Refactor: Use PathConfig and pathlib instead of paths.yml loading

bert_gen.py

@@ -5,13 +5,12 @@ import torch
 import torch.multiprocessing as mp
 from tqdm import tqdm
 
-from config import config
+from config import get_config
 from style_bert_vits2.constants import Languages
 from style_bert_vits2.logging import logger
 from style_bert_vits2.models import commons
 from style_bert_vits2.models.hyper_parameters import HyperParameters
 from style_bert_vits2.nlp import (
-    bert_models,
     cleaned_text_to_sequence,
     extract_bert_feature,
 )
@@ -20,6 +19,7 @@ from style_bert_vits2.nlp.japanese.user_dict import update_dict
 from style_bert_vits2.utils.stdout_wrapper import SAFE_STDOUT
 
 
+config = get_config()
 # このプロセスからはワーカーを起動して辞書を使いたいので、ここで初期化
 pyopenjtalk_worker.initialize_worker()
 
@@ -61,7 +61,7 @@ def process_line(x: tuple[str, bool]):
         bert = torch.load(bert_path)
         assert bert.shape[-1] == len(phone)
     except Exception:
-        bert = extract_bert_feature(text, word2ph, language_str, device)
+        bert = extract_bert_feature(text, word2ph, Languages(language_str), device)
         assert bert.shape[-1] == len(phone)
         torch.save(bert, bert_path)