jyapayne/vocode-python
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first pass at turn based conversation

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This commit is contained in:
Ajay Raj 2023-03-20 15:37:23 -07:00
commit 518a0f2b53
40 changed files with 503 additions and 99 deletions
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67
vocode/models/transcriber.py
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@ -1,67 +0,0 @@
from enum import Enum
from typing import Optional
from .audio_encoding import AudioEncoding
from .model import BaseModel, TypedModel
from ..input_device.base_input_device import BaseInputDevice
class TranscriberType(str, Enum):
BASE = "transcriber_base"
DEEPGRAM = "transcriber_deepgram"
GOOGLE = "transcriber_google"
ASSEMBLY_AI = "transcriber_assembly_ai"
class EndpointingType(str, Enum):
BASE = "endpointing_base"
TIME_BASED = "endpointing_time_based"
PUNCTUATION_BASED = "endpointing_punctuation_based"
class EndpointingConfig(TypedModel, type=EndpointingType.BASE):
pass
class TimeEndpointingConfig(EndpointingConfig, type=EndpointingType.TIME_BASED):
time_cutoff_seconds: float = 0.4
class PunctuationEndpointingConfig(
EndpointingConfig, type=EndpointingType.PUNCTUATION_BASED
):
time_cutoff_seconds: float = 0.4
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