang.upper()}]')
elif pre != lang:
text = text[:p] + text[p:].replace(word, f'[{pre.upper()}][{lang.upper()}]' + word, 1)
p += len(f'[{pre.upper()}][{lang.upper()}]')
pre = lang
p += text[p:].index(word) + len(word)
text += f"[{pre.upper()}]"
return text
def cut(text, max):
pattern = r'[\!\(\)\,\-\.\/\:\;\?\？\。\，\、\；\：]+'
sentences = re.split(pattern, text)
sentence_list = []
count = 0
p = 0
for sentence in sentences:
count += len(sentence) + 1
if count >= max:
sentence_list.append(text[p:p + count])
p += count
count = 0
if p < len(text):
sentence_list.append(text[p:])
return sentence_list
def sentence_split(text, max=50, lang="auto", speaker_lang=None):
# 如果该speaker只支持一种语言
if speaker_lang is not None and len(speaker_lang) == 1:
if lang.upper() not in ["AUTO", "MIX"] and lang.lower() != speaker_lang[0]:
logger.debug(
f"lang \"{lang}\" is not in speaker_lang {speaker_lang},automatically set lang={speaker_lang[0]}")
lang = speaker_lang[0]
else:
fastlid.set_languages = speaker_lang
sentence_list = []
if lang.upper() != "MIX":
if max <= 0:
sentence_list.append(
clasify_lang(text) if lang.upper() == "AUTO" else f"[{lang.upper()}]{text}[{lang.upper()}]")
else:
for i in cut(text, max):
if check_is_none(i): continue
sentence_list.append(
clasify_lang(i) if lang.upper() == "AUTO" else f"[{lang.upper()}]{i}[{lang.upper()}]")
else:
sentence_list.append(text)
for i in sentence_list:
logger.debug(i)
return sentence_list
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