Initial commit: Email alerts application

This commit is contained in:
Iyeoluwa Akinrinola
2025-07-25 11:31:36 +01:00
commit adfb625ae9
6322 changed files with 2882826 additions and 0 deletions
@@ -0,0 +1,61 @@
# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from .audio import (
Audio,
AsyncAudio,
AudioWithRawResponse,
AsyncAudioWithRawResponse,
AudioWithStreamingResponse,
AsyncAudioWithStreamingResponse,
)
from .speech import (
Speech,
AsyncSpeech,
SpeechWithRawResponse,
AsyncSpeechWithRawResponse,
SpeechWithStreamingResponse,
AsyncSpeechWithStreamingResponse,
)
from .translations import (
Translations,
AsyncTranslations,
TranslationsWithRawResponse,
AsyncTranslationsWithRawResponse,
TranslationsWithStreamingResponse,
AsyncTranslationsWithStreamingResponse,
)
from .transcriptions import (
Transcriptions,
AsyncTranscriptions,
TranscriptionsWithRawResponse,
AsyncTranscriptionsWithRawResponse,
TranscriptionsWithStreamingResponse,
AsyncTranscriptionsWithStreamingResponse,
)
__all__ = [
"Speech",
"AsyncSpeech",
"SpeechWithRawResponse",
"AsyncSpeechWithRawResponse",
"SpeechWithStreamingResponse",
"AsyncSpeechWithStreamingResponse",
"Transcriptions",
"AsyncTranscriptions",
"TranscriptionsWithRawResponse",
"AsyncTranscriptionsWithRawResponse",
"TranscriptionsWithStreamingResponse",
"AsyncTranscriptionsWithStreamingResponse",
"Translations",
"AsyncTranslations",
"TranslationsWithRawResponse",
"AsyncTranslationsWithRawResponse",
"TranslationsWithStreamingResponse",
"AsyncTranslationsWithStreamingResponse",
"Audio",
"AsyncAudio",
"AudioWithRawResponse",
"AsyncAudioWithRawResponse",
"AudioWithStreamingResponse",
"AsyncAudioWithStreamingResponse",
]
@@ -0,0 +1,166 @@
# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
from .speech import (
Speech,
AsyncSpeech,
SpeechWithRawResponse,
AsyncSpeechWithRawResponse,
SpeechWithStreamingResponse,
AsyncSpeechWithStreamingResponse,
)
from ..._compat import cached_property
from ..._resource import SyncAPIResource, AsyncAPIResource
from .translations import (
Translations,
AsyncTranslations,
TranslationsWithRawResponse,
AsyncTranslationsWithRawResponse,
TranslationsWithStreamingResponse,
AsyncTranslationsWithStreamingResponse,
)
from .transcriptions import (
Transcriptions,
AsyncTranscriptions,
TranscriptionsWithRawResponse,
AsyncTranscriptionsWithRawResponse,
TranscriptionsWithStreamingResponse,
AsyncTranscriptionsWithStreamingResponse,
)
__all__ = ["Audio", "AsyncAudio"]
class Audio(SyncAPIResource):
@cached_property
def speech(self) -> Speech:
return Speech(self._client)
@cached_property
def transcriptions(self) -> Transcriptions:
return Transcriptions(self._client)
@cached_property
def translations(self) -> Translations:
return Translations(self._client)
@cached_property
def with_raw_response(self) -> AudioWithRawResponse:
"""
This property can be used as a prefix for any HTTP method call to return
the raw response object instead of the parsed content.
For more information, see https://www.github.com/groq/groq-python#accessing-raw-response-data-eg-headers
"""
return AudioWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AudioWithStreamingResponse:
"""
An alternative to `.with_raw_response` that doesn't eagerly read the response body.
For more information, see https://www.github.com/groq/groq-python#with_streaming_response
"""
return AudioWithStreamingResponse(self)
class AsyncAudio(AsyncAPIResource):
@cached_property
def speech(self) -> AsyncSpeech:
return AsyncSpeech(self._client)
@cached_property
def transcriptions(self) -> AsyncTranscriptions:
return AsyncTranscriptions(self._client)
@cached_property
def translations(self) -> AsyncTranslations:
return AsyncTranslations(self._client)
@cached_property
def with_raw_response(self) -> AsyncAudioWithRawResponse:
"""
This property can be used as a prefix for any HTTP method call to return
the raw response object instead of the parsed content.
