31 lines
No EOL
1,022 B
Python
31 lines
No EOL
1,022 B
Python
from enum import Enum
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from typing import Optional
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from .audio_encoding import AudioEncoding
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from .model import TypedModel
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from ..input_device.base_input_device import BaseInputDevice
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class TranscriberType(str, Enum):
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BASE = "base"
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DEEPGRAM = "deepgram"
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GOOGLE = "google"
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class TranscriberConfig(TypedModel, type=TranscriberType.BASE):
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sampling_rate: int
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audio_encoding: AudioEncoding
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chunk_size: int
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@classmethod
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def from_input_device(cls, input_device: BaseInputDevice):
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return cls(
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sampling_rate=input_device.sampling_rate,
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audio_encoding=input_device.audio_encoding,
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chunk_size=input_device.chunk_size)
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class DeepgramTranscriberConfig(TranscriberConfig, type=TranscriberType.DEEPGRAM):
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model: Optional[str] = None
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should_warmup_model: bool = False
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version: Optional[str] = None
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class GoogleTranscriberConfig(TranscriberConfig, type=TranscriberType.GOOGLE):
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model: Optional[str] = None
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should_warmup_model: bool = False |