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Revert "Refactor: No preloading of BERT models to avoid unnecessary GPU VRAM consumption during training in the Web UI"

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This reverts commit e8a76e547b.
This commit is contained in:
tsukumi
2024-03-12 19:01:45 +00:00
parent c4d6a8cdb7
commit fedd019c04
2 changed files with 9 additions and 12 deletions
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8
style_bert_vits2/tts_model.py
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@@ -29,7 +29,6 @@ from style_bert_vits2.models.models import SynthesizerTrn
from style_bert_vits2.models.models_jp_extra import (
SynthesizerTrn as SynthesizerTrnJPExtra,
)
from style_bert_vits2.nlp import bert_models
from style_bert_vits2.voice import adjust_voice
@@ -380,13 +379,6 @@ class TTSModelHolder:
def get_model_for_gradio(
self, model_name: str, model_path_str: str
) -> tuple[gr.Dropdown, gr.Button, gr.Dropdown]:
bert_models.load_model(Languages.JP)
bert_models.load_tokenizer(Languages.JP)
bert_models.load_model(Languages.EN)
bert_models.load_tokenizer(Languages.EN)
bert_models.load_model(Languages.ZH)
bert_models.load_tokenizer(Languages.ZH)
model_path = Path(model_path_str)
if model_name not in self.model_files_dict:
raise ValueError(f"Model `{model_name}` is not found")