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client.py
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client.py
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# This file was auto-generated by Fern from our API Definition.
import typing
import urllib.parse
from json.decoder import JSONDecodeError
from .. import core
from ..core.api_error import ApiError
from ..core.client_wrapper import AsyncClientWrapper, SyncClientWrapper
from ..core.jsonable_encoder import jsonable_encoder
from ..core.remove_none_from_dict import remove_none_from_dict
from ..core.request_options import RequestOptions
from ..errors.unprocessable_entity_error import UnprocessableEntityError
from ..types.audio_native_create_project_response_model import AudioNativeCreateProjectResponseModel
from ..types.http_validation_error import HttpValidationError
try:
import pydantic.v1 as pydantic # type: ignore
except ImportError:
import pydantic # type: ignore
# this is used as the default value for optional parameters
OMIT = typing.cast(typing.Any, ...)
class AudioNativeClient:
def __init__(self, *, client_wrapper: SyncClientWrapper):
self._client_wrapper = client_wrapper
def create(
self,
*,
name: str,
image: typing.Optional[str] = None,
author: typing.Optional[str] = None,
title: typing.Optional[str] = None,
small: typing.Optional[bool] = None,
text_color: typing.Optional[str] = None,
background_color: typing.Optional[str] = None,
sessionization: typing.Optional[int] = None,
voice_id: typing.Optional[str] = None,
model_id: typing.Optional[str] = None,
file: core.File,
auto_convert: typing.Optional[bool] = None,
request_options: typing.Optional[RequestOptions] = None,
) -> AudioNativeCreateProjectResponseModel:
"""
Creates AudioNative enabled project, optionally starts conversion and returns project id and embeddable html snippet.
Parameters:
- name: str. Project name.
- image: typing.Optional[str]. Image URL used in the player. If not provided, default image set in the Player settings is used.
- author: typing.Optional[str]. Author used in the player and inserted at the start of the uploaded article. If not provided, the default author set in the Player settings is used.
- title: typing.Optional[str]. Title used in the player and inserted at the top of the uploaded article. If not provided, the default title set in the Player settings is used.
- small: typing.Optional[bool]. Whether to use small player or not. If not provided, default value set in the Player settings is used.
- text_color: typing.Optional[str]. Text color used in the player. If not provided, default text color set in the Player settings is used.
- background_color: typing.Optional[str]. Background color used in the player. If not provided, default background color set in the Player settings is used.
- sessionization: typing.Optional[int]. Specifies for how many minutes to persist the session across page reloads. If not provided, default sessionization set in the Player settings is used.
- voice_id: typing.Optional[str]. Voice ID used to voice the content. If not provided, default voice ID set in the Player settings is used.
- model_id: typing.Optional[str]. TTS Model ID used in the player. If not provided, default model ID set in the Player settings is used.
- file: core.File. See core.File for more documentation
- auto_convert: typing.Optional[bool]. Whether to auto convert the project to audio or not.
- request_options: typing.Optional[RequestOptions]. Request-specific configuration.
---
from elevenlabs.client import ElevenLabs
client = ElevenLabs(
api_key="YOUR_API_KEY",
)
client.audio_native.create()
"""
_response = self._client_wrapper.httpx_client.request(
"POST",
urllib.parse.urljoin(f"{self._client_wrapper.get_base_url()}/", "v1/audio-native"),
params=jsonable_encoder(
request_options.get("additional_query_parameters") if request_options is not None else None
),
data=jsonable_encoder(
remove_none_from_dict(
{
"name": name,
"image": image,
"author": author,
"title": title,
"small": small,
"text_color": text_color,
"background_color": background_color,
"sessionization": sessionization,
"voice_id": voice_id,
"model_id": model_id,
"auto_convert": auto_convert,
}
)
)
if request_options is None or request_options.get("additional_body_parameters") is None
else {
**jsonable_encoder(
remove_none_from_dict(
{
"name": name,
"image": image,
"author": author,
"title": title,
"small": small,
"text_color": text_color,
"background_color": background_color,
"sessionization": sessionization,
"voice_id": voice_id,
"model_id": model_id,
"auto_convert": auto_convert,
}
)
),
**(jsonable_encoder(remove_none_from_dict(request_options.get("additional_body_parameters", {})))),
},
files=core.convert_file_dict_to_httpx_tuples(remove_none_from_dict({"file": file})),
headers=jsonable_encoder(
remove_none_from_dict(
{
**self._client_wrapper.get_headers(),
**(request_options.get("additional_headers", {}) if request_options is not None else {}),
}
)
),
timeout=request_options.get("timeout_in_seconds")
if request_options is not None and request_options.get("timeout_in_seconds") is not None
else self._client_wrapper.get_timeout(),
retries=0,
max_retries=request_options.get("max_retries") if request_options is not None else 0, # type: ignore
)
if 200 <= _response.status_code < 300:
return pydantic.parse_obj_as(AudioNativeCreateProjectResponseModel, _response.json()) # type: ignore
if _response.status_code == 422:
raise UnprocessableEntityError(pydantic.parse_obj_as(HttpValidationError, _response.json())) # type: ignore
try:
_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 AsyncAudioNativeClient:
def __init__(self, *, client_wrapper: AsyncClientWrapper):
self._client_wrapper = client_wrapper
async def create(
self,
*,
name: str,
image: typing.Optional[str] = None,
author: typing.Optional[str] = None,
title: typing.Optional[str] = None,
small: typing.Optional[bool] = None,
text_color: typing.Optional[str] = None,
background_color: typing.Optional[str] = None,
sessionization: typing.Optional[int] = None,
voice_id: typing.Optional[str] = None,
model_id: typing.Optional[str] = None,
file: core.File,
auto_convert: typing.Optional[bool] = None,
request_options: typing.Optional[RequestOptions] = None,
) -> AudioNativeCreateProjectResponseModel:
"""
Creates AudioNative enabled project, optionally starts conversion and returns project id and embeddable html snippet.
