mirror of https://github.com/coqui-ai/TTS.git
Merge 3ebc28608c
into dbf1a08a0d
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commit
d656b7dc20
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@ -113,15 +113,15 @@ synthesizer = Synthesizer(
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use_cuda=args.use_cuda,
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)
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use_multi_speaker = hasattr(synthesizer.tts_model, "num_speakers") and (
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synthesizer.tts_model.num_speakers > 1 or synthesizer.tts_speakers_file is not None
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)
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speaker_manager = getattr(synthesizer.tts_model, "speaker_manager", None)
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use_multi_speaker = (hasattr(synthesizer.tts_model, "num_speakers") and (
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synthesizer.tts_model.num_speakers > 1 or synthesizer.tts_speakers_file is not None
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)) or (speaker_manager is not None)
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use_multi_language = hasattr(synthesizer.tts_model, "num_languages") and (
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synthesizer.tts_model.num_languages > 1 or synthesizer.tts_languages_file is not None
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)
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language_manager = getattr(synthesizer.tts_model, "language_manager", None)
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use_multi_language = (hasattr(synthesizer.tts_model, "num_languages") and (
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synthesizer.tts_model.num_languages > 1 or synthesizer.tts_languages_file is not None
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)) or (language_manager is not None)
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# TODO: set this from SpeakerManager
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use_gst = synthesizer.tts_config.get("use_gst", False)
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@ -731,8 +731,8 @@ class Xtts(BaseTTS):
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def load_checkpoint(
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self,
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config,
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checkpoint_dir=None,
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checkpoint_path=None,
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checkpoint_dir=None,
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vocab_path=None,
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eval=True,
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strict=True,
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@ -744,8 +744,8 @@ class Xtts(BaseTTS):
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Args:
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config (dict): The configuration dictionary for the model.
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checkpoint_dir (str, optional): The directory where the checkpoint is stored. Defaults to None.
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checkpoint_path (str, optional): The path to the checkpoint file. Defaults to None.
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checkpoint_dir (str, optional): The directory where the checkpoint is stored. Defaults to None.
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vocab_path (str, optional): The path to the vocabulary file. Defaults to None.
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eval (bool, optional): Whether to set the model to evaluation mode. Defaults to True.
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strict (bool, optional): Whether to strictly enforce that the keys in the checkpoint match the keys in the model. Defaults to True.
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@ -753,7 +753,8 @@ class Xtts(BaseTTS):
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Returns:
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None
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"""
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if checkpoint_dir is None and checkpoint_path:
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checkpoint_dir = os.path.dirname(checkpoint_path)
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model_path = checkpoint_path or os.path.join(checkpoint_dir, "model.pth")
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vocab_path = vocab_path or os.path.join(checkpoint_dir, "vocab.json")
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@ -414,7 +414,7 @@ class ModelManager(object):
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output_model_path = output_path
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output_config_path = None
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if (
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model not in ["tortoise-v2", "bark"] and "fairseq" not in model_name and "xtts" not in model_name
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model not in ["tortoise-v2", "bark"] and "fairseq" not in model_name and "xtts1" not in model_name
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): # TODO:This is stupid but don't care for now.
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output_model_path, output_config_path = self._find_files(output_path)
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# update paths in the config.json
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