Merge pull request #435 from golbin/main
Add speed and emotion options for Cartesia.
This commit is contained in:
@@ -78,7 +78,9 @@ async def main():
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tts = CartesiaTTSService(
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api_key=os.getenv("CARTESIA_API_KEY"),
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voice_id="79a125e8-cd45-4c13-8a67-188112f4dd22", # British Lady
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sample_rate=16000,
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params=CartesiaTTSService.InputParams(
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sample_rate=16000,
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),
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)
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@transport.event_handler("on_first_participant_joined")
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@@ -131,7 +131,9 @@ async def main():
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api_key=os.getenv("CARTESIA_API_KEY"),
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voice_id=os.getenv("CARTESIA_VOICE_ID", "4d2fd738-3b3d-4368-957a-bb4805275bd9"),
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# British Narration Lady: 4d2fd738-3b3d-4368-957a-bb4805275bd9
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sample_rate=44100,
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params=CartesiaTTSService.InputParams(
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sample_rate=44100,
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),
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)
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llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o-mini")
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@@ -9,7 +9,8 @@ import uuid
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import base64
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import asyncio
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from typing import AsyncGenerator
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from typing import AsyncGenerator, Optional, Union, List
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from pydantic.main import BaseModel
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from pipecat.frames.frames import (
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CancelFrame,
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@@ -61,6 +62,14 @@ def language_to_cartesia_language(language: Language) -> str | None:
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class CartesiaTTSService(AsyncWordTTSService):
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class InputParams(BaseModel):
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encoding: Optional[str] = "pcm_s16le"
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sample_rate: Optional[int] = 16000
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container: Optional[str] = "raw"
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language: Optional[str] = "en"
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speed: Optional[Union[str, float]] = ""
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emotion: Optional[List[str]] = []
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def __init__(
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self,
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*,
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@@ -69,9 +78,7 @@ class CartesiaTTSService(AsyncWordTTSService):
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cartesia_version: str = "2024-06-10",
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url: str = "wss://api.cartesia.ai/tts/websocket",
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model_id: str = "sonic-english",
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encoding: str = "pcm_s16le",
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sample_rate: int = 16000,
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language: str = "en",
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params: InputParams = InputParams(),
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**kwargs,
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):
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# Aggregating sentences still gives cleaner-sounding results and fewer
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@@ -85,20 +92,26 @@ class CartesiaTTSService(AsyncWordTTSService):
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# can use those to generate text frames ourselves aligned with the
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# playout timing of the audio!
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super().__init__(
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aggregate_sentences=True, push_text_frames=False, sample_rate=sample_rate, **kwargs
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aggregate_sentences=True,
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push_text_frames=False,
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sample_rate=params.sample_rate,
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**kwargs,
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)
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self._api_key = api_key
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self._cartesia_version = cartesia_version
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self._url = url
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self._voice_id = voice_id
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self._model_id = model_id
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self.set_model_name(model_id)
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self._output_format = {
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"container": "raw",
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"encoding": encoding,
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"sample_rate": sample_rate,
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"container": params.container,
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"encoding": params.encoding,
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"sample_rate": params.sample_rate,
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}
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self._language = language
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self._language = params.language
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self._speed = params.speed
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self._emotion = params.emotion
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self._websocket = None
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self._context_id = None
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@@ -108,6 +121,7 @@ class CartesiaTTSService(AsyncWordTTSService):
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return True
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async def set_model(self, model: str):
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self._model_id = model
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await super().set_model(model)
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logger.debug(f"Switching TTS model to: [{model}]")
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@@ -115,10 +129,42 @@ class CartesiaTTSService(AsyncWordTTSService):
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logger.debug(f"Switching TTS voice to: [{voice}]")
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self._voice_id = voice
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async def set_speed(self, speed: str):
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logger.debug(f"Switching TTS speed to: [{speed}]")
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self._speed = speed
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async def set_emotion(self, emotion: list[str]):
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logger.debug(f"Switching TTS emotion to: [{emotion}]")
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self._emotion = emotion
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async def set_language(self, language: Language):
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logger.debug(f"Switching TTS language to: [{language}]")
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self._language = language_to_cartesia_language(language)
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def _build_msg(
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self, text: str = "", continue_transcript: bool = True, add_timestamps: bool = True
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):
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voice_config = {"mode": "id", "id": self._voice_id}
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if self._speed or self._emotion:
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voice_config["__experimental_controls"] = {}
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if self._speed:
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voice_config["__experimental_controls"]["speed"] = self._speed
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if self._emotion:
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voice_config["__experimental_controls"]["emotion"] = self._emotion
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msg = {
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"transcript": text,
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"continue": continue_transcript,
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"context_id": self._context_id,
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"model_id": self._model_name,
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"voice": voice_config,
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"output_format": self._output_format,
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"language": self._language,
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"add_timestamps": add_timestamps,
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}
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return json.dumps(msg)
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async def start(self, frame: StartFrame):
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await super().start(frame)
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await self._connect()
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@@ -134,7 +180,8 @@ class CartesiaTTSService(AsyncWordTTSService):
