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from shared.utils import files_locator as fl
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import gradio as gr
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try:
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from .mtl_tts import SUPPORTED_LANGUAGES as _SUPPORTED_LANGUAGES
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except ImportError:
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_SUPPORTED_LANGUAGES = {
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"ar": "Arabic",
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"da": "Danish",
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"de": "German",
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"el": "Greek",
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"en": "English",
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"es": "Spanish",
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"fi": "Finnish",
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"fr": "French",
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"he": "Hebrew",
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"hi": "Hindi",
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"it": "Italian",
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"ja": "Japanese",
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"ko": "Korean",
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"ms": "Malay",
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"nl": "Dutch",
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"no": "Norwegian",
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"pl": "Polish",
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"pt": "Portuguese",
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"ru": "Russian",
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"sv": "Swedish",
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"sw": "Swahili",
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"tr": "Turkish",
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"zh": "Chinese",
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}
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LANGUAGE_CHOICES = [
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(f"{name} ({code})", code) for code, name in sorted(_SUPPORTED_LANGUAGES.items(), key=lambda item: item[1])
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]
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class family_handler:
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@staticmethod
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def query_supported_types():
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return ["chatterbox"]
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@staticmethod
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def query_family_maps():
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return {}, {}
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@staticmethod
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def query_model_family():
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return "tts"
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@staticmethod
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def query_family_infos():
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return {"tts": (70, "TTS")}
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@staticmethod
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def query_model_def(base_model_type, model_def):
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extra_model_def = {
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"audio_only": True,
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"image_outputs": False,
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"sliding_window": False,
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"guidance_max_phases": 0,
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"no_negative_prompt": True,
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"image_prompt_types_allowed": "",
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"profiles_dir": ["chatterbox"],
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"audio_guide_label": "Voice to Replicate",
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"model_modes": {
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"choices": LANGUAGE_CHOICES,
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"default": "en",
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"label": "Language",
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},
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}
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return extra_model_def
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@staticmethod
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def query_model_files(computeList, base_model_type, model_filename, text_encoder_quantization):
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mandatory_files = [
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"ve.safetensors",
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"t3_mtl23ls_v2.safetensors",
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"s3gen.pt",
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"grapheme_mtl_merged_expanded_v1.json",
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"conds.pt",
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"Cangjie5_TC.json",
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]
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return {
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"repoId": "ResembleAI/chatterbox",
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"sourceFolderList": [""],
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"targetFolderList": ["chatterbox"],
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"fileList": [mandatory_files],
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}
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@staticmethod
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def load_model(
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model_filename,
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model_type,
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base_model_type,
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model_def,
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quantizeTransformer=False,
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text_encoder_quantization=None,
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dtype=None,
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VAE_dtype=None,
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mixed_precision_transformer=False,
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save_quantized=False,
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submodel_no_list=None,
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override_text_encoder = None,
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):
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from .pipeline import ChatterboxPipeline
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ckpt_root = fl.get_download_location()
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pipeline = ChatterboxPipeline(ckpt_root=ckpt_root, device ="cpu")
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pipe = {"ve": pipeline.model.ve, "s3gen": pipeline.model.s3gen, "t3": pipeline.model.t3 , "conds": pipeline.model.conds}
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return pipeline, pipe
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|
@staticmethod
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def fix_settings(base_model_type, settings_version, model_def, ui_defaults):
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defaults = {
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|
|
"audio_prompt_type": "A",
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|
"model_mode": "en",
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}
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|
|
for key, value in defaults.items():
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|
|
ui_defaults.setdefault(key, value)
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|
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|
@staticmethod
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|
def update_default_settings(base_model_type, model_def, ui_defaults):
|
|
|
ui_defaults.update(
|
|
|
{
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|
|
"audio_prompt_type": "A",
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|
"model_mode": "en",
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|
"repeat_generation": 1,
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|
"video_length": 0,
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|
"num_inference_steps": 0,
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"negative_prompt": "",
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|
"chatterbox_cfg_weight": 0.5,
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|
"chatterbox_exaggeration": 0.5,
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|
|
"chatterbox_temperature": 0.8,
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|
|
"chatterbox_repetition_penalty": 2.0,
|
|
|
"chatterbox_min_p": 0.05,
|
|
|
"chatterbox_top_p": 1.0,
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|
|
}
|
|
|
)
|
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|
|
|
|
|
|
@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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|
