Merge pull request #1253 from pipecat-ai/aleix/http-tts-services-stopped-frame

HTTP TTS services stopped frame
This commit is contained in:
Aleix Conchillo Flaqué
2025-02-20 17:28:05 -08:00
committed by GitHub
5 changed files with 45 additions and 37 deletions

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@@ -17,6 +17,11 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
### Changed
- `RimeHttpTTSService` needs an `aiohttp.ClientSession` to be passed to the
constructor as all the other HTTP-based services.
- `RimeHttpTTSService` doesn't use a default voice anymore.
- `DeepgramSTTService` now uses the new `nova-3` model by default. If you want
to use the previous model you can pass `LiveOptions(model="nova-2-general")`.
(see https://deepgram.com/learn/introducing-nova-3-speech-to-text-api)
@@ -27,6 +32,9 @@ stt = DeepgramSTTService(..., live_options=LiveOptions(model="nova-2-general"))
### Fixed
- Fixed an issue that was causing HTTP TTS services to push `TTSStoppedFrame`
more than once.
- Fixed a `FishAudioTTSService` issue where `TTSStoppedFrame` was not being
pushed.

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@@ -364,9 +364,6 @@ class CartesiaHttpTTSService(TTSService):
async def run_tts(self, text: str) -> AsyncGenerator[Frame, None]:
logger.debug(f"Generating TTS: [{text}]")
await self.start_ttfb_metrics()
yield TTSStartedFrame()
try:
voice_controls = None
if self._settings["speed"] or self._settings["emotion"]:
@@ -376,6 +373,8 @@ class CartesiaHttpTTSService(TTSService):
if self._settings["emotion"]:
voice_controls["emotion"] = self._settings["emotion"]
await self.start_ttfb_metrics()
output = await self._client.tts.sse(
model_id=self._model_name,
transcript=text,
@@ -386,14 +385,17 @@ class CartesiaHttpTTSService(TTSService):
_experimental_voice_controls=voice_controls,
)
await self.start_tts_usage_metrics(text)
yield TTSStartedFrame()
frame = TTSAudioRawFrame(
audio=output["audio"], sample_rate=self.sample_rate, num_channels=1
)
yield frame
except Exception as e:
logger.error(f"{self} exception: {e}")
await self.start_tts_usage_metrics(text)
await self.stop_ttfb_metrics()
yield TTSStoppedFrame()
finally:
await self.stop_ttfb_metrics()
yield TTSStoppedFrame()

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@@ -566,18 +566,16 @@ class ElevenLabsHttpTTSService(TTSService):
return
await self.start_tts_usage_metrics(text)
yield TTSStartedFrame()
async for chunk in response.content:
if chunk:
await self.stop_ttfb_metrics()
yield TTSAudioRawFrame(chunk, self.sample_rate, 1)
yield TTSStoppedFrame()
except Exception as e:
logger.error(f"Error in run_tts: {e}")
yield ErrorFrame(error=str(e))
finally:
await self.stop_ttfb_metrics()
yield TTSStoppedFrame()

View File

@@ -397,6 +397,7 @@ class PlayHTHttpTTSService(TTSService):
await self.start_tts_usage_metrics(text)
yield TTSStartedFrame()
async for chunk in playht_gen:
# skip the RIFF header.
if in_header:
@@ -416,6 +417,8 @@ class PlayHTHttpTTSService(TTSService):
await self.stop_ttfb_metrics()
frame = TTSAudioRawFrame(chunk, self.sample_rate, 1)
yield frame
yield TTSStoppedFrame()
except Exception as e:
logger.error(f"{self} error generating TTS: {e}")
finally:
await self.stop_ttfb_metrics()
yield TTSStoppedFrame()

View File

@@ -345,7 +345,8 @@ class RimeHttpTTSService(TTSService):
self,
*,
api_key: str,
voice_id: str = "eva",
voice_id: str,
aiohttp_session: aiohttp.ClientSession,
model: str = "mistv2",
sample_rate: Optional[int] = None,
params: InputParams = InputParams(),
@@ -354,6 +355,7 @@ class RimeHttpTTSService(TTSService):
super().__init__(sample_rate=sample_rate, **kwargs)
self._api_key = api_key
self._session = aiohttp_session
self._base_url = "https://users.rime.ai/v1/rime-tts"
self._settings = {
"speedAlpha": params.speed_alpha,
@@ -387,36 +389,31 @@ class RimeHttpTTSService(TTSService):
try:
await self.start_ttfb_metrics()
await self.start_tts_usage_metrics(text)
yield TTSStartedFrame()
async with self._session.post(
self._base_url, json=payload, headers=headers
) as response:
if response.status != 200:
error_message = f"Rime TTS error: HTTP {response.status}"
logger.error(error_message)
yield ErrorFrame(error=error_message)
return
async with aiohttp.ClientSession() as session:
async with session.post(self._base_url, json=payload, headers=headers) as response:
if response.status != 200:
error_message = f"Rime TTS error: HTTP {response.status}"
logger.error(error_message)
yield ErrorFrame(error=error_message)
return
await self.start_tts_usage_metrics(text)
# Process the streaming response
chunk_size = 8192
first_chunk = True
yield TTSStartedFrame()
async for chunk in response.content.iter_chunked(chunk_size):
if first_chunk:
await self.stop_ttfb_metrics()
first_chunk = False
if chunk:
frame = TTSAudioRawFrame(chunk, self.sample_rate, 1)
yield frame
yield TTSStoppedFrame()
# Process the streaming response
chunk_size = 8192
async for chunk in response.content.iter_chunked(chunk_size):
if chunk:
await self.stop_ttfb_metrics()
frame = TTSAudioRawFrame(chunk, self.sample_rate, 1)
yield frame
except Exception as e:
logger.exception(f"Error generating TTS: {e}")
yield ErrorFrame(error=f"Rime TTS error: {str(e)}")
finally:
await self.stop_ttfb_metrics()
yield TTSStoppedFrame()