For more information, see https://www.github.com/groq/groq-python#accessing-raw-response-data-eg-headers
"""
return AsyncAudioWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AsyncAudioWithStreamingResponse:
"""
An alternative to `.with_raw_response` that doesn't eagerly read the response body.
For more information, see https://www.github.com/groq/groq-python#with_streaming_response
"""
return AsyncAudioWithStreamingResponse(self)
class AudioWithRawResponse:
def __init__(self, audio: Audio) -> None:
self._audio = audio
@cached_property
def speech(self) -> SpeechWithRawResponse:
return SpeechWithRawResponse(self._audio.speech)
@cached_property
def transcriptions(self) -> TranscriptionsWithRawResponse:
return TranscriptionsWithRawResponse(self._audio.transcriptions)
@cached_property
def translations(self) -> TranslationsWithRawResponse:
return TranslationsWithRawResponse(self._audio.translations)
class AsyncAudioWithRawResponse:
def __init__(self, audio: AsyncAudio) -> None:
self._audio = audio
@cached_property
def speech(self) -> AsyncSpeechWithRawResponse:
return AsyncSpeechWithRawResponse(self._audio.speech)
@cached_property
def transcriptions(self) -> AsyncTranscriptionsWithRawResponse:
return AsyncTranscriptionsWithRawResponse(self._audio.transcriptions)
@cached_property
def translations(self) -> AsyncTranslationsWithRawResponse:
return AsyncTranslationsWithRawResponse(self._audio.translations)
class AudioWithStreamingResponse:
def __init__(self, audio: Audio) -> None:
self._audio = audio
@cached_property
def speech(self) -> SpeechWithStreamingResponse:
return SpeechWithStreamingResponse(self._audio.speech)
@cached_property
def transcriptions(self) -> TranscriptionsWithStreamingResponse:
return TranscriptionsWithStreamingResponse(self._audio.transcriptions)
@cached_property
def translations(self) -> TranslationsWithStreamingResponse:
return TranslationsWithStreamingResponse(self._audio.translations)
class AsyncAudioWithStreamingResponse:
def __init__(self, audio: AsyncAudio) -> None:
self._audio = audio
@cached_property
def speech(self) -> AsyncSpeechWithStreamingResponse:
return AsyncSpeechWithStreamingResponse(self._audio.speech)
@cached_property
def transcriptions(self) -> AsyncTranscriptionsWithStreamingResponse:
return AsyncTranscriptionsWithStreamingResponse(self._audio.transcriptions)
@cached_property
def translations(self) -> AsyncTranslationsWithStreamingResponse:
return AsyncTranslationsWithStreamingResponse(self._audio.translations)
@@ -0,0 +1,233 @@
# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
from typing import Union
from typing_extensions import Literal
import httpx
from ..._types import NOT_GIVEN, Body, Query, Headers, NotGiven
from ..._utils import maybe_transform, async_maybe_transform
from ..._compat import cached_property
from ..._resource import SyncAPIResource, AsyncAPIResource
from ..._response import (
BinaryAPIResponse,
AsyncBinaryAPIResponse,
StreamedBinaryAPIResponse,
AsyncStreamedBinaryAPIResponse,
to_custom_raw_response_wrapper,
to_custom_streamed_response_wrapper,
async_to_custom_raw_response_wrapper,
async_to_custom_streamed_response_wrapper,
)
from ...types.audio import speech_create_params
from ..._base_client import make_request_options
__all__ = ["Speech", "AsyncSpeech"]
class Speech(SyncAPIResource):
@cached_property
def with_raw_response(self) -> SpeechWithRawResponse:
"""
This property can be used as a prefix for any HTTP method call to return
the raw response object instead of the parsed content.
For more information, see https://www.github.com/groq/groq-python#accessing-raw-response-data-eg-headers
"""
return SpeechWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> SpeechWithStreamingResponse:
"""
An alternative to `.with_raw_response` that doesn't eagerly read the response body.
