# This file was auto-generated by Fern from our API Definition. import typing from ...core.client_wrapper import SyncClientWrapper from .samples.client import SamplesClient from .verification.client import VerificationClient from ...core.request_options import RequestOptions from ...types.add_voice_response_model import AddVoiceResponseModel from ...core.unchecked_base_model import construct_type from ...errors.unprocessable_entity_error import UnprocessableEntityError from ...types.http_validation_error import HttpValidationError from json.decoder import JSONDecodeError from ...core.api_error import ApiError from ...core.jsonable_encoder import jsonable_encoder from ...types.start_pvc_voice_training_response_model import ( StartPvcVoiceTrainingResponseModel, ) from ...core.client_wrapper import AsyncClientWrapper from .samples.client import AsyncSamplesClient from .verification.client import AsyncVerificationClient # this is used as the default value for optional parameters OMIT = typing.cast(typing.Any, ...) class PvcClient: def __init__(self, *, client_wrapper: SyncClientWrapper): self._client_wrapper = client_wrapper self.samples = SamplesClient(client_wrapper=self._client_wrapper) self.verification = VerificationClient(client_wrapper=self._client_wrapper) def create( self, *, name: str, language: str, description: typing.Optional[str] = OMIT, labels: typing.Optional[typing.Dict[str, typing.Optional[str]]] = OMIT, request_options: typing.Optional[RequestOptions] = None, ) -> AddVoiceResponseModel: """ Creates a new PVC voice with metadata but no samples Parameters ---------- name : str The name that identifies this voice. This will be displayed in the dropdown of the website. language : str Language used in the samples. description : typing.Optional[str] Description to use for the created voice. labels : typing.Optional[typing.Dict[str, typing.Optional[str]]] Serialized labels dictionary for the voice. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AddVoiceResponseModel Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.voices.pvc.create( name="John Smith", language="en", ) """ _response = self._client_wrapper.httpx_client.request( "v1/voices/pvc", base_url=self._client_wrapper.get_environment().base, method="POST", json={ "name": name, "language": language, "description": description, "labels": labels, }, headers={ "content-type": "application/json", }, request_options=request_options, omit=OMIT, ) try: if 200 <= _response.status_code < 300: return typing.cast( AddVoiceResponseModel, construct_type( type_=AddVoiceResponseModel, # type: ignore object_=_response.json(), ), ) if _response.status_code == 422: raise UnprocessableEntityError( typing.cast( HttpValidationError, construct_type( type_=HttpValidationError, # type: ignore object_=_response.json(), ), ) ) _response_json = _response.json() except JSONDecodeError: raise ApiError(status_code=_response.status_code, body=_response.text) raise ApiError(status_code=_response.status_code, body=_response_json) def update( self, voice_id: str, *, name: typing.Optional[str] = OMIT, language: typing.Optional[str] = OMIT, description: typing.Optional[str] = OMIT, labels: typing.Optional[typing.Dict[str, typing.Optional[str]]] = OMIT, request_options: typing.Optional[RequestOptions] = None, ) -> AddVoiceResponseModel: """ Edit PVC voice metadata Parameters ---------- voice_id : str Voice ID to be used, you can use https://api.elevenlabs.io/v1/voices to list all the available voices. name : typing.Optional[str] The name that identifies this voice. This will be displayed in the dropdown of the website. language : typing.Optional[str] Language used in the samples. description : typing.Optional[str] Description to use for the created voice. labels : typing.Optional[typing.Dict[str, typing.Optional[str]]] Serialized labels dictionary for the voice. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AddVoiceResponseModel Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.voices.pvc.update( voice_id="21m00Tcm4TlvDq8ikWAM", ) """ _response = self._client_wrapper.httpx_client.request( f"v1/voices/pvc/{jsonable_encoder(voice_id)}", base_url=self._client_wrapper.get_environment().base, method="POST", json={ "name": name, "language": language, "description": description, "labels": labels, }, headers={ "content-type": "application/json", }, request_options=request_options, omit=OMIT, ) try: if 200 <= _response.status_code < 300: return typing.cast( AddVoiceResponseModel, construct_type( type_=AddVoiceResponseModel, # type: ignore object_=_response.json(), ), ) if _response.status_code == 422: raise UnprocessableEntityError( typing.cast( HttpValidationError, construct_type( type_=HttpValidationError, # type: ignore object_=_response.json(), ), ) ) _response_json = _response.json() except JSONDecodeError: raise ApiError(status_code=_response.status_code, body=_response.text) raise ApiError(status_code=_response.status_code, body=_response_json) def train( self, voice_id: str, *, model_id: typing.Optional[str] = OMIT, request_options: typing.Optional[RequestOptions] = None, ) -> StartPvcVoiceTrainingResponseModel: """ Start PVC training process for a voice. Parameters ---------- voice_id : str Voice ID to be used, you can use https://api.elevenlabs.io/v1/voices to list all the available voices. model_id : typing.Optional[str] The model ID to use for the conversion. