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from const import EnumInferenceTypes, EnumEmbedderTypes
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from dataclasses import dataclass
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# @dataclass
# class ModelSlot:
# modelFile: str = ""
# indexFile: str = ""
# defaultTune: int = 0
# defaultIndexRatio: int = 1
# defaultProtect: float = 0.5
# isONNX: bool = False
# modelType: str = EnumInferenceTypes.pyTorchRVC.value
# samplingRate: int = -1
# f0: bool = True
# embChannels: int = 256
# embOutputLayer: int = 9
# useFinalProj: bool = True
# deprecated: bool = False
# embedder: str = EnumEmbedderTypes.hubert.value
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# name: str = ""
# description: str = ""
# credit: str = ""
# termsOfUseUrl: str = ""
# sampleId: str = ""
# iconFile: str = ""