For more information, see https://www.github.com/groq/groq-python#with_streaming_response
"""
return SpeechWithStreamingResponse(self)
def create(
self,
*,
input: str,
model: Union[str, Literal["playai-tts", "playai-tts-arabic"]],
voice: str,
response_format: Literal["flac", "mp3", "mulaw", "ogg", "wav"] | NotGiven = NOT_GIVEN,
sample_rate: Literal[8000, 16000, 22050, 24000, 32000, 44100, 48000] | NotGiven = NOT_GIVEN,
speed: 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,
) -> BinaryAPIResponse:
"""
Generates audio from the input text.
Args:
input: The text to generate audio for.
model: One of the [available TTS models](/docs/text-to-speech).
voice: The voice to use when generating the audio. List of voices can be found
[here](/docs/text-to-speech).
response_format: The format of the generated audio. Supported formats are
`flac, mp3, mulaw, ogg, wav`.
sample_rate: The sample rate for generated audio
speed: The speed of the generated audio.
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
"""
extra_headers = {"Accept": "audio/wav", **(extra_headers or {})}
return self._post(
"/openai/v1/audio/speech",
body=maybe_transform(
{
"input": input,
"model": model,
"voice": voice,
"response_format": response_format,
"sample_rate": sample_rate,
"speed": speed,
},
speech_create_params.SpeechCreateParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=BinaryAPIResponse,
)
class AsyncSpeech(AsyncAPIResource):
@cached_property
def with_raw_response(self) -> AsyncSpeechWithRawResponse:
"""
This property can be used as a prefix for any HTTP method call to return
the raw response object instead of the parsed content.
For more information, see https://www.github.com/groq/groq-python#accessing-raw-response-data-eg-headers
"""
return AsyncSpeechWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AsyncSpeechWithStreamingResponse:
"""
An alternative to `.with_raw_response` that doesn't eagerly read the response body.
For more information, see https://www.github.com/groq/groq-python#with_streaming_response
"""
return AsyncSpeechWithStreamingResponse(self)
async def create(
self,
*,
input: str,
model: Union[str, Literal["playai-tts", "playai-tts-arabic"]],
voice: str,
response_format: Literal["flac", "mp3", "mulaw", "ogg", "wav"] | NotGiven = NOT_GIVEN,
sample_rate: Literal[8000, 16000, 22050, 24000, 32000, 44100, 48000] | NotGiven = NOT_GIVEN,
speed: 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,
) -> AsyncBinaryAPIResponse:
"""
Generates audio from the input text.
Args:
input: The text to generate audio for.
model: One of the [available TTS models](/docs/text-to-speech).
voice: The voice to use when generating the audio. List of voices can be found
[here](/docs/text-to-speech).
response_format: The format of the generated audio. Supported formats are
`flac, mp3, mulaw, ogg, wav`.
sample_rate: The sample rate for generated audio
speed: The speed of the generated audio.
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
"""
extra_headers = {"Accept": "audio/wav", **(extra_headers or {})}
return await self._post(
"/openai/v1/audio/speech",
body=await async_maybe_transform(
{
"input": input,
"model": model,
"voice": voice,
"response_format": response_format,
"sample_rate": sample_rate,
"speed": speed,
},
speech_create_params.SpeechCreateParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=AsyncBinaryAPIResponse,
)
class SpeechWithRawResponse:
def __init__(self, speech: Speech) -> None:
self._speech = speech
self.create = to_custom_raw_response_wrapper(
speech.create,
BinaryAPIResponse,
)
class AsyncSpeechWithRawResponse:
def __init__(self, speech: AsyncSpeech) -> None:
self._speech = speech
self.create = async_to_custom_raw_response_wrapper(
speech.create,
AsyncBinaryAPIResponse,
)
class SpeechWithStreamingResponse:
def __init__(self, speech: Speech) -> None:
self._speech = speech
self.create = to_custom_streamed_response_wrapper(
speech.create,
StreamedBinaryAPIResponse,
)
class AsyncSpeechWithStreamingResponse:
def __init__(self, speech: AsyncSpeech) -> None:
self._speech = speech
self.create = async_to_custom_streamed_response_wrapper(
speech.create,
AsyncStreamedBinaryAPIResponse,
)
@@ -0,0 +1,494 @@
# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
from typing import List, Union, Mapping, cast
from typing_extensions import Literal
import httpx
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_raw_response_wrapper,
to_streamed_response_wrapper,
async_to_raw_response_wrapper,
async_to_streamed_response_wrapper,
)
from ...types.audio import transcription_create_params
from ..._base_client import make_request_options
from ...types.audio.transcription import Transcription
__all__ = ["Transcriptions", "AsyncTranscriptions"]
class Transcriptions(SyncAPIResource):
@cached_property
def with_raw_response(self) -> TranscriptionsWithRawResponse:
"""
This property can be used as a prefix for any HTTP method call to return
the raw response object instead of the parsed content.
