Release 1.2.1

Author: fern-api[bot]

pyproject.toml

@@ -3,7 +3,7 @@ name = "speechify-api"
 
 [tool.poetry]
 name = "speechify-api"
-version = "1.2.0"
+version = "1.2.1"
 description = "Official Speechify API SDK"
 readme = "README.md"
 authors = [

src/speechify/core/client_wrapper.py

@@ -22,7 +22,7 @@ def get_headers(self) -> typing.Dict[str, str]:
         headers: typing.Dict[str, str] = {
             "X-Fern-Language": "Python",
             "X-Fern-SDK-Name": "speechify-api",
-            "X-Fern-SDK-Version": "1.2.0",
+            "X-Fern-SDK-Version": "1.2.1",
         }
         headers["Authorization"] = f"Bearer {self._get_token()}"
         return headers

src/speechify/tts/types/created_voice.py

@@ -11,12 +11,12 @@
 
 class CreatedVoice(UniversalBaseModel):
     avatar_image: typing.Optional[str] = None
-    display_name: typing.Optional[str] = None
-    gender: typing.Optional[CreatedVoiceGender] = None
-    locale: typing.Optional[str] = None
-    id: typing.Optional[str] = None
-    models: typing.Optional[typing.List[CreateVoiceModel]] = None
-    type: typing.Optional[CreatedVoiceType] = None
+    display_name: str
+    gender: CreatedVoiceGender
+    locale: str
+    id: str
+    models: typing.List[CreateVoiceModel]
+    type: CreatedVoiceType
 
     if IS_PYDANTIC_V2:
         model_config: typing.ClassVar[pydantic.ConfigDict] = pydantic.ConfigDict(extra="allow", frozen=True)  # type: ignore # Pydantic v2

src/speechify/tts/types/get_speech_response.py

@@ -1,30 +1,30 @@
 # This file was auto-generated by Fern from our API Definition.
 
 from ...core.pydantic_utilities import UniversalBaseModel
-import typing
 import pydantic
 from .get_speech_response_audio_format import GetSpeechResponseAudioFormat
 from .speech_marks import SpeechMarks
 from ...core.pydantic_utilities import IS_PYDANTIC_V2
+import typing
 
 
 class GetSpeechResponse(UniversalBaseModel):
-    audio_data: typing.Optional[str] = pydantic.Field(default=None)
+    audio_data: str = pydantic.Field()
     """
     Synthesized speech audio, Base64-encoded
     """
 
-    audio_format: typing.Optional[GetSpeechResponseAudioFormat] = pydantic.Field(default=None)
+    audio_format: GetSpeechResponseAudioFormat = pydantic.Field()
     """
     The format of the audio data
     """
 
-    billable_characters_count: typing.Optional[int] = pydantic.Field(default=None)
+    billable_characters_count: int = pydantic.Field()
     """
     The number of billable characters processed in the request.
     """
 
-    speech_marks: typing.Optional[SpeechMarks] = None
+    speech_marks: SpeechMarks
 
     if IS_PYDANTIC_V2:
         model_config: typing.ClassVar[pydantic.ConfigDict] = pydantic.ConfigDict(extra="allow", frozen=True)  # type: ignore # Pydantic v2

src/speechify/tts/types/get_voice.py

@@ -11,14 +11,14 @@
 
 class GetVoice(UniversalBaseModel):
     avatar_image: typing.Optional[str] = None
-    display_name: typing.Optional[str] = None
-    gender: typing.Optional[GetVoiceGender] = None
-    locale: typing.Optional[str] = None
-    id: typing.Optional[str] = None
-    models: typing.Optional[typing.List[GetVoicesModel]] = None
+    display_name: str
+    gender: GetVoiceGender
+    locale: str
+    id: str
+    models: typing.List[GetVoicesModel]
     preview_audio: typing.Optional[str] = None
     tags: typing.Optional[typing.List[str]] = None
-    type: typing.Optional[GetVoiceType] = None
+    type: GetVoiceType
 
     if IS_PYDANTIC_V2:
         model_config: typing.ClassVar[pydantic.ConfigDict] = pydantic.ConfigDict(extra="allow", frozen=True)  # type: ignore # Pydantic v2

src/speechify/tts/types/get_voice_language.py

@@ -7,7 +7,7 @@
 
 
 class GetVoiceLanguage(UniversalBaseModel):
-    locale: typing.Optional[str] = None
+    locale: str
     preview_audio: typing.Optional[str] = None
 
     if IS_PYDANTIC_V2:

src/speechify/tts/types/get_voices_model.py

@@ -9,8 +9,8 @@
 
 
 class GetVoicesModel(UniversalBaseModel):
-    languages: typing.Optional[typing.List[GetVoiceLanguage]] = None
-    name: typing.Optional[GetVoicesModelName] = None
+    languages: typing.List[GetVoiceLanguage]
+    name: GetVoicesModelName
 
     if IS_PYDANTIC_V2:
         model_config: typing.ClassVar[pydantic.ConfigDict] = pydantic.ConfigDict(extra="allow", frozen=True)  # type: ignore # Pydantic v2

src/speechify/tts/types/speech_marks.py

@@ -12,16 +12,16 @@ class SpeechMarks(UniversalBaseModel):
     It is used to annotate the audio data with metadata about the synthesis process, like word timing or phoneme details.
     """
 
-    chunks: typing.Optional[typing.List[NestedChunk]] = pydantic.Field(default=None)
+    chunks: typing.List[NestedChunk] = pydantic.Field()
     """
     Array of NestedChunk, each providing detailed segment information within the synthesized speech.
     """
 
-    end: typing.Optional[int] = None
-    end_time: typing.Optional[float] = None
-    start: typing.Optional[int] = None
-    start_time: typing.Optional[float] = None
-    type: typing.Optional[str] = None
+    end: int
+    end_time: float
+    start: int
+    start_time: float
+    type: str
     value: typing.Optional[str] = None
 
     if IS_PYDANTIC_V2: