mirror of
https://github.com/RVC-Boss/GPT-SoVITS.git
synced 2025-04-06 03:57:44 +08:00
17832e5c4a
使t2s模型支持批量推理: GPT_SoVITS/AR/models/t2s_model.py
修复batch bug GPT_SoVITS/AR/models/utils.py
重构的tts infer GPT_SoVITS/TTS_infer_pack/TTS.py
文本预处理模块 GPT_SoVITS/TTS_infer_pack/TextPreprocessor.py
new file GPT_SoVITS/TTS_infer_pack/__init__.py
文本拆分方法模块 GPT_SoVITS/TTS_infer_pack/text_segmentation_method.py
tts infer配置文件 GPT_SoVITS/configs/tts_infer.yaml
modified GPT_SoVITS/feature_extractor/cnhubert.py
modified GPT_SoVITS/inference_gui.py
重构的webui GPT_SoVITS/inference_webui.py
new file GPT_SoVITS/inference_webui_old.py
126 lines
3.3 KiB
Python
126 lines
3.3 KiB
Python
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import re
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from typing import Callable
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from tools.i18n.i18n import I18nAuto
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i18n = I18nAuto()
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METHODS = dict()
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def get_method(name:str)->Callable:
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method = METHODS.get(name, None)
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if method is None:
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raise ValueError(f"Method {name} not found")
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return method
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def register_method(name):
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def decorator(func):
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METHODS[name] = func
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return func
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return decorator
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splits = {"，", "。", "？", "！", ",", ".", "?", "!", "~", ":", "：", "—", "…", }
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def split(todo_text):
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todo_text = todo_text.replace("……", "。").replace("——", "，")
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if todo_text[-1] not in splits:
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todo_text += "。"
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i_split_head = i_split_tail = 0
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len_text = len(todo_text)
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todo_texts = []
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while 1:
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if i_split_head >= len_text:
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break # 结尾一定有标点，所以直接跳出即可，最后一段在上次已加入
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if todo_text[i_split_head] in splits:
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i_split_head += 1
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todo_texts.append(todo_text[i_split_tail:i_split_head])
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i_split_tail = i_split_head
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else:
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i_split_head += 1
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return todo_texts
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# 不切
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@register_method("cut0")
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def cut0(inp):
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return inp
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# 凑四句一切
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@register_method("cut1")
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def cut1(inp):
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inp = inp.strip("\n")
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inps = split(inp)
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split_idx = list(range(0, len(inps), 4))
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split_idx[-1] = None
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if len(split_idx) > 1:
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opts = []
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for idx in range(len(split_idx) - 1):
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opts.append("".join(inps[split_idx[idx]: split_idx[idx + 1]]))
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else:
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opts = [inp]
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return "\n".join(opts)
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# 凑50字一切
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@register_method("cut2")
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def cut2(inp):
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inp = inp.strip("\n")
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inps = split(inp)
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if len(inps) < 2:
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return inp
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opts = []
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summ = 0
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tmp_str = ""
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for i in range(len(inps)):
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summ += len(inps[i])
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tmp_str += inps[i]
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if summ > 50:
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summ = 0
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opts.append(tmp_str)
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tmp_str = ""
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if tmp_str != "":
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opts.append(tmp_str)
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# print(opts)
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if len(opts) > 1 and len(opts[-1]) < 50: ##如果最后一个太短了，和前一个合一起
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opts[-2] = opts[-2] + opts[-1]
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opts = opts[:-1]
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return "\n".join(opts)
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# 按中文句号。切
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@register_method("cut3")
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def cut3(inp):
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inp = inp.strip("\n")
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return "\n".join(["%s" % item for item in inp.strip("。").split("。")])
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#按英文句号.切
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@register_method("cut4")
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def cut4(inp):
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inp = inp.strip("\n")
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return "\n".join(["%s" % item for item in inp.strip(".").split(".")])
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# 按标点符号切
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# contributed by https://github.com/AI-Hobbyist/GPT-SoVITS/blob/main/GPT_SoVITS/inference_webui.py
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@register_method("cut5")
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def cut5(inp):
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# if not re.search(r'[^\w\s]', inp[-1]):
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# inp += '。'
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inp = inp.strip("\n")
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punds = r'[,.;?!、，。？！;：…]'
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items = re.split(f'({punds})', inp)
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mergeitems = ["".join(group) for group in zip(items[::2], items[1::2])]
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# 在句子不存在符号或句尾无符号的时候保证文本完整
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if len(items)%2 == 1:
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mergeitems.append(items[-1])
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opt = "\n".join(mergeitems)
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return opt
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if __name__ == '__main__':
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method = get_method("cut1")
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print(method("你好，我是小明。你好，我是小红。你好，我是小刚。你好，我是小张。"))
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