For more information, see https://www.github.com/groq/groq-python#accessing-raw-response-data-eg-headers
"""
return TranscriptionsWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> TranscriptionsWithStreamingResponse:
"""
An alternative to `.with_raw_response` that doesn't eagerly read the response body.
For more information, see https://www.github.com/groq/groq-python#with_streaming_response
"""
return TranscriptionsWithStreamingResponse(self)
def create(
self,
*,
model: Union[str, Literal["whisper-large-v3", "whisper-large-v3-turbo"]],
file: FileTypes | NotGiven = NOT_GIVEN,
language: Union[
str,
Literal[
"en",
"zh",
"de",
"es",
"ru",
"ko",
"fr",
"ja",
"pt",
"tr",
"pl",
"ca",
"nl",
"ar",
"sv",
"it",
"id",
"hi",
"fi",
"vi",
"he",
"uk",
"el",
"ms",
"cs",
"ro",
"da",
"hu",
"ta",
"no",
"th",
"ur",
"hr",
"bg",
"lt",
"la",
"mi",
"ml",
"cy",
"sk",
"te",
"fa",
"lv",
"bn",
"sr",
"az",
"sl",
"kn",
"et",
"mk",
"br",
"eu",
"is",
"hy",
"ne",
"mn",
"bs",
"kk",
"sq",
"sw",
"gl",
"mr",
"pa",
"si",
"km",
"sn",
"yo",
"so",
"af",
"oc",
"ka",
"be",
"tg",
"sd",
"gu",
"am",
"yi",
"lo",
"uz",
"fo",
"ht",
"ps",
"tk",
"nn",
"mt",
"sa",
"lb",
"my",
"bo",
"tl",
"mg",
"as",
"tt",
"haw",
"ln",
"ha",
"ba",
"jv",
"su",
"yue",
],
]
| NotGiven = NOT_GIVEN,
prompt: str | NotGiven = NOT_GIVEN,
response_format: Literal["json", "text", "verbose_json"] | NotGiven = NOT_GIVEN,
temperature: float | NotGiven = NOT_GIVEN,
timestamp_granularities: List[Literal["word", "segment"]] | NotGiven = NOT_GIVEN,
url: str | 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,
) -> Transcription:
"""
Transcribes audio into the input language.
Args:
model: ID of the model to use. `whisper-large-v3` and `whisper-large-v3-turbo` are
currently available.
file:
The audio file object (not file name) to transcribe, in one of these formats:
flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm. Either a file or a URL must
be provided. Note that the file field is not supported in Batch API requests.
language: The language of the input audio. Supplying the input language in
[ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will
improve accuracy and latency.
prompt: An optional text to guide the model's style or continue a previous audio
segment. The [prompt](/docs/speech-text) should match the audio language.
response_format: The format of the transcript output, in one of these options: `json`, `text`, or
`verbose_json`.
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.
timestamp_granularities: The timestamp granularities to populate for this transcription.
`response_format` must be set `verbose_json` to use timestamp granularities.
Either or both of these options are supported: `word`, or `segment`. Note: There
is no additional latency for segment timestamps, but generating word timestamps
incurs additional latency.
url: The audio URL to translate/transcribe (supports Base64URL). Either a file or a
URL must be provided. For Batch API requests, the URL field is required since
the file field is not supported.
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(
{
"model": model,
"file": file,
"language": language,
"prompt": prompt,
"response_format": response_format,
"temperature": temperature,
"timestamp_granularities": timestamp_granularities,
"url": url,
}
)
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(
"/openai/v1/audio/transcriptions",
body=maybe_transform(body, transcription_create_params.TranscriptionCreateParams),
files=files,
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Transcription,
)
class AsyncTranscriptions(AsyncAPIResource):
@cached_property
def with_raw_response(self) -> AsyncTranscriptionsWithRawResponse:
"""
This property can be used as a prefix for any HTTP method call to return
the raw response object instead of the parsed content.