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async def _connect(self):
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try:
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self._websocket = await websockets.connect(
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f"{self._url}?api_key={self._api_key}&cartesia_version={self._cartesia_version}"
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f"{self._url}?api_key={self._api_key}&cartesia_version={
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self._cartesia_version}"
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)
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self._receive_task = self.get_event_loop().create_task(self._receive_task_handler())
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except Exception as e:
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@@ -173,17 +220,8 @@ class CartesiaTTSService(AsyncWordTTSService):
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if not self._context_id or not self._websocket:
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return
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logger.trace("Flushing audio")
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msg = {
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"transcript": "",
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"continue": False,
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"context_id": self._context_id,
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"model_id": self.model_name,
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"voice": {"mode": "id", "id": self._voice_id},
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"output_format": self._output_format,
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"language": self._language,
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"add_timestamps": True,
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}
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await self._websocket.send(json.dumps(msg))
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msg = self._build_msg(text="", continue_transcript=False)
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await self._websocket.send(msg)
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async def _receive_task_handler(self):
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try:
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@@ -236,18 +274,10 @@ class CartesiaTTSService(AsyncWordTTSService):
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await self.start_ttfb_metrics()
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self._context_id = str(uuid.uuid4())
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msg = {
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"transcript": text + " ",
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"continue": True,
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"context_id": self._context_id,
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"model_id": self.model_name,
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"voice": {"mode": "id", "id": self._voice_id},
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"output_format": self._output_format,
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"language": self._language,
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"add_timestamps": True,
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}
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msg = self._build_msg(text=text)
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try:
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await self._get_websocket().send(json.dumps(msg))
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await self._get_websocket().send(msg)
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await self.start_tts_usage_metrics(text)
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except Exception as e:
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logger.error(f"{self} error sending message: {e}")
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@@ -261,6 +291,14 @@ class CartesiaTTSService(AsyncWordTTSService):
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class CartesiaHttpTTSService(TTSService):
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class InputParams(BaseModel):
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encoding: Optional[str] = "pcm_s16le"
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sample_rate: Optional[int] = 16000
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container: Optional[str] = "raw"
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language: Optional[str] = "en"
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speed: Optional[Union[str, float]] = ""
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emotion: Optional[List[str]] = []
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def __init__(
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self,
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*,
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@@ -268,9 +306,7 @@ class CartesiaHttpTTSService(TTSService):
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voice_id: str,
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model_id: str = "sonic-english",
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base_url: str = "https://api.cartesia.ai",
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encoding: str = "pcm_s16le",
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sample_rate: int = 16000,
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language: str = "en",
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params: InputParams = InputParams(),
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**kwargs,
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):
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super().__init__(**kwargs)
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@@ -278,12 +314,15 @@ class CartesiaHttpTTSService(TTSService):
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self._api_key = api_key
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self._voice_id = voice_id
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self._model_id = model_id
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self.set_model_name(model_id)
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self._output_format = {
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"container": "raw",
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"encoding": encoding,
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"sample_rate": sample_rate,
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"container": params.container,
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"encoding": params.encoding,
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"sample_rate": params.sample_rate,
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}
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self._language = language
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self._language = params.language
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self._speed = params.speed
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self._emotion = params.emotion
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self._client = AsyncCartesia(api_key=api_key, base_url=base_url)
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@@ -293,11 +332,20 @@ class CartesiaHttpTTSService(TTSService):
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async def set_model(self, model: str):
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logger.debug(f"Switching TTS model to: [{model}]")
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self._model_id = model
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await super().set_model(model)
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async def set_voice(self, voice: str):
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logger.debug(f"Switching TTS voice to: [{voice}]")
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self._voice_id = voice
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async def set_speed(self, speed: str):
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logger.debug(f"Switching TTS speed to: [{speed}]")
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self._speed = speed
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async def set_emotion(self, emotion: list[str]):
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logger.debug(f"Switching TTS emotion to: [{emotion}]")
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self._emotion = emotion
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async def set_language(self, language: Language):
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logger.debug(f"Switching TTS language to: [{language}]")
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self._language = language_to_cartesia_language(language)
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@@ -317,6 +365,14 @@ class CartesiaHttpTTSService(TTSService):
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await self.start_ttfb_metrics()
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try:
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voice_controls = None
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if self._speed or self._emotion:
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voice_controls = {}
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if self._speed:
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voice_controls["speed"] = self._speed
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if self._emotion:
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voice_controls["emotion"] = self._emotion
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output = await self._client.tts.sse(
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model_id=self._model_id,
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transcript=text,
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@@ -324,6 +380,7 @@ class CartesiaHttpTTSService(TTSService):
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output_format=self._output_format,
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language=self._language,
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stream=False,
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_experimental_voice_controls=voice_controls,
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)
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await self.stop_ttfb_metrics()
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