# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
from typing import Union, Mapping, cast
import httpx
from ... import _legacy_response
from ..._types import NOT_GIVEN, Body, Query, Headers, NotGiven, FileTypes
from ..._utils import (
extract_files,
maybe_transform,
deepcopy_minimal,
async_maybe_transform,
)
from ..._compat import cached_property
from ..._resource import SyncAPIResource, AsyncAPIResource
from ..._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
from ...types.audio import translation_create_params
from ..._base_client import make_request_options
from ...types.audio_model import AudioModel
from ...types.audio.translation import Translation
__all__ = ["Translations", "AsyncTranslations"]
class Translations(SyncAPIResource):
@cached_property
def with_raw_response(self) -> TranslationsWithRawResponse:
return TranslationsWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> TranslationsWithStreamingResponse:
return TranslationsWithStreamingResponse(self)
def create(
self,
*,
file: FileTypes,
model: Union[str, AudioModel],
prompt: str | NotGiven = NOT_GIVEN,
response_format: str | NotGiven = NOT_GIVEN,
temperature: float | NotGiven = NOT_GIVEN,
# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
# The extra values given here take precedence over values defined on the client or passed to this method.
extra_headers: Headers | None = None,
extra_query: Query | None = None,
extra_body: Body | None = None,
timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
) -> Translation:
"""
Translates audio into English.
Args:
file: The audio file object (not file name) translate, in one of these formats: flac,
mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
model: ID of the model to use. Only `whisper-1` (which is powered by our open source
Whisper V2 model) is currently available.
prompt: An optional text to guide the model's style or continue a previous audio
segment. The
[prompt](https://platform.openai.com/docs/guides/speech-to-text/prompting)
should be in English.
response_format: The format of the transcript output, in one of these options: `json`, `text`,
`srt`, `verbose_json`, or `vtt`.
temperature: The sampling temperature, between 0 and 1. Higher values like 0.8 will make the
output more random, while lower values like 0.2 will make it more focused and
deterministic. If set to 0, the model will use
[log probability](https://en.wikipedia.org/wiki/Log_probability) to
automatically increase the temperature until certain thresholds are hit.
extra_headers: Send extra headers
extra_query: Add additional query parameters to the request
extra_body: Add additional JSON properties to the request
timeout: Override the client-level default timeout for this request, in seconds
"""
body = deepcopy_minimal(
{
"file": file,
"model": model,
"prompt": prompt,
"response_format": response_format,
"temperature": temperature,
}
)
files = extract_files(cast(Mapping[str, object], body), paths=[["file"]])
# It should be noted that the actual Content-Type header that will be
# sent to the server will contain a `boundary` parameter, e.g.
# multipart/form-data; boundary=---abc--
extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
return self._post(
"/audio/translations",
body=maybe_transform(body, translation_create_params.TranslationCreateParams),
files=files,
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Translation,
)
class AsyncTranslations(AsyncAPIResource):
@cached_property
def with_raw_response(self) -> AsyncTranslationsWithRawResponse:
return AsyncTranslationsWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AsyncTranslationsWithStreamingResponse:
return AsyncTranslationsWithStreamingResponse(self)
async def create(
self,
*,
file: FileTypes,
model: Union[str, AudioModel],
prompt: str | NotGiven = NOT_GIVEN,
response_format: str | NotGiven = NOT_GIVEN,
temperature: float | NotGiven = NOT_GIVEN,
# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
# The extra values given here take precedence over values defined on the client or passed to this method.
extra_headers: Headers | None = None,
extra_query: Query | None = None,
extra_body: Body | None = None,
timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
) -> Translation:
"""
Translates audio into English.
Args:
file: The audio file object (not file name) translate, in one of these formats: flac,
mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
model: ID of the model to use. Only `whisper-1` (which is powered by our open source
Whisper V2 model) is currently available.
prompt: An optional text to guide the model's style or continue a previous audio
segment. The
[prompt](https://platform.openai.com/docs/guides/speech-to-text/prompting)
should be in English.
response_format: The format of the transcript output, in one of these options: `json`, `text`,
`srt`, `verbose_json`, or `vtt`.
temperature: The sampling temperature, between 0 and 1. Higher values like 0.8 will make the
output more random, while lower values like 0.2 will make it more focused and
deterministic. If set to 0, the model will use
[log probability](https://en.wikipedia.org/wiki/Log_probability) to
automatically increase the temperature until certain thresholds are hit.
extra_headers: Send extra headers
extra_query: Add additional query parameters to the request
extra_body: Add additional JSON properties to the request
timeout: Override the client-level default timeout for this request, in seconds
"""
body = deepcopy_minimal(
{
"file": file,
"model": model,
"prompt": prompt,
"response_format": response_format,
"temperature": temperature,
}
)
files = extract_files(cast(Mapping[str, object], body), paths=[["file"]])
# It should be noted that the actual Content-Type header that will be
# sent to the server will contain a `boundary` parameter, e.g.
# multipart/form-data; boundary=---abc--
extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
return await self._post(
"/audio/translations",
body=await async_maybe_transform(body, translation_create_params.TranslationCreateParams),
files=files,
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Translation,
)
class TranslationsWithRawResponse:
def __init__(self, translations: Translations) -> None:
self._translations = translations
self.create = _legacy_response.to_raw_response_wrapper(
translations.create,
)
class AsyncTranslationsWithRawResponse:
def __init__(self, translations: AsyncTranslations) -> None:
self._translations = translations
self.create = _legacy_response.async_to_raw_response_wrapper(
translations.create,
)
class TranslationsWithStreamingResponse:
def __init__(self, translations: Translations) -> None:
self._translations = translations
self.create = to_streamed_response_wrapper(
translations.create,
)
class AsyncTranslationsWithStreamingResponse:
def __init__(self, translations: AsyncTranslations) -> None:
self._translations = translations
self.create = async_to_streamed_response_wrapper(
translations.create,
)