mirror of https://github.com/coqui-ai/TTS.git
83 lines
2.5 KiB
Python
83 lines
2.5 KiB
Python
import json
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import os
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import pickle as pickle_tts
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import re
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from shutil import copyfile
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import yaml
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from TTS.utils.generic_utils import find_module
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from .generic_utils import find_module
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class RenamingUnpickler(pickle_tts.Unpickler):
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"""Overload default pickler to solve module renaming problem"""
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def find_class(self, module, name):
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return super().find_class(module.replace("mozilla_voice_tts", "TTS"), name)
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class AttrDict(dict):
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"""A custom dict which converts dict keys
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to class attributes"""
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def __init__(self, *args, **kwargs):
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super().__init__(*args, **kwargs)
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self.__dict__ = self
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def read_json_with_comments(json_path):
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"""DEPRECATED"""
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# fallback to json
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with open(json_path, "r", encoding="utf-8") as f:
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input_str = f.read()
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# handle comments
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input_str = re.sub(r"\\\n", "", input_str)
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input_str = re.sub(r"//.*\n", "\n", input_str)
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data = json.loads(input_str)
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return data
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def load_config(config_path: str) -> None:
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config_dict = {}
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ext = os.path.splitext(config_path)[1]
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if ext in (".yml", ".yaml"):
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with open(config_path, "r", encoding="utf-8") as f:
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data = yaml.safe_load(f)
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elif ext == ".json":
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with open(config_path, "r", encoding="utf-8") as f:
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input_str = f.read()
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data = json.loads(input_str)
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else:
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raise TypeError(f" [!] Unknown config file type {ext}")
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config_dict.update(data)
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config_class = find_module("TTS.tts.configs", config_dict["model"].lower() + "_config")
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config = config_class()
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config.from_dict(config_dict)
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return config
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def copy_model_files(config, out_path, new_fields):
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"""Copy config.json and other model files to training folder and add
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new fields.
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Args:
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config (Coqpit): Coqpit config defining the training run.
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out_path (str): output path to copy the file.
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new_fields (dict): new fileds to be added or edited
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in the config file.
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"""
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copy_config_path = os.path.join(out_path, "config.json")
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# add extra information fields
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config.update(new_fields, allow_new=True)
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config.save_json(copy_config_path)
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# copy model stats file if available
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if config.audio.stats_path is not None:
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copy_stats_path = os.path.join(out_path, "scale_stats.npy")
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if not os.path.exists(copy_stats_path):
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copyfile(
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config.audio.stats_path,
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copy_stats_path,
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)
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