For more information, see https://www.github.com/groq/groq-python#accessing-raw-response-data-eg-headers
"""
return AsyncTranscriptionsWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AsyncTranscriptionsWithStreamingResponse:
"""
An alternative to `.with_raw_response` that doesn't eagerly read the response body.
For more information, see https://www.github.com/groq/groq-python#with_streaming_response
"""
return AsyncTranscriptionsWithStreamingResponse(self)
async def create(
self,
*,
model: Union[str, Literal["whisper-large-v3", "whisper-large-v3-turbo"]],
file: FileTypes | NotGiven = NOT_GIVEN,
language: Union[
str,
Literal[
"en",
"zh",
"de",
"es",
"ru",
"ko",
"fr",
"ja",
"pt",
"tr",
"pl",
"ca",
"nl",
"ar",
"sv",
"it",
"id",
"hi",
"fi",
"vi",
"he",
"uk",
"el",
"ms",
"cs",
"ro",
"da",
"hu",
"ta",
"no",
"th",
"ur",
"hr",
"bg",
"lt",
"la",
"mi",
"ml",
"cy",
"sk",
"te",
"fa",
"lv",
"bn",
"sr",
"az",
"sl",
"kn",
"et",
"mk",
"br",
"eu",
"is",
"hy",
"ne",
"mn",
"bs",
"kk",
"sq",
"sw",
"gl",
"mr",
"pa",
"si",
"km",
"sn",
"yo",
"so",
"af",
"oc",
"ka",
"be",
"tg",
"sd",
"gu",
"am",
"yi",
"lo",
"uz",
"fo",
"ht",
"ps",
"tk",
"nn",
"mt",
"sa",
"lb",
"my",
"bo",
"tl",
"mg",
"as",
"tt",
"haw",
"ln",
"ha",
"ba",
"jv",
"su",
"yue",
],
]
| NotGiven = NOT_GIVEN,
prompt: str | NotGiven = NOT_GIVEN,
response_format: Literal["json", "text", "verbose_json"] | NotGiven = NOT_GIVEN,
temperature: float | NotGiven = NOT_GIVEN,
timestamp_granularities: List[Literal["word", "segment"]] | NotGiven = NOT_GIVEN,
url: str | 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,
) -> Transcription:
"""
Transcribes audio into the input language.
Args:
model: ID of the model to use. `whisper-large-v3` and `whisper-large-v3-turbo` are
currently available.
file:
The audio file object (not file name) to transcribe, in one of these formats:
flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm. Either a file or a URL must
be provided. Note that the file field is not supported in Batch API requests.
language: The language of the input audio. Supplying the input language in
[ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will
improve accuracy and latency.
prompt: An optional text to guide the model's style or continue a previous audio
segment. The [prompt](/docs/speech-text) should match the audio language.
response_format: The format of the transcript output, in one of these options: `json`, `text`, or
`verbose_json`.
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.
timestamp_granularities: The timestamp granularities to populate for this transcription.
`response_format` must be set `verbose_json` to use timestamp granularities.
Either or both of these options are supported: `word`, or `segment`. Note: There
is no additional latency for segment timestamps, but generating word timestamps
incurs additional latency.
url: The audio URL to translate/transcribe (supports Base64URL). Either a file or a
URL must be provided. For Batch API requests, the URL field is required since
the file field is not supported.
