Merge pull request #1447 from nicougou/feat/support_tts_instruct

feature/support instructions in OpenAITTSService
This commit is contained in:
Mark Backman
2025-03-26 13:35:41 -04:00
committed by GitHub
2 changed files with 16 additions and 3 deletions

View File

@@ -21,6 +21,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
- ElevenLabs TTS services now support a sample rate of 8000.
- Added support for `instructions` in `OpenAITTSService`
- Added support for `base_url` in `OpenAIImageGenService` and `OpenAITTSService`
### Fixed
- Fixed an issue in Daily involving switching virtual devices, by bumping the

View File

@@ -391,6 +391,7 @@ class OpenAIImageGenService(ImageGenService):
self,
*,
api_key: str,
base_url: Optional[str] = None,
aiohttp_session: aiohttp.ClientSession,
image_size: Literal["256x256", "512x512", "1024x1024", "1792x1024", "1024x1792"],
model: str = "dall-e-3",
@@ -398,7 +399,7 @@ class OpenAIImageGenService(ImageGenService):
super().__init__()
self.set_model_name(model)
self._image_size = image_size
self._client = AsyncOpenAI(api_key=api_key)
self._client = AsyncOpenAI(api_key=api_key, base_url=base_url)
self._aiohttp_session = aiohttp_session
async def run_image_gen(self, prompt: str) -> AsyncGenerator[Frame, None]:
@@ -501,9 +502,11 @@ class OpenAITTSService(TTSService):
self,
*,
api_key: Optional[str] = None,
base_url: Optional[str] = None,
voice: str = "alloy",
model: str = "gpt-4o-mini-tts",
sample_rate: Optional[int] = None,
instructions: Optional[str] = None,
**kwargs,
):
if sample_rate and sample_rate != self.OPENAI_SAMPLE_RATE:
@@ -515,8 +518,8 @@ class OpenAITTSService(TTSService):
self.set_model_name(model)
self.set_voice(voice)
self._client = AsyncOpenAI(api_key=api_key)
self._instructions = instructions
self._client = AsyncOpenAI(api_key=api_key, base_url=base_url)
def can_generate_metrics(self) -> bool:
return True
@@ -538,11 +541,17 @@ class OpenAITTSService(TTSService):
try:
await self.start_ttfb_metrics()
# Setup extra body parameters
extra_body = {}
if self._instructions:
extra_body["instructions"] = self._instructions
async with self._client.audio.speech.with_streaming_response.create(
input=text or " ", # Text must contain at least one character
model=self.model_name,
voice=VALID_VOICES[self._voice_id],
response_format="pcm",
extra_body=extra_body,
) as r:
if r.status_code != 200:
error = await r.text()