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- StartPvcVoiceTrainingResponseModel Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.voices.pvc.train( voice_id="21m00Tcm4TlvDq8ikWAM", ) """ _response = self._client_wrapper.httpx_client.request( f"v1/voices/pvc/{jsonable_encoder(voice_id)}/train", base_url=self._client_wrapper.get_environment().base, method="POST", json={ "model_id": model_id, }, headers={ "content-type": "application/json", }, request_options=request_options, omit=OMIT, ) try: if 200 <= _response.status_code < 300: return typing.cast( StartPvcVoiceTrainingResponseModel, construct_type( type_=StartPvcVoiceTrainingResponseModel, # type: ignore object_=_response.json(), ), ) if _response.status_code == 422: raise UnprocessableEntityError( typing.cast( HttpValidationError, construct_type( type_=HttpValidationError, # type: ignore object_=_response.json(), ), ) ) _response_json = _response.json() except JSONDecodeError: raise ApiError(status_code=_response.status_code, body=_response.text) raise ApiError(status_code=_response.status_code, body=_response_json) class AsyncPvcClient: def __init__(self, *, client_wrapper: AsyncClientWrapper): self._client_wrapper = client_wrapper self.samples = AsyncSamplesClient(client_wrapper=self._client_wrapper) self.verification = AsyncVerificationClient(client_wrapper=self._client_wrapper) async def create( self, *, name: str, language: str, description: typing.Optional[str] = OMIT, labels: typing.Optional[typing.Dict[str, typing.Optional[str]]] = OMIT, request_options: typing.Optional[RequestOptions] = None, ) -> AddVoiceResponseModel: """ Creates a new PVC voice with metadata but no samples Parameters ---------- name : str The name that identifies this voice. This will be displayed in the dropdown of the website. language : str Language used in the samples. description : typing.Optional[str] Description to use for the created voice. labels : typing.Optional[typing.Dict[str, typing.Optional[str]]] Serialized labels dictionary for the voice. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AddVoiceResponseModel Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.voices.pvc.create( name="John Smith", language="en", ) asyncio.run(main()) """ _response = await self._client_wrapper.httpx_client.request( "v1/voices/pvc", base_url=self._client_wrapper.get_environment().base, method="POST", json={ "name": name, "language": language, "description": description, "labels": labels, }, headers={ "content-type": "application/json", }, request_options=request_options, omit=OMIT, ) try: if 200 <= _response.status_code < 300: return typing.cast( AddVoiceResponseModel, construct_type( type_=AddVoiceResponseModel, # type: ignore object_=_response.json(), ), ) if _response.status_code == 422: raise UnprocessableEntityError( typing.cast( HttpValidationError, construct_type( type_=HttpValidationError, # type: ignore object_=_response.json(), ), ) ) _response_json = _response.json() except JSONDecodeError: raise ApiError(status_code=_response.status_code, body=_response.text) raise ApiError(status_code=_response.status_code, body=_response_json) async def update( self, voice_id: str, *, name: typing.Optional[str] = OMIT, language: typing.Optional[str] = OMIT, description: typing.Optional[str] = OMIT, labels: typing.Optional[typing.Dict[str, typing.Optional[str]]] = OMIT, request_options: typing.Optional[RequestOptions] = None, ) -> AddVoiceResponseModel: """ Edit PVC voice metadata Parameters ---------- voice_id : str Voice ID to be used, you can use https://api.elevenlabs.io/v1/voices to list all the available voices. name : typing.Optional[str] The name that identifies this voice. This will be displayed in the dropdown of the website. language : typing.Optional[str] Language used in the samples. description : typing.Optional[str] Description to use for the created voice. labels : typing.Optional[typing.Dict[str, typing.Optional[str]]] Serialized labels dictionary for the voice. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AddVoiceResponseModel Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.voices.pvc.update( voice_id="21m00Tcm4TlvDq8ikWAM", ) asyncio.run(main()) """ _response = await self._client_wrapper.httpx_client.request( f"v1/voices/pvc/{jsonable_encoder(voice_id)}", base_url=self._client_wrapper.get_environment().base, method="POST", json={ "name": name, "language": language, "description": description, "labels": labels, }, headers={ "content-type": "application/json", }, request_options=request_options, omit=OMIT, ) try: if 200 <= _response.status_code < 300: return typing.cast( AddVoiceResponseModel, construct_type( type_=AddVoiceResponseModel, # type: ignore object_=_response.json(), ), ) if _response.status_code == 422: raise UnprocessableEntityError( typing.cast( HttpValidationError, construct_type( type_=HttpValidationError, # type: ignore object_=_response.json(), ), ) ) _response_json = _response.json() except JSONDecodeError: raise ApiError(status_code=_response.status_code, body=_response.text) raise ApiError(status_code=_response.status_code, body=_response_json) async def train( self, voice_id: str, *, model_id: typing.Optional[str] = OMIT, request_options: typing.Optional[RequestOptions] = None, ) -> StartPvcVoiceTrainingResponseModel: """ Start PVC training process for a voice. Parameters ---------- voice_id : str Voice ID to be used, you can use https://api.elevenlabs.io/v1/voices to list all the available voices. model_id : typing.Optional[str] The model ID to use for the conversion. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- StartPvcVoiceTrainingResponseModel Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.voices.pvc.train( voice_id="21m00Tcm4TlvDq8ikWAM", ) asyncio.run(main()) """ _response = await self._client_wrapper.httpx_client.request( f"v1/voices/pvc/{jsonable_encoder(voice_id)}/train", base_url=self._client_wrapper.get_environment().base, method="POST", json={ "model_id": model_id, }, headers={ "content-type": "application/json", }, request_options=request_options, omit=OMIT, ) try: if 200 <= _response.status_code < 300: return typing.cast( StartPvcVoiceTrainingResponseModel, construct_type( type_=StartPvcVoiceTrainingResponseModel, # type: ignore object_=_response.json(), ), ) if _response.status_code == 422: raise UnprocessableEntityError( typing.cast( HttpValidationError, construct_type( type_=HttpValidationError, # type: ignore object_=_response.json(), ), ) ) _response_json = _response.json() except JSONDecodeError: raise ApiError(status_code=_response.status_code, body=_response.text) raise ApiError(status_code=_response.status_code, body=_response_json)