# This file was auto-generated by Fern from our API Definition.

import typing

from ... import core
from ...core.client_wrapper import AsyncClientWrapper, SyncClientWrapper
from ...core.request_options import RequestOptions
from .raw_client import AsyncRawTranscriptionsClient, RawTranscriptionsClient
from .types.audio_transcriptions_create_response import AudioTranscriptionsCreateResponse

# this is used as the default value for optional parameters
OMIT = typing.cast(typing.Any, ...)


class TranscriptionsClient:
    def __init__(self, *, client_wrapper: SyncClientWrapper):
        self._raw_client = RawTranscriptionsClient(client_wrapper=client_wrapper)

    @property
    def with_raw_response(self) -> RawTranscriptionsClient:
        """
        Retrieves a raw implementation of this client that returns raw responses.

        Returns
        -------
        RawTranscriptionsClient
        """
        return self._raw_client

    def create(
        self,
        *,
        model: str,
        language: str,
        file: core.File,
        temperature: typing.Optional[float] = OMIT,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> AudioTranscriptionsCreateResponse:
        """
        Transcribe an audio file.

        Parameters
        ----------
        model : str
            ID of the model to use.

        language : str
            The language of the input audio, supplied in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639_language_codes) format.

        file : core.File
            See core.File for more documentation

        temperature : typing.Optional[float]
            The sampling temperature, between 0 and 1. Higher values like 0.8 make the output more random, while lower values like 0.2 make it more focused and deterministic.

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        AudioTranscriptionsCreateResponse
            A successful response.

        Examples
        --------
        from cohere import Client

        client = Client(
            client_name="YOUR_CLIENT_NAME",
            token="YOUR_TOKEN",
        )
        client.audio.transcriptions.create(
            model="model",
            language="language",
        )
        """
        _response = self._raw_client.create(
            model=model, language=language, file=file, temperature=temperature, request_options=request_options
        )
        return _response.data


class AsyncTranscriptionsClient:
    def __init__(self, *, client_wrapper: AsyncClientWrapper):
        self._raw_client = AsyncRawTranscriptionsClient(client_wrapper=client_wrapper)

    @property
    def with_raw_response(self) -> AsyncRawTranscriptionsClient:
        """
        Retrieves a raw implementation of this client that returns raw responses.

        Returns
        -------
        AsyncRawTranscriptionsClient
        """
        return self._raw_client

    async def create(
        self,
        *,
        model: str,
        language: str,
        file: core.File,
        temperature: typing.Optional[float] = OMIT,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> AudioTranscriptionsCreateResponse:
        """
        Transcribe an audio file.

        Parameters
        ----------
        model : str
            ID of the model to use.

        language : str
            The language of the input audio, supplied in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639_language_codes) format.

        file : core.File
            See core.File for more documentation

        temperature : typing.Optional[float]
            The sampling temperature, between 0 and 1. Higher values like 0.8 make the output more random, while lower values like 0.2 make it more focused and deterministic.

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        AudioTranscriptionsCreateResponse
            A successful response.

        Examples
        --------
        import asyncio

        from cohere import AsyncClient

        client = AsyncClient(
            client_name="YOUR_CLIENT_NAME",
            token="YOUR_TOKEN",
        )


        async def main() -> None:
            await client.audio.transcriptions.create(
                model="model",
                language="language",
            )


        asyncio.run(main())
        """
        _response = await self._raw_client.create(
            model=model, language=language, file=file, temperature=temperature, request_options=request_options
        )
        return _response.data