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(
{
"model": model,
"file": file,
"language": language,
"prompt": prompt,
"response_format": response_format,
"temperature": temperature,
"timestamp_granularities": timestamp_granularities,
"url": url,
}
)
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(
"/openai/v1/audio/transcriptions",
body=await async_maybe_transform(body, transcription_create_params.TranscriptionCreateParams),
files=files,
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Transcription,
)
class TranscriptionsWithRawResponse:
def __init__(self, transcriptions: Transcriptions) -> None:
self._transcriptions = transcriptions
self.create = to_raw_response_wrapper(
transcriptions.create,
)
class AsyncTranscriptionsWithRawResponse:
def __init__(self, transcriptions: AsyncTranscriptions) -> None:
self._transcriptions = transcriptions
self.create = async_to_raw_response_wrapper(
transcriptions.create,
)
class TranscriptionsWithStreamingResponse:
def __init__(self, transcriptions: Transcriptions) -> None:
self._transcriptions = transcriptions
self.create = to_streamed_response_wrapper(
transcriptions.create,
)
class AsyncTranscriptionsWithStreamingResponse:
def __init__(self, transcriptions: AsyncTranscriptions) -> None:
self._transcriptions = transcriptions
self.create = async_to_streamed_response_wrapper(
transcriptions.create,
)
@@ -0,0 +1,254 @@
# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
from typing import Union, Mapping, cast
from typing_extensions import Literal
import httpx
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_raw_response_wrapper,
to_streamed_response_wrapper,
async_to_raw_response_wrapper,
async_to_streamed_response_wrapper,
)
from ...types.audio import translation_create_params
from ..._base_client import make_request_options
from ...types.audio.translation import Translation
__all__ = ["Translations", "AsyncTranslations"]
class Translations(SyncAPIResource):
@cached_property
def with_raw_response(self) -> TranslationsWithRawResponse:
"""
This property can be used as a prefix for any HTTP method call to return
the raw response object instead of the parsed content.
For more information, see https://www.github.com/groq/groq-python#accessing-raw-response-data-eg-headers
"""
return TranslationsWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> TranslationsWithStreamingResponse:
"""
An alternative to `.with_raw_response` that doesn't eagerly read the response body.
For more information, see https://www.github.com/groq/groq-python#with_streaming_response
"""
return TranslationsWithStreamingResponse(self)
def create(
self,
*,
model: Union[str, Literal["whisper-large-v3", "whisper-large-v3-turbo"]],
file: FileTypes | NotGiven = NOT_GIVEN,
prompt: str | NotGiven = NOT_GIVEN,
response_format: Literal["json", "text", "verbose_json"] | NotGiven = NOT_GIVEN,
temperature: float | NotGiven = NOT_GIVEN,
url: str | 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:
model: ID of the model to use.
`whisper-large-v3` and `whisper-large-v3-turbo` are
currently available.
file: The audio file object (not file name) translate, in one of these formats: flac,
mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
prompt: An optional text to guide the model's style or continue a previous audio
segment. The [prompt](/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`, or
`verbose_json`.
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.
url: The audio URL to translate/transcribe (supports Base64URL). Either file or url
must be provided. When using the Batch API only url is supported.
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(
{
"model": model,
"file": file,
"prompt": prompt,
"response_format": response_format,
"temperature": temperature,
"url": url,
}
)
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(
"/openai/v1/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:
"""
This property can be used as a prefix for any HTTP method call to return
the raw response object instead of the parsed content.
For more information, see https://www.github.com/groq/groq-python#accessing-raw-response-data-eg-headers
"""
return AsyncTranslationsWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AsyncTranslationsWithStreamingResponse:
"""
An alternative to `.with_raw_response` that doesn't eagerly read the response body.
For more information, see https://www.github.com/groq/groq-python#with_streaming_response
"""
return AsyncTranslationsWithStreamingResponse(self)
async def create(
self,
*,
model: Union[str, Literal["whisper-large-v3", "whisper-large-v3-turbo"]],
file: FileTypes | NotGiven = NOT_GIVEN,
prompt: str | NotGiven = NOT_GIVEN,
response_format: Literal["json", "text", "verbose_json"] | NotGiven = NOT_GIVEN,
temperature: float | NotGiven = NOT_GIVEN,
url: str | 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:
model: ID of the model to use.
`whisper-large-v3` and `whisper-large-v3-turbo` are
currently available.
file: The audio file object (not file name) translate, in one of these formats: flac,
mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
prompt: An optional text to guide the model's style or continue a previous audio
segment. The [prompt](/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`, or
`verbose_json`.
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.
url: The audio URL to translate/transcribe (supports Base64URL). Either file or url
must be provided. When using the Batch API only url is supported.
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(
{
"model": model,
"file": file,
"prompt": prompt,
"response_format": response_format,
"temperature": temperature,
"url": url,
}
)
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(
"/openai/v1/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 = to_raw_response_wrapper(
translations.create,
)
class AsyncTranslationsWithRawResponse:
def __init__(self, translations: AsyncTranslations) -> None:
self._translations = translations
self.create = 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,
)