55 lines
1.5 KiB
Python
55 lines
1.5 KiB
Python
from enum import Enum
|
|
from typing import Optional
|
|
from .audio_encoding import AudioEncoding
|
|
from .model import TypedModel
|
|
from ..input_device.base_input_device import BaseInputDevice
|
|
|
|
|
|
class TranscriberType(str, Enum):
|
|
BASE = "base"
|
|
DEEPGRAM = "deepgram"
|
|
GOOGLE = "google"
|
|
ASSEMBLY_AI = "assembly_ai"
|
|
|
|
|
|
class EndpointingType(str, Enum):
|
|
BASE = "base"
|
|
|
|
|
|
class EndpointingConfig(TypedModel, type=EndpointingType.BASE):
|
|
time_cutoff: int
|
|
|
|
|
|
class TranscriberConfig(TypedModel, type=TranscriberType.BASE):
|
|
sampling_rate: int
|
|
audio_encoding: AudioEncoding
|
|
chunk_size: int
|
|
endpointing_config: Optional[EndpointingConfig] = None
|
|
|
|
@classmethod
|
|
def from_input_device(
|
|
cls,
|
|
input_device: BaseInputDevice,
|
|
endpointing_config: Optional[EndpointingConfig] = None,
|
|
):
|
|
return cls(
|
|
sampling_rate=input_device.sampling_rate,
|
|
audio_encoding=input_device.audio_encoding,
|
|
chunk_size=input_device.chunk_size,
|
|
endpointing_config=endpointing_config,
|
|
)
|
|
|
|
|
|
class DeepgramTranscriberConfig(TranscriberConfig, type=TranscriberType.DEEPGRAM):
|
|
model: Optional[str] = None
|
|
should_warmup_model: bool = False
|
|
version: Optional[str] = None
|
|
|
|
|
|
class GoogleTranscriberConfig(TranscriberConfig, type=TranscriberType.GOOGLE):
|
|
model: Optional[str] = None
|
|
should_warmup_model: bool = False
|
|
|
|
|
|
class AssemblyAITranscriberConfig(TranscriberConfig, type=TranscriberType.ASSEMBLY_AI):
|
|
should_warmup_model: bool = False
|