o "iTQ@sddlZddlZddlmZddlmZddlmZddl m Z m Z ddl m Z ddlmZdd lmZeejd ZGd d d ZGd ddZdS)N)JSONDecodeError)core)ApiError)AsyncClientWrapperSyncClientWrapper)jsonable_encoder)remove_none_from_dict)RequestOptions.c@eZdZdefddZddddddedejede j d ejed ejed eje d ej e fd dZddddddedejede j d ejed ejed eje d ej e fddZdS)SpeechToSpeechClientclient_wrappercC ||_dSN_client_wrapperselfr rf/var/www/html/voicebot/backend/venv/lib/python3.10/site-packages/elevenlabs/speech_to_speech/client.py__init__ zSpeechToSpeechClient.__init__Noptimize_streaming_latencymodel_idvoice_settingsrequest_optionsvoice_idraudiorrrreturnc cs|jjjdtj|jddt|ttd|i|dur&| dini|dus5| ddur>tt||dnitt||dtt| dit td |itti|j |durl| d ini|dur| d dur| d nd d |dur| dnd d B}d|j krdkrnn|D]}|Vq WddS|z|} Wntyt|j |jdwt|j | d1swYdS)an Create speech by combining the content and emotion of the uploaded audio with a voice of your choice. Parameters: - voice_id: str. Voice ID to be used, you can use https://api.elevenlabs.io/v1/voices to list all the available voices. - optimize_streaming_latency: typing.Optional[int]. You can turn on latency optimizations at some cost of quality. The best possible final latency varies by model. Possible values: 0 - default mode (no latency optimizations) 1 - normal latency optimizations (about 50% of possible latency improvement of option 3) 2 - strong latency optimizations (about 75% of possible latency improvement of option 3) 3 - max latency optimizations 4 - max latency optimizations, but also with text normalizer turned off for even more latency savings (best latency, but can mispronounce eg numbers and dates). Defaults to 0. - audio: core.File. See core.File for more documentation - model_id: typing.Optional[str]. Identifier of the model that will be used, you can query them using GET /v1/models. The model needs to have support for speech to speech, you can check this using the can_do_voice_conversion property. - voice_settings: typing.Optional[str]. Voice settings overriding stored setttings for the given voice. They are applied only on the given request. Needs to be send as a JSON encoded string. - request_options: typing.Optional[RequestOptions]. Request-specific configuration. --- from elevenlabs.client import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.speech_to_speech.convert( voice_id="string", optimize_streaming_latency=1, ) POST/v1/speech-to-speech/rNadditional_query_parametersadditional_body_parametersrrradditional_headerstimeout_in_seconds<r max_retriesparamsdatafilesheaderstimeoutretriesr), status_codebodyr httpx_clientstreamurllibparseurljoin get_base_urlrr getr!convert_file_dict_to_httpx_tuples get_headersr4 iter_bytesreadjsonrrtext rrrrrrr _response_chunk_response_jsonrrrconvertsj*   % *  zSpeechToSpeechClient.convertc cs|jjjdtj|jddt|dttd|i|dur'| dini|dus6| ddur?tt||d nitt||d tt| dit td |itti|j |durm| d ini|dur| d dur| d nd d|dur| dndd B}d|j krdkrnn|D]}|Vq WddS|z|} Wntyt|j |jdwt|j | d1swYdS)a Create speech by combining the content and emotion of the uploaded audio with a voice of your choice and returns an audio stream. Parameters: - voice_id: str. Voice ID to be used, you can use https://api.elevenlabs.io/v1/voices to list all the available voices. - optimize_streaming_latency: typing.Optional[int]. You can turn on latency optimizations at some cost of quality. The best possible final latency varies by model. Possible values: 0 - default mode (no latency optimizations) 1 - normal latency optimizations (about 50% of possible latency improvement of option 3) 2 - strong latency optimizations (about 75% of possible latency improvement of option 3) 3 - max latency optimizations 4 - max latency optimizations, but also with text normalizer turned off for even more latency savings (best latency, but can mispronounce eg numbers and dates). Defaults to 0. - audio: core.File. See core.File for more documentation - model_id: typing.Optional[str]. Identifier of the model that will be used, you can query them using GET /v1/models. The model needs to have support for speech to speech, you can check this using the can_do_voice_conversion property. - voice_settings: typing.Optional[str]. Voice settings overriding stored setttings for the given voice. They are applied only on the given request. Needs to be send as a JSON encoded string. - request_options: typing.Optional[RequestOptions]. Request-specific configuration. --- from elevenlabs.client import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.speech_to_speech.convert_as_stream( voice_id="string", optimize_streaming_latency=1, ) r r!r"/streamrNr#r$r%rr&r'r(rr)r*r1r2r3r6rDrrrconvert_as_streamqsj*   % *  z&SpeechToSpeechClient.convert_as_stream)__name__ __module__ __qualname__rrstrtypingOptionalintrFiler IteratorbytesrHrJrrrrr P _ r c@r )AsyncSpeechToSpeechClientr cCrrrrrrrrrz"AsyncSpeechToSpeechClient.