Spaces:
Runtime error
Runtime error
| """ | |
| @Desc: 全局配置文件读取 | |
| """ | |
| import argparse | |
| import yaml | |
| from typing import Dict, List | |
| import os | |
| import shutil | |
| import sys | |
| class Resample_config: | |
| """重采样配置""" | |
| def __init__(self, in_dir: str, out_dir: str, sampling_rate: int = 44100): | |
| self.sampling_rate: int = sampling_rate # 目标采样率 | |
| self.in_dir: str = in_dir # 待处理音频目录路径 | |
| self.out_dir: str = out_dir # 重采样输出路径 | |
| def from_dict(cls, dataset_path: str, data: Dict[str, any]): | |
| """从字典中生成实例""" | |
| # 不检查路径是否有效，此逻辑在resample.py中处理 | |
| data["in_dir"] = os.path.join(dataset_path, data["in_dir"]) | |
| data["out_dir"] = os.path.join(dataset_path, data["out_dir"]) | |
| return cls(**data) | |
| class Preprocess_text_config: | |
| """数据预处理配置""" | |
| def __init__( | |
| self, | |
| transcription_path: str, | |
| cleaned_path: str, | |
| train_path: str, | |
| val_path: str, | |
| config_path: str, | |
| val_per_spk: int = 5, | |
| max_val_total: int = 10000, | |
| clean: bool = True, | |
| ): | |
| self.transcription_path: str = transcription_path # 原始文本文件路径，文本格式应为{wav_path}|{speaker_name}|{language}|{text}。 | |
| self.cleaned_path: str = cleaned_path # 数据清洗后文本路径，可以不填。不填则将在原始文本目录生成 | |
| self.train_path: str = train_path # 训练集路径，可以不填。不填则将在原始文本目录生成 | |
| self.val_path: str = val_path # 验证集路径，可以不填。不填则将在原始文本目录生成 | |
| self.config_path: str = config_path # 配置文件路径 | |
| self.val_per_spk: int = val_per_spk # 每个speaker的验证集条数 | |
| self.max_val_total: int = max_val_total # 验证集最大条数，多于的会被截断并放到训练集中 | |
| self.clean: bool = clean # 是否进行数据清洗 | |
| def from_dict(cls, dataset_path: str, data: Dict[str, any]): | |
| """从字典中生成实例""" | |
| data["transcription_path"] = os.path.join( | |
| dataset_path, data["transcription_path"] | |
| ) | |
| if data["cleaned_path"] == "" or data["cleaned_path"] is None: | |
| data["cleaned_path"] = None | |
| else: | |
| data["cleaned_path"] = os.path.join(dataset_path, data["cleaned_path"]) | |
| data["train_path"] = os.path.join(dataset_path, data["train_path"]) | |
| data["val_path"] = os.path.join(dataset_path, data["val_path"]) | |
| data["config_path"] = os.path.join(dataset_path, data["config_path"]) | |
| return cls(**data) | |
| class Bert_gen_config: | |
| """bert_gen 配置""" | |
| def __init__( | |
| self, | |
| config_path: str, | |
| num_processes: int = 2, | |
| device: str = "cuda", | |
| use_multi_device: bool = False, | |
| ): | |
| self.config_path = config_path | |
| self.num_processes = num_processes | |
| self.device = device | |
| self.use_multi_device = use_multi_device | |
| def from_dict(cls, dataset_path: str, data: Dict[str, any]): | |
| data["config_path"] = os.path.join(dataset_path, data["config_path"]) | |
| return cls(**data) | |
| class Emo_gen_config: | |
| """emo_gen 配置""" | |
| def __init__( | |
| self, | |
| config_path: str, | |
| num_processes: int = 2, | |
| device: str = "cuda", | |
| ): | |
| self.config_path = config_path | |
| self.num_processes = num_processes | |
| self.device = device | |
| def from_dict(cls, dataset_path: str, data: Dict[str, any]): | |
| data["config_path"] = os.path.join(dataset_path, data["config_path"]) | |
| return cls(**data) | |
| class Train_ms_config: | |
| """训练配置""" | |
| def __init__( | |
| self, | |
| config_path: str, | |
| env: Dict[str, any], | |
| base: Dict[str, any], | |
| model: str, | |
| num_workers: int, | |
| spec_cache: bool, | |
| keep_ckpts: int, | |
| ): | |
| self.env = env # 需要加载的环境变量 | |
| self.base = base # 底模配置 | |
| self.model = model # 训练模型存储目录，该路径为相对于dataset_path的路径，而非项目根目录 | |
| self.config_path = config_path # 配置文件路径 | |
