Medix-AI/coqui-tts
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coqui-tts
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chore(bark): remove manual download of hubert model 

Bark was previously adapted to download Hubert from HuggingFace, so the manual
download is superfluous.
This commit is contained in:
Enno Hermann 2024-09-12 20:52:07 +02:00
parent 86b58fb6d9
commit 659b4852ba
5 changed files with 2 additions and 8 deletions
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1
TTS/.models.json
View File

@ -48,7 +48,6 @@
"https://coqui.gateway.scarf.sh/hf/bark/fine_2.pt",
"https://coqui.gateway.scarf.sh/hf/bark/text_2.pt",
"https://coqui.gateway.scarf.sh/hf/bark/config.json",
"https://coqui.gateway.scarf.sh/hf/bark/hubert.pt",
"https://coqui.gateway.scarf.sh/hf/bark/tokenizer.pth"
],
"default_vocoder": null,

1
TTS/tts/configs/bark_config.py
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@ -96,7 +96,6 @@ class BarkConfig(BaseTTSConfig):
"coarse": os.path.join(self.CACHE_DIR, "coarse_2.pt"),
"fine": os.path.join(self.CACHE_DIR, "fine_2.pt"),
"hubert_tokenizer": os.path.join(self.CACHE_DIR, "tokenizer.pth"),
"hubert": os.path.join(self.CACHE_DIR, "hubert.pt"),
}
self.SMALL_REMOTE_MODEL_PATHS = {
"text": {"path": os.path.join(self.REMOTE_BASE_URL, "text.pt")},

2
TTS/tts/layers/bark/hubert/kmeans_hubert.py
View File

@ -40,7 +40,7 @@ class CustomHubert(nn.Module):
or you can train your own
"""
def __init__(self, checkpoint_path, target_sample_hz=16000, seq_len_multiple_of=None, output_layer=9, device=None):
def __init__(self, target_sample_hz=16000, seq_len_multiple_of=None, output_layer=9, device=None):
super().__init__()
self.target_sample_hz = target_sample_hz
self.seq_len_multiple_of = seq_len_multiple_of

3
TTS/tts/layers/bark/inference_funcs.py
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@ -134,10 +134,9 @@ def generate_voice(
# generate semantic tokens
# Load the HuBERT model
hubert_manager = HubertManager()
# hubert_manager.make_sure_hubert_installed(model_path=model.config.LOCAL_MODEL_PATHS["hubert"])
hubert_manager.make_sure_tokenizer_installed(model_path=model.config.LOCAL_MODEL_PATHS["hubert_tokenizer"])
hubert_model = CustomHubert(checkpoint_path=model.config.LOCAL_MODEL_PATHS["hubert"]).to(model.device)
hubert_model = CustomHubert().to(model.device)
# Load the CustomTokenizer model
tokenizer = HubertTokenizer.load_from_checkpoint(

3
TTS/tts/models/bark.py
View File

@ -243,7 +243,6 @@ class Bark(BaseTTS):
text_model_path=None,
coarse_model_path=None,
fine_model_path=None,
hubert_model_path=None,
hubert_tokenizer_path=None,
eval=False,
strict=True,
@ -266,13 +265,11 @@ class Bark(BaseTTS):
text_model_path = text_model_path or os.path.join(checkpoint_dir, "text_2.pt")
coarse_model_path = coarse_model_path or os.path.join(checkpoint_dir, "coarse_2.pt")
fine_model_path = fine_model_path or os.path.join(checkpoint_dir, "fine_2.pt")
hubert_model_path = hubert_model_path or os.path.join(checkpoint_dir, "hubert.pt")
hubert_tokenizer_path = hubert_tokenizer_path or os.path.join(checkpoint_dir, "tokenizer.pth")
self.config.LOCAL_MODEL_PATHS["text"] = text_model_path
self.config.LOCAL_MODEL_PATHS["coarse"] = coarse_model_path
self.config.LOCAL_MODEL_PATHS["fine"] = fine_model_path
self.config.LOCAL_MODEL_PATHS["hubert"] = hubert_model_path
self.config.LOCAL_MODEL_PATHS["hubert_tokenizer"] = hubert_tokenizer_path
self.load_bark_models()