Merge pull request #2217 from simliai/main

feat: Add Simli Trinity models support to pipecat
This commit is contained in:
Mark Backman
2025-08-05 09:01:20 -07:00
committed by GitHub
3 changed files with 60 additions and 20 deletions

View File

@@ -267,6 +267,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
pushed by the `BaseInputTransport` at Start and any time a
`VADParamsUpdateFrame` is received.
- Added support for Simli Trinity Avatars. A new `is_trinity_avatar` parameter
has been introduced to specify whether the provided `faceId` corresponds to a
Trinity avatar, which is required for optimal Trinity avatar performance.
### Changed
- Two package dependencies have been updated:

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@@ -63,7 +63,7 @@ async def run_bot(transport: BaseTransport):
)
simli_ai = SimliVideoService(
SimliConfig(os.getenv("SIMLI_API_KEY"), os.getenv("SIMLI_FACE_ID"))
SimliConfig(os.getenv("SIMLI_API_KEY"), os.getenv("SIMLI_FACE_ID")),
)
llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o-mini")

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@@ -18,6 +18,8 @@ from pipecat.frames.frames import (
OutputImageRawFrame,
StartInterruptionFrame,
TTSAudioRawFrame,
TTSStoppedFrame,
UserStartedSpeakingFrame,
)
from pipecat.processors.frame_processor import FrameDirection, FrameProcessor, StartFrame
from pipecat.utils.asyncio.watchdog_async_iterator import WatchdogAsyncIterator
@@ -45,24 +47,39 @@ class SimliVideoService(FrameProcessor):
simli_config: SimliConfig,
use_turn_server: bool = False,
latency_interval: int = 0,
simli_url: str = "https://api.simli.ai",
is_trinity_avatar: bool = False,
):
"""Initialize the Simli video service.
Args:
simli_config: Configuration object for Simli client settings.
use_turn_server: Whether to use TURN server for connection. Defaults to False.
latency_interval: Latency interval setting for video processing. Defaults to 0.
latency_interval: Latency interval setting for sending health checks to check the latency to Simli Servers. Defaults to 0.
simli_url: URL of the simli servers. Can be changed for custom deployments of enterprise users.
is_trinity_avatar: boolean to tell simli client that this is a Trinity avatar which reduces latency when using Trinity.
"""
super().__init__()
self._simli_client = SimliClient(simli_config, use_turn_server, latency_interval)
self._initialized = False
simli_config.maxIdleTime += 5
simli_config.maxSessionLength += 5
self._simli_client = SimliClient(
simli_config,
use_turn_server,
latency_interval,
simliURL=simli_url,
)
self._pipecat_resampler_event = asyncio.Event()
self._pipecat_resampler: AudioResampler = None
self._pipecat_resampler_event = asyncio.Event()
self._simli_resampler = AudioResampler("s16", "mono", 16000)
self._initialized = False
self._audio_task: asyncio.Task = None
self._video_task: asyncio.Task = None
self._is_trinity_avatar = is_trinity_avatar
self._previously_interrupted = is_trinity_avatar
self._audio_buffer = bytearray()
async def _start_connection(self):
"""Start the connection to Simli service and begin processing tasks."""
@@ -71,11 +88,9 @@ class SimliVideoService(FrameProcessor):
self._initialized = True
# Create task to consume and process audio and video
if not self._audio_task:
self._audio_task = self.create_task(self._consume_and_process_audio())
if not self._video_task:
self._video_task = self.create_task(self._consume_and_process_video())
await self._simli_client.sendSilence()
self._audio_task = self.create_task(self._consume_and_process_audio())
self._video_task = self.create_task(self._consume_and_process_video())
async def _consume_and_process_audio(self):
"""Consume audio frames from Simli and push them downstream."""
@@ -118,7 +133,6 @@ class SimliVideoService(FrameProcessor):
"""
await super().process_frame(frame, direction)
if isinstance(frame, StartFrame):
await self.push_frame(frame, direction)
await self._start_connection()
elif isinstance(frame, TTSAudioRawFrame):
# Send audio frame to Simli
@@ -137,19 +151,41 @@ class SimliVideoService(FrameProcessor):
resampled_frames = self._simli_resampler.resample(old_frame)
for resampled_frame in resampled_frames:
await self._simli_client.send(
resampled_frame.to_ndarray().astype(np.int16).tobytes()
)
audioBytes = resampled_frame.to_ndarray().astype(np.int16).tobytes()
if self._previously_interrupted:
self._audio_buffer.extend(audioBytes)
if len(self._audio_buffer) >= 128000:
try:
for flushFrame in self._simli_resampler.resample(None):
self._audio_buffer.extend(
flushFrame.to_ndarray().astype(np.int16).tobytes()
)
finally:
await self._simli_client.playImmediate(self._audio_buffer)
self._previously_interrupted = False
self._audio_buffer = bytearray()
else:
await self