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import os |
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from typing import Union |
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from box import Box |
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import torch |
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from modules import models |
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from modules.utils.SeedContext import SeedContext |
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import uuid |
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def create_speaker_from_seed(seed): |
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chat_tts = models.load_chat_tts() |
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with SeedContext(seed, True): |
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emb = chat_tts.sample_random_speaker() |
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return emb |
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class Speaker: |
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@staticmethod |
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def from_file(file_like): |
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speaker = torch.load(file_like, map_location=torch.device("cpu")) |
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speaker.fix() |
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return speaker |
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@staticmethod |
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def from_tensor(tensor): |
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speaker = Speaker(seed=-2) |
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speaker.emb = tensor |
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return speaker |
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def __init__( |
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self, seed_or_tensor: Union[int, torch.Tensor], name="", gender="", describe="" |
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): |
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self.id = uuid.uuid4() |
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self.seed = -2 if isinstance(seed_or_tensor, torch.Tensor) else seed_or_tensor |
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self.name = name |
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self.gender = gender |
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self.describe = describe |
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self.emb = None if isinstance(seed_or_tensor, int) else seed_or_tensor |
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self.tokens = [] |
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def to_json(self, with_emb=False): |
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return Box( |
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**{ |
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"id": str(self.id), |
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"seed": self.seed, |
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"name": self.name, |
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"gender": self.gender, |
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"describe": self.describe, |
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"emb": self.emb.tolist() if with_emb else None, |
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} |
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) |
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def fix(self): |
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is_update = False |
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if "id" not in self.__dict__: |
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setattr(self, "id", uuid.uuid4()) |
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is_update = True |
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if "seed" not in self.__dict__: |
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setattr(self, "seed", -2) |
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is_update = True |
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if "name" not in self.__dict__: |
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setattr(self, "name", "") |
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is_update = True |
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if "gender" not in self.__dict__: |
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setattr(self, "gender", "*") |
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is_update = True |
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if "describe" not in self.__dict__: |
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setattr(self, "describe", "") |
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is_update = True |
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return is_update |
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def __hash__(self): |
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return hash(str(self.id)) |
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def __eq__(self, other): |
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if not isinstance(other, Speaker): |
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return False |
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return str(self.id) == str(other.id) |
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class SpeakerManager: |
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def __init__(self): |
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self.speakers = {} |
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self.speaker_dir = "./data/speakers/" |
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self.refresh_speakers() |
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def refresh_speakers(self): |
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self.speakers = {} |
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for speaker_file in os.listdir(self.speaker_dir): |
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if speaker_file.endswith(".pt"): |
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self.speakers[speaker_file] = Speaker.from_file( |
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self.speaker_dir + speaker_file |
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) |
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for fname, spk in self.speakers.items(): |
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if not os.path.exists(self.speaker_dir + fname): |
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del self.speakers[fname] |
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def list_speakers(self) -> list[Speaker]: |
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return list(self.speakers.values()) |
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def create_speaker_from_seed(self, seed, name="", gender="", describe=""): |
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if name == "": |
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name = seed |
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filename = name + ".pt" |
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speaker = Speaker(seed, name=name, gender=gender, describe=describe) |
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speaker.emb = create_speaker_from_seed(seed) |
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torch.save(speaker, self.speaker_dir + filename) |
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self.refresh_speakers() |
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return speaker |
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def create_speaker_from_tensor( |
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self, tensor, filename="", name="", gender="", describe="" |
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): |
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if filename == "": |
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filename = name |
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speaker = Speaker(seed=-2, name=name, gender=gender, describe=describe) |
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if isinstance(tensor, torch.Tensor): |
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speaker.emb = tensor |
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if isinstance(tensor, list): |
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speaker.emb = torch.tensor(tensor) |
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torch.save(speaker, self.speaker_dir + filename + ".pt") |
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self.refresh_speakers() |
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return speaker |
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def get_speaker(self, name) -> Union[Speaker, None]: |
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for speaker in self.speakers.values(): |
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if speaker.name == name: |
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return speaker |
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return None |
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def get_speaker_by_id(self, id) -> Union[Speaker, None]: |
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for speaker in self.speakers.values(): |
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if str(speaker.id) == str(id): |
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return speaker |
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return None |
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def get_speaker_filename(self, id: str): |
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filename = None |
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for fname, spk in self.speakers.items(): |
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if str(spk.id) == str(id): |
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filename = fname |
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break |
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return filename |
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def update_speaker(self, speaker: Speaker): |
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filename = None |
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for fname, spk in self.speakers.items(): |
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if str(spk.id) == str(speaker.id): |
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filename = fname |
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break |
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if filename: |
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torch.save(speaker, self.speaker_dir + filename) |
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self.refresh_speakers() |
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return speaker |
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else: |
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raise ValueError("Speaker not found for update") |
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def save_all(self): |
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for speaker in self.speakers.values(): |
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filename = self.get_speaker_filename(speaker.id) |
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torch.save(speaker, self.speaker_dir + filename) |
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def __len__(self): |
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return len(self.speakers) |
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speaker_mgr = SpeakerManager() |
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