Parameters:
- name: str. Project name.
- image: typing.Optional[str]. Image URL used in the player. If not provided, default image set in the Player settings is used.
- author: typing.Optional[str]. Author used in the player and inserted at the start of the uploaded article. If not provided, the default author set in the Player settings is used.
- title: typing.Optional[str]. Title used in the player and inserted at the top of the uploaded article. If not provided, the default title set in the Player settings is used.
- small: typing.Optional[bool]. Whether to use small player or not. If not provided, default value set in the Player settings is used.
- text_color: typing.Optional[str]. Text color used in the player. If not provided, default text color set in the Player settings is used.
- background_color: typing.Optional[str]. Background color used in the player. If not provided, default background color set in the Player settings is used.
- sessionization: typing.Optional[int]. Specifies for how many minutes to persist the session across page reloads. If not provided, default sessionization set in the Player settings is used.
- voice_id: typing.Optional[str]. Voice ID used to voice the content. If not provided, default voice ID set in the Player settings is used.
- model_id: typing.Optional[str]. TTS Model ID used in the player. If not provided, default model ID set in the Player settings is used.
- file: core.File. See core.File for more documentation
- auto_convert: typing.Optional[bool]. Whether to auto convert the project to audio or not.
- request_options: typing.Optional[RequestOptions]. Request-specific configuration.
---
from elevenlabs.client import AsyncElevenLabs
client = AsyncElevenLabs(
api_key="YOUR_API_KEY",
)
await client.audio_native.create()
"""
_response = await self._client_wrapper.httpx_client.request(
"POST",
urllib.parse.urljoin(f"{self._client_wrapper.get_base_url()}/", "v1/audio-native"),
params=jsonable_encoder(
request_options.get("additional_query_parameters") if request_options is not None else None
),
data=jsonable_encoder(
remove_none_from_dict(
{
"name": name,
"image": image,
"author": author,
"title": title,
"small": small,
"text_color": text_color,
"background_color": background_color,
"sessionization": sessionization,
"voice_id": voice_id,
"model_id": model_id,
"auto_convert": auto_convert,
}
)
)
if request_options is None or request_options.get("additional_body_parameters") is None
else {
**jsonable_encoder(
remove_none_from_dict(
{
"name": name,
"image": image,
"author": author,
"title": title,
"small": small,
"text_color": text_color,
"background_color": background_color,
"sessionization": sessionization,
"voice_id": voice_id,
"model_id": model_id,
"auto_convert": auto_convert,
}
)
),
**(jsonable_encoder(remove_none_from_dict(request_options.get("additional_body_parameters", {})))),
},
files=core.convert_file_dict_to_httpx_tuples(remove_none_from_dict({"file": file})),
headers=jsonable_encoder(
remove_none_from_dict(
{
**self._client_wrapper.get_headers(),
**(request_options.get("additional_headers", {}) if request_options is not None else {}),
}
)
),
timeout=request_options.get("timeout_in_seconds")
if request_options is not None and request_options.get("timeout_in_seconds") is not None
else self._client_wrapper.get_timeout(),
retries=0,
max_retries=request_options.get("max_retries") if request_options is not None else 0, # type: ignore
)
if 200 <= _response.status_code < 300:
return pydantic.parse_obj_as(AudioNativeCreateProjectResponseModel, _response.json()) # type: ignore
if _response.status_code == 422:
raise UnprocessableEntityError(pydantic.parse_obj_as(HttpValidationError, _response.json())) # type: ignore
try:
_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)