refactor: use get_user_data_dir from trainer

TTS/model.py

@@ -60,6 +60,7 @@ class BaseTrainerModel(TrainerModel):
             checkpoint_path (str | os.PathLike): Path to the model checkpoint file.
             eval (bool, optional): If true, init model for inference else for training. Defaults to False.
             strict (bool, optional): Match all checkpoint keys to model's keys. Defaults to True.
-            cache (bool, optional): If True, cache the file locally for subsequent calls. It is cached under `get_user_data_dir()/tts_cache`. Defaults to False.
+            cache (bool, optional): If True, cache the file locally for subsequent calls.
+                It is cached under `trainer.io.get_user_data_dir()/tts_cache`. Defaults to False.
         """
         ...

TTS/tts/configs/bark_config.py

@@ -2,11 +2,12 @@ import os
 from dataclasses import dataclass, field
 from typing import Dict
 
+from trainer.io import get_user_data_dir
+
 from TTS.tts.configs.shared_configs import BaseTTSConfig
 from TTS.tts.layers.bark.model import GPTConfig
 from TTS.tts.layers.bark.model_fine import FineGPTConfig
 from TTS.tts.models.bark import BarkAudioConfig
-from TTS.utils.generic_utils import get_user_data_dir
 
 
 @dataclass

TTS/tts/models/base_tacotron.py

@@ -103,7 +103,8 @@ class BaseTacotron(BaseTTS):
             config (Coqpi): model configuration.
             checkpoint_path (str): path to checkpoint file.
             eval (bool, optional): whether to load model for evaluation.
-            cache (bool, optional): If True, cache the file locally for subsequent calls. It is cached under `get_user_data_dir()/tts_cache`. Defaults to False.
+            cache (bool, optional): If True, cache the file locally for subsequent calls.
+                It is cached under `trainer.io.get_user_data_dir()/tts_cache`. Defaults to False.
         """
         state = load_fsspec(checkpoint_path, map_location=torch.device("cpu"), cache=cache)
         self.load_state_dict(state["model"])

TTS/utils/generic_utils.py

@@ -2,9 +2,7 @@
 import datetime
 import importlib
 import logging
-import os
 import re
-import sys
 from pathlib import Path
 from typing import Dict, Optional
 
@@ -53,28 +51,6 @@ def get_import_path(obj: object) -> str:
     return ".".join([type(obj).__module__, type(obj).__name__])
 
 
-def get_user_data_dir(appname):
-    TTS_HOME = os.environ.get("TTS_HOME")
-    XDG_DATA_HOME = os.environ.get("XDG_DATA_HOME")
-    if TTS_HOME is not None:
-        ans = Path(TTS_HOME).expanduser().resolve(strict=False)
-    elif XDG_DATA_HOME is not None:
-        ans = Path(XDG_DATA_HOME).expanduser().resolve(strict=False)
-    elif sys.platform == "win32":
-        import winreg  # pylint: disable=import-outside-toplevel
-
-        key = winreg.OpenKey(
-            winreg.HKEY_CURRENT_USER, r"Software\Microsoft\Windows\CurrentVersion\Explorer\Shell Folders"
-        )
-        dir_, _ = winreg.QueryValueEx(key, "Local AppData")
-        ans = Path(dir_).resolve(strict=False)
-    elif sys.platform == "darwin":
-        ans = Path("~/Library/Application Support/").expanduser()
-    else:
-        ans = Path.home().joinpath(".local/share")
-    return ans.joinpath(appname)
-
-
 def set_init_dict(model_dict, checkpoint_state, c):
     # Partial initialization: if there is a mismatch with new and old layer, it is skipped.
     for k, v in checkpoint_state.items():

TTS/utils/io.py

@@ -4,8 +4,7 @@ from typing import Any, Callable, Dict, Union
 
 import fsspec
 import torch
-
+from trainer.io import get_user_data_dir
-from TTS.utils.generic_utils import get_user_data_dir
 
 
 class RenamingUnpickler(pickle_tts.Unpickler):

TTS/utils/manage.py

@@ -11,9 +11,9 @@ from typing import Dict, Tuple
 import fsspec
 import requests
 from tqdm import tqdm
+from trainer.io import get_user_data_dir
 
 from TTS.config import load_config, read_json_with_comments
-from TTS.utils.generic_utils import get_user_data_dir
 
 logger = logging.getLogger(__name__)
 

TTS/vc/modules/freevc/wavlm/__init__.py

@@ -3,8 +3,8 @@ import os
 import urllib.request
 
 import torch
+from trainer.io import get_user_data_dir
 
-from TTS.utils.generic_utils import get_user_data_dir
 from TTS.vc.modules.freevc.wavlm.wavlm import WavLM, WavLMConfig
 
 logger = logging.getLogger(__name__)

tests/zoo_tests/test_models.py

@@ -4,11 +4,11 @@ import os
 import shutil
 
 import torch
+from trainer.io import get_user_data_dir
 
 from tests import get_tests_data_path, get_tests_output_path, run_cli
 from TTS.tts.utils.languages import LanguageManager
 from TTS.tts.utils.speakers import SpeakerManager
-from TTS.utils.generic_utils import get_user_data_dir
 from TTS.utils.manage import ModelManager
 
 MODELS_WITH_SEP_TESTS = [