| self.num_workers = num_workers # worker数量 | |
| self.spec_cache = spec_cache # 是否启用spec缓存 | |
| self.keep_ckpts = keep_ckpts # ckpt数量 | |
| def from_dict(cls, dataset_path: str, data: Dict[str, any]): | |
| # data["model"] = os.path.join(dataset_path, data["model"]) | |
| data["config_path"] = os.path.join(dataset_path, data["config_path"]) | |
| return cls(**data) | |
| class Webui_config: | |
| """webui 配置""" | |
| def __init__( | |
| self, | |
| device: str, | |
| model: str, | |
| config_path: str, | |
| language_identification_library: str, | |
| port: int = 7860, | |
| share: bool = False, | |
| debug: bool = False, | |
| ): | |
| self.device: str = device | |
| self.model: str = model # 端口号 | |
| self.config_path: str = config_path # 是否公开部署，对外网开放 | |
| self.port: int = port # 是否开启debug模式 | |
| self.share: bool = share # 模型路径 | |
| self.debug: bool = debug # 配置文件路径 | |
| self.language_identification_library: str = ( | |
| language_identification_library # 语种识别库 | |
| ) | |
| def from_dict(cls, dataset_path: str, data: Dict[str, any]): | |
| data["config_path"] = os.path.join(dataset_path, data["config_path"]) | |
| data["model"] = os.path.join(dataset_path, data["model"]) | |
| return cls(**data) | |
| class Server_config: | |
| def __init__( | |
| self, models: List[Dict[str, any]], port: int = 5000, device: str = "cuda" | |
| ): | |
| self.models: List[Dict[str, any]] = models # 需要加载的所有模型的配置 | |
| self.port: int = port # 端口号 | |
| self.device: str = device # 模型默认使用设备 | |
| def from_dict(cls, data: Dict[str, any]): | |
| return cls(**data) | |
| class Translate_config: | |
| """翻译api配置""" | |
| def __init__(self, app_key: str, secret_key: str): | |
| self.app_key = app_key | |
| self.secret_key = secret_key | |
| def from_dict(cls, data: Dict[str, any]): | |
| return cls(**data) | |
| class Config: | |
| def __init__(self, config_path: str): | |
| if not os.path.isfile(config_path) and os.path.isfile("default_config.yml"): | |
| shutil.copy(src="default_config.yml", dst=config_path) | |
| print( | |
| f"已根据默认配置文件default_config.yml生成配置文件{config_path}。请按该配置文件的说明进行配置后重新运行。" | |
| ) | |
| print("如无特殊需求，请勿修改default_config.yml或备份该文件。") | |
| sys.exit(0) | |
| with open(file=config_path, mode="r", encoding="utf-8") as file: | |
| yaml_config: Dict[str, any] = yaml.safe_load(file.read()) | |
| dataset_path: str = yaml_config["dataset_path"] | |
| openi_token: str = yaml_config["openi_token"] | |
| self.dataset_path: str = dataset_path | |
| self.mirror: str = yaml_config["mirror"] | |
| self.openi_token: str = openi_token | |
| self.resample_config: Resample_config = Resample_config.from_dict( | |
| dataset_path, yaml_config["resample"] | |
| ) | |
| self.preprocess_text_config: Preprocess_text_config = ( | |
| Preprocess_text_config.from_dict( | |
| dataset_path, yaml_config["preprocess_text"] | |
| ) | |
| ) | |
| self.bert_gen_config: Bert_gen_config = Bert_gen_config.from_dict( | |
| dataset_path, yaml_config["bert_gen"] | |
| ) | |
| self.train_ms_config: Train_ms_config = Train_ms_config.from_dict( | |
| dataset_path, yaml_config["train_ms"] | |
| ) | |
| self.webui_config: Webui_config = Webui_config.from_dict( | |
| dataset_path, yaml_config["webui"] | |
| ) | |
| self.server_config: Server_config = Server_config.from_dict( | |
| yaml_config["server"] | |
| ) | |
| self.translate_config: Translate_config = Translate_config.from_dict( | |
| yaml_config["translate"] | |
| ) | |
| parser = argparse.ArgumentParser() | |
| # 为避免与以前的config.json起冲突，将其更名如下 | |
| parser.add_argument("-y", "--yml_config", type=str, default="config.yml") | |
| args, _ = parser.parse_known_args() | |
| config = Config(args.yml_config) | |