Release 1.1.0

Author: fern-api[bot]

pyproject.toml

@@ -3,7 +3,7 @@ name = "speechify-api"
 
 [tool.poetry]
 name = "speechify-api"
-version = "1.0.0"
+version = "1.1.0"
 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": "1.0.0",
+            "X-Fern-SDK-Version": "1.1.0",
         }
         headers["Authorization"] = f"Bearer {self._get_token()}"
         return headers

src/speechify/tts/types/get_speech_options_request.py

@@ -22,6 +22,12 @@ class GetSpeechOptionsRequest(UniversalBaseModel):
     Enabling loudness normalization can increase latency due to additional processing required for audio level adjustments.
     """
 
+    text_normalization: typing.Optional[bool] = pydantic.Field(default=None)
+    """
+    Determines whether to normalize the text. If enabled, it will transform numbers, dates, etc. into words. For example, "55" is normalized into "fifty five".
+    This can increase latency due to additional processing required for text normalization.
+    """
+
     if IS_PYDANTIC_V2:
         model_config: typing.ClassVar[pydantic.ConfigDict] = pydantic.ConfigDict(extra="allow", frozen=True)  # type: ignore # Pydantic v2
     else:

src/speechify/tts/types/get_stream_options_request.py

@@ -22,6 +22,12 @@ class GetStreamOptionsRequest(UniversalBaseModel):
     Enabling loudness normalization can increase latency due to additional processing required for audio level adjustments.
     """
 
+    text_normalization: typing.Optional[bool] = pydantic.Field(default=None)
+    """
+    Determines whether to normalize the text. If enabled, it will transform numbers, dates, etc. into words. For example, "55" is normalized into "fifty five".
+    This can increase latency due to additional processing required for text normalization.
+    """
+
     if IS_PYDANTIC_V2:
         model_config: typing.ClassVar[pydantic.ConfigDict] = pydantic.ConfigDict(extra="allow", frozen=True)  # type: ignore # Pydantic v2
     else: