Merge pull request elevenlabs#267 from elevenlabs/fern-bot/04-18-2024-1039AM

🌿 Fern Regeneration -- April 18, 2024

Author: lharries

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "elevenlabs"
-version = "v1.1.1"
+version = "v1.1.2"
 description = ""
 readme = "README.md"
 authors = []

src/elevenlabs/core/client_wrapper.py

@@ -17,7 +17,7 @@ def get_headers(self) -> typing.Dict[str, str]:
         headers: typing.Dict[str, str] = {
             "X-Fern-Language": "Python",
             "X-Fern-SDK-Name": "elevenlabs",
-            "X-Fern-SDK-Version": "v1.1.1",
+            "X-Fern-SDK-Version": "v1.1.2",
         }
         if self._api_key is not None:
             headers["xi-api-key"] = self._api_key

src/elevenlabs/text_to_speech/client.py

@@ -26,8 +26,8 @@ def convert(
         self,
         voice_id: str,
         *,
-        optimize_streaming_latency: OptimizeStreamingLatency,
-        output_format: OutputFormat,
+        optimize_streaming_latency: typing.Optional[OptimizeStreamingLatency] = None,
+        output_format: typing.Optional[OutputFormat] = None,
         text: str,
         model_id: typing.Optional[str] = OMIT,
         voice_settings: typing.Optional[VoiceSettings] = OMIT,
@@ -42,9 +42,9 @@ def convert(
         Parameters:
             - voice_id: str. Voice ID to be used, you can use https://api.elevenlabs.io/v1/voices to list all the available voices.
 
-            - optimize_streaming_latency: OptimizeStreamingLatency. You can turn on latency optimizations at some cost of quality. The best possible final latency varies by model.
+            - optimize_streaming_latency: typing.Optional[OptimizeStreamingLatency]. You can turn on latency optimizations at some cost of quality. The best possible final latency varies by model.
 
-            - output_format: OutputFormat. The output format of the generated audio.
+            - output_format: typing.Optional[OutputFormat]. The output format of the generated audio.
 
             - text: str. The text that will get converted into speech.
 
@@ -63,8 +63,6 @@ def convert(
         )
         client.text_to_speech.convert(
             voice_id="voice_id",
-            optimize_streaming_latency="0",
-            output_format="mp3_22050_32",
             text="text",
         )
         """
@@ -128,8 +126,8 @@ def convert_as_stream(
         self,
         voice_id: str,
         *,
-        optimize_streaming_latency: OptimizeStreamingLatency,
-        output_format: OutputFormat,
+        optimize_streaming_latency: typing.Optional[OptimizeStreamingLatency] = None,
+        output_format: typing.Optional[OutputFormat] = None,
         text: str,
         model_id: typing.Optional[str] = OMIT,
         voice_settings: typing.Optional[VoiceSettings] = OMIT,
@@ -144,9 +142,9 @@ def convert_as_stream(
         Parameters:
             - voice_id: str. Voice ID to be used, you can use https://api.elevenlabs.io/v1/voices to list all the available voices.
 
-            - optimize_streaming_latency: OptimizeStreamingLatency. You can turn on latency optimizations at some cost of quality. The best possible final latency varies by model.
+            - optimize_streaming_latency: typing.Optional[OptimizeStreamingLatency]. You can turn on latency optimizations at some cost of quality. The best possible final latency varies by model.
 
-            - output_format: OutputFormat. The output format of the generated audio.
+            - output_format: typing.Optional[OutputFormat]. The output format of the generated audio.
 
             - text: str. The text that will get converted into speech.
 
@@ -165,8 +163,6 @@ def convert_as_stream(
         )
         client.text_to_speech.convert_as_stream(
             voice_id="voice_id",
-            optimize_streaming_latency="0",
-            output_format="mp3_22050_32",
             text="text",
         )
         """
@@ -235,8 +231,8 @@ async def convert(
         self,
         voice_id: str,
         *,
-        optimize_streaming_latency: OptimizeStreamingLatency,
-        output_format: OutputFormat,
+        optimize_streaming_latency: typing.Optional[OptimizeStreamingLatency] = None,
+        output_format: typing.Optional[OutputFormat] = None,
         text: str,
         model_id: typing.Optional[str] = OMIT,
         voice_settings: typing.Optional[VoiceSettings] = OMIT,
@@ -251,9 +247,9 @@ async def convert(
         Parameters:
             - voice_id: str. Voice ID to be used, you can use https://api.elevenlabs.io/v1/voices to list all the available voices.
 
-            - optimize_streaming_latency: OptimizeStreamingLatency. You can turn on latency optimizations at some cost of quality. The best possible final latency varies by model.
+            - optimize_streaming_latency: typing.Optional[OptimizeStreamingLatency]. You can turn on latency optimizations at some cost of quality. The best possible final latency varies by model.
 
-            - output_format: OutputFormat. The output format of the generated audio.
+            - output_format: typing.Optional[OutputFormat]. The output format of the generated audio.
 
             - text: str. The text that will get converted into speech.
 
@@ -272,8 +268,6 @@ async def convert(
         )
         await client.text_to_speech.convert(
             voice_id="voice_id",
-            optimize_streaming_latency="0",
-            output_format="mp3_22050_32",
             text="text",
         )
         """
@@ -337,8 +331,8 @@ async def convert_as_stream(
         self,
         voice_id: str,
         *,
-        optimize_streaming_latency: OptimizeStreamingLatency,
-        output_format: OutputFormat,
+        optimize_streaming_latency: typing.Optional[OptimizeStreamingLatency] = None,
+        output_format: typing.Optional[OutputFormat] = None,
         text: str,
         model_id: typing.Optional[str] = OMIT,
         voice_settings: typing.Optional[VoiceSettings] = OMIT,
@@ -353,9 +347,9 @@ async def convert_as_stream(
         Parameters:
             - voice_id: str. Voice ID to be used, you can use https://api.elevenlabs.io/v1/voices to list all the available voices.
 
-            - optimize_streaming_latency: OptimizeStreamingLatency. You can turn on latency optimizations at some cost of quality. The best possible final latency varies by model.
+            - optimize_streaming_latency: typing.Optional[OptimizeStreamingLatency]. You can turn on latency optimizations at some cost of quality. The best possible final latency varies by model.
 
-            - output_format: OutputFormat. The output format of the generated audio.
+            - output_format: typing.Optional[OutputFormat]. The output format of the generated audio.
 
             - text: str. The text that will get converted into speech.
 
@@ -374,8 +368,6 @@ async def convert_as_stream(
         )
         await client.text_to_speech.convert_as_stream(
             voice_id="voice_id",
-            optimize_streaming_latency="0",
-            output_format="mp3_22050_32",
             text="text",
         )
         """