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import os
from dataclasses import dataclass, field
from typing import Dict
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
class BarkConfig(BaseTTSConfig):
"""Bark TTS configuration
Args:
model (str): model name that registers the model.
audio (BarkAudioConfig): audio configuration. Defaults to BarkAudioConfig().
num_chars (int): number of characters in the alphabet. Defaults to 0.
semantic_config (GPTConfig): semantic configuration. Defaults to GPTConfig().
fine_config (FineGPTConfig): fine configuration. Defaults to FineGPTConfig().
coarse_config (GPTConfig): coarse configuration. Defaults to GPTConfig().
CONTEXT_WINDOW_SIZE (int): GPT context window size. Defaults to 1024.
SEMANTIC_RATE_HZ (float): semantic tokens rate in Hz. Defaults to 49.9.
SEMANTIC_VOCAB_SIZE (int): semantic vocabulary size. Defaults to 10_000.
CODEBOOK_SIZE (int): encodec codebook size. Defaults to 1024.
N_COARSE_CODEBOOKS (int): number of coarse codebooks. Defaults to 2.
N_FINE_CODEBOOKS (int): number of fine codebooks. Defaults to 8.
COARSE_RATE_HZ (int): coarse tokens rate in Hz. Defaults to 75.
SAMPLE_RATE (int): sample rate. Defaults to 24_000.
USE_SMALLER_MODELS (bool): use smaller models. Defaults to False.
TEXT_ENCODING_OFFSET (int): text encoding offset. Defaults to 10_048.
SEMANTIC_PAD_TOKEN (int): semantic pad token. Defaults to 10_000.
TEXT_PAD_TOKEN ([type]): text pad token. Defaults to 10_048.
TEXT_EOS_TOKEN ([type]): text end of sentence token. Defaults to 10_049.
TEXT_SOS_TOKEN ([type]): text start of sentence token. Defaults to 10_050.
SEMANTIC_INFER_TOKEN (int): semantic infer token. Defaults to 10_051.
COARSE_SEMANTIC_PAD_TOKEN (int): coarse semantic pad token. Defaults to 12_048.
COARSE_INFER_TOKEN (int): coarse infer token. Defaults to 12_050.
REMOTE_BASE_URL ([type]): remote base url. Defaults to "https://huggingface.co/erogol/bark/tree".
REMOTE_MODEL_PATHS (Dict): remote model paths. Defaults to None.
LOCAL_MODEL_PATHS (Dict): local model paths. Defaults to None.
SMALL_REMOTE_MODEL_PATHS (Dict): small remote model paths. Defaults to None.
CACHE_DIR (str): local cache directory. Defaults to get_user_data_dir().
DEF_SPEAKER_DIR (str): default speaker directory to stoke speaker values for voice cloning. Defaults to get_user_data_dir().
"""
model: str = "bark"
audio: BarkAudioConfig = field(default_factory=BarkAudioConfig)
num_chars: int = 0
semantic_config: GPTConfig = field(default_factory=GPTConfig)
fine_config: FineGPTConfig = field(default_factory=FineGPTConfig)
coarse_config: GPTConfig = field(default_factory=GPTConfig)
CONTEXT_WINDOW_SIZE: int = 1024
SEMANTIC_RATE_HZ: float = 49.9
SEMANTIC_VOCAB_SIZE: int = 10_000
CODEBOOK_SIZE: int = 1024
N_COARSE_CODEBOOKS: int = 2
N_FINE_CODEBOOKS: int = 8
COARSE_RATE_HZ: int = 75
SAMPLE_RATE: int = 24_000
USE_SMALLER_MODELS: bool = False
TEXT_ENCODING_OFFSET: int = 10_048
SEMANTIC_PAD_TOKEN: int = 10_000
TEXT_PAD_TOKEN: int = 129_595
SEMANTIC_INFER_TOKEN: int = 129_599
COARSE_SEMANTIC_PAD_TOKEN: int = 12_048
COARSE_INFER_TOKEN: int = 12_050
REMOTE_BASE_URL = "https://huggingface.co/erogol/bark/tree/main/"
REMOTE_MODEL_PATHS: Dict = None
LOCAL_MODEL_PATHS: Dict = None
SMALL_REMOTE_MODEL_PATHS: Dict = None
CACHE_DIR: str = str(get_user_data_dir("tts/suno/bark_v0"))
DEF_SPEAKER_DIR: str = str(get_user_data_dir("tts/bark_v0/speakers"))
def __post_init__(self):
self.REMOTE_MODEL_PATHS = {
"text": {
"path": os.path.join(self.REMOTE_BASE_URL, "text_2.pt"),
"checksum": "54afa89d65e318d4f5f80e8e8799026a",
},
"coarse": {
"path": os.path.join(self.REMOTE_BASE_URL, "coarse_2.pt"),
"checksum": "8a98094e5e3a255a5c9c0ab7efe8fd28",
},
"fine": {
"path": os.path.join(self.REMOTE_BASE_URL, "fine_2.pt"),
"checksum": "59d184ed44e3650774a2f0503a48a97b",
},
}
self.LOCAL_MODEL_PATHS = {
"text": os.path.join(self.CACHE_DIR, "text_2.pt"),
"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")},
"coarse": {"path": os.path.join(self.REMOTE_BASE_URL, "coarse.pt")},
"fine": {"path": os.path.join(self.REMOTE_BASE_URL, "fine.pt")},
}
self.sample_rate = self.SAMPLE_RATE # pylint: disable=attribute-defined-outside-init
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