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import gradio as gr
from shared.utils import files_locator as fl
from .prompt_enhancers import TTS_MONOLOGUE_PROMPT
_FALLBACK_SUPPORTED_LANGUAGES = {
"ar": "Arabic",
"da": "Danish",
"de": "German",
"el": "Greek",
"en": "English",
"es": "Spanish",
"fi": "Finnish",
"fr": "French",
"he": "Hebrew",
"hi": "Hindi",
"it": "Italian",
"ja": "Japanese",
"ko": "Korean",
"ms": "Malay",
"nl": "Dutch",
"no": "Norwegian",
"pl": "Polish",
"pt": "Portuguese",
"ru": "Russian",
"sv": "Swedish",
"sw": "Swahili",
"tr": "Turkish",
"zh": "Chinese",
}
def _get_supported_languages() -> dict:
try:
from .chatterbox.mtl_tts import SUPPORTED_LANGUAGES
except Exception:
return _FALLBACK_SUPPORTED_LANGUAGES
return SUPPORTED_LANGUAGES
def _get_language_choices() -> list[tuple[str, str]]:
languages = _get_supported_languages()
return [
(f"{name} ({code})", code)
for code, name in sorted(languages.items(), key=lambda item: item[1])
]
CHATTERBOX_CUSTOM_SETTINGS_MIGRATION_VERSION = 2.50
CHATTERBOX_DEFAULT_CUSTOM_SETTINGS = {
"exaggeration": 0.5,
"pace": 0.5,
}
CHATTERBOX_CUSTOM_SETTINGS = [
{
"id": "exaggeration",
"label": "Emotion Exaggeration (0.25-2.0, 0.5 = neutral)",
"name": "Exaggeration",
"type": "float",
"default": CHATTERBOX_DEFAULT_CUSTOM_SETTINGS["exaggeration"],
},
{
"id": "pace",
"label": "Pace (0.2-1.0)",
"name": "Pace",
"type": "float",
"default": CHATTERBOX_DEFAULT_CUSTOM_SETTINGS["pace"],
},
]
def _get_chatterbox_model_def():
return {
"audio_only": True,
"image_outputs": False,
"sliding_window": False,
"guidance_max_phases": 0,
"no_negative_prompt": True,
"inference_steps": False,
"temperature": True,
"image_prompt_types_allowed": "",
"profiles_dir": ["chatterbox"],
"audio_guide_label": "Voice to Replicate",
"model_modes": {
"choices": _get_language_choices(),
"default": "en",
"label": "Language",
},
"any_audio_prompt": True,
"custom_settings": [one.copy() for one in CHATTERBOX_CUSTOM_SETTINGS],
"text_prompt_enhancer_instructions": TTS_MONOLOGUE_PROMPT,
"prompt_enhancer_button_label": "Write Speech",
}
def _get_chatterbox_download_def():
mandatory_files = [
"ve.safetensors",
"t3_mtl23ls_v2.safetensors",
"s3gen.pt",
"grapheme_mtl_merged_expanded_v1.json",
"conds.pt",
"Cangjie5_TC.json",
]
return {
"repoId": "ResembleAI/chatterbox",
"sourceFolderList": [""],
"targetFolderList": ["chatterbox"],
"fileList": [mandatory_files],
}
class family_handler:
@staticmethod
def query_supported_types():
return ["chatterbox"]
@staticmethod
def query_family_maps():
return {}, {}
@staticmethod
def query_model_family():
return "tts"
@staticmethod
def query_family_infos():
return {"tts": (200, "TTS")}
@staticmethod
def register_lora_cli_args(parser, lora_root):
parser.add_argument(
"--lora-dir-chatterbox",
type=str,
default=None,
help=f"Path to a directory that contains chatterbox settings (default: {os.path.join(lora_root, 'chatterbox')})",
)
@staticmethod
def get_lora_dir(base_model_type, args, lora_root):
return getattr(args, "lora_dir_chatterbox", None) or os.path.join(lora_root, "chatterbox")
@staticmethod
def query_model_def(base_model_type, model_def):
return _get_chatterbox_model_def()
@staticmethod
def query_model_files(computeList, base_model_type, model_def=None):
return _get_chatterbox_download_def()
@staticmethod
def load_model(
model_filename,
model_type,
base_model_type,
model_def,
quantizeTransformer=False,
text_encoder_quantization=None,
dtype=None,
VAE_dtype=None,
mixed_precision_transformer=False,
save_quantized=False,
submodel_no_list=None,
text_encoder_filename=None,
profile=0,
**kwargs,
):
from .chatterbox.pipeline import ChatterboxPipeline
ckpt_root = fl.get_download_location()
pipeline = ChatterboxPipeline(ckpt_root=ckpt_root, device="cpu")
pipe = {
"ve": pipeline.model.ve,
"s3gen": pipeline.model.s3gen,
"t3": pipeline.model.t3,
"conds": pipeline.model.conds,
}
return pipeline, pipe
@staticmethod
def fix_settings(base_model_type, settings_version, model_def, ui_defaults):
if "alt_prompt" not in ui_defaults:
ui_defaults["alt_prompt"] = ""
defaults = {
"audio_prompt_type": "A",
"model_mode": "en",
}
for key, value in defaults.items():
ui_defaults.setdefault(key, value)
if settings_version < 2.44:
ui_defaults["guidance_scale"] = 1.0
legacy_exaggeration = ui_defaults.pop("exaggeration", None)
legacy_pace = ui_defaults.pop("pace", None)
custom_settings = ui_defaults.get("custom_settings", None)
if not isinstance(custom_settings, dict):
custom_settings = {}
else:
custom_settings = custom_settings.copy()
if settings_version < CHATTERBOX_CUSTOM_SETTINGS_MIGRATION_VERSION:
if legacy_exaggeration is not None:
custom_settings.setdefault("exaggeration", legacy_exaggeration)
if legacy_pace is not None:
custom_settings.setdefault("pace", legacy_pace)
if legacy_exaggeration is not None and "exaggeration" not in custom_settings:
custom_settings["exaggeration"] = legacy_exaggeration
if legacy_pace is not None and "pace" not in custom_settings:
custom_settings["pace"] = legacy_pace
for key, value in CHATTERBOX_DEFAULT_CUSTOM_SETTINGS.items():
custom_settings.setdefault(key, value)
ui_defaults["custom_settings"] = custom_settings
@staticmethod
def update_default_settings(base_model_type, model_def, ui_defaults):
ui_defaults.update(
{
"audio_prompt_type": "A",
"model_mode": "en",
"repeat_generation": 1,
"video_length": 0,
"num_inference_steps": 0,
"negative_prompt": "",
"custom_settings": dict(CHATTERBOX_DEFAULT_CUSTOM_SETTINGS),
"temperature": 0.8,
"guidance_scale": 1.0,
"multi_prompts_gen_type": 2,
}
)
@staticmethod
def validate_generative_prompt(base_model_type, model_def, inputs, one_prompt):
if len(one_prompt) > 300:
gr.Info(
"It is recommended to use a prompt that has less than 300 characters,"
" otherwise you may get unexpected results."
)
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