__init__Nrrrrrrrrc Cs|jjjdtj|jddt|ttd|i|dur&| dini|dus5| ddur>tt||dnitt||dtt| dit td |itti|j |durl| d ini|dur| d dur| d nd d |dur| dnd d 4IdHM}d|j krdkrnn|2z 3dHW}|Vq6 WdIdHdS|IdHz|} Wntyt|j |jdwt|j | d1IdHswYdS)a~ Create speech by combining the content and emotion of the uploaded audio with a voice of your choice. Parameters: - voice_id: str. Voice ID to be used, you can use https://api.elevenlabs.io/v1/voices to list all the available voices. - optimize_streaming_latency: typing.Optional[int]. You can turn on latency optimizations at some cost of quality. The best possible final latency varies by model. Possible values: 0 - default mode (no latency optimizations) 1 - normal latency optimizations (about 50% of possible latency improvement of option 3) 2 - strong latency optimizations (about 75% of possible latency improvement of option 3) 3 - max latency optimizations 4 - max latency optimizations, but also with text normalizer turned off for even more latency savings (best latency, but can mispronounce eg numbers and dates). Defaults to 0. - audio: core.File. See core.File for more documentation - model_id: typing.Optional[str]. Identifier of the model that will be used, you can query them using GET /v1/models. The model needs to have support for speech to speech, you can check this using the can_do_voice_conversion property. - voice_settings: typing.Optional[str]. Voice settings overriding stored setttings for the given voice. They are applied only on the given request. Needs to be send as a JSON encoded string. - request_options: typing.Optional[RequestOptions]. Request-specific configuration. --- from elevenlabs.client import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) await client.speech_to_speech.convert( voice_id="string", optimize_streaming_latency=1, ) r r!r"rNr#r$r%rr&r'r(rr)r*r1r2r3rr7r8r9r:r;r<rr r=rr>r?r4 aiter_bytesareadrBrrrCrDrrrrHsl*   %*  z!AsyncSpeechToSpeechClient.convertc Cs|jjjdtj|jddt|dttd|i|dur'| dini|dus6| ddur?tt||d nitt||d tt| dit td |itti|j |durm| d ini|dur| d dur| d nd d|dur| dndd 4IdHM}d|j krdkrnn|2z 3dHW}|Vq6 WdIdHdS|IdHz|} Wntyt|j |jdwt|j | d1IdHswYdS)a Create speech by combining the content and emotion of the uploaded audio with a voice of your choice and returns an audio stream. Parameters: - voice_id: str. Voice ID to be used, you can use https://api.elevenlabs.io/v1/voices to list all the available voices. - optimize_streaming_latency: typing.Optional[int]. You can turn on latency optimizations at some cost of quality. The best possible final latency varies by model. Possible values: 0 - default mode (no latency optimizations) 1 - normal latency optimizations (about 50% of possible latency improvement of option 3) 2 - strong latency optimizations (about 75% of possible latency improvement of option 3) 3 - max latency optimizations 4 - max latency optimizations, but also with text normalizer turned off for even more latency savings (best latency, but can mispronounce eg numbers and dates). Defaults to 0. - audio: core.File. See core.File for more documentation - model_id: typing.Optional[str]. Identifier of the model that will be used, you can query them using GET /v1/models. The model needs to have support for speech to speech, you can check this using the can_do_voice_conversion property. - voice_settings: typing.Optional[str]. Voice settings overriding stored setttings for the given voice. They are applied only on the given request. Needs to be send as a JSON encoded string. - request_options: typing.Optional[RequestOptions]. Request-specific configuration. --- from elevenlabs.client import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) await client.speech_to_speech.convert_as_stream( voice_id="string", optimize_streaming_latency=1, ) r r!r"rIrNr#r$r%rr&r'r(rr)r*r1r2r3rWrDrrrrJ,sl*   %*  z+AsyncSpeechToSpeechClient.convert_as_stream)rKrLrMrrrNrOrPrQrrRr AsyncIteratorrTrHrJrrrrrVrUrV)rO urllib.parser9 json.decoderrrcore.api_errorrcore.client_wrapperrrcore.jsonable_encoderrcore.remove_none_from_dictr core.request_optionsr castAnyOMITr rVrrrrs      <