from const import EnumInferenceTypes, EnumEmbedderTypes

from dataclasses import dataclass


# @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

#     name: str = ""
#     description: str = ""
#     credit: str = ""
#     termsOfUseUrl: str = ""
#     sampleId: str = ""
#     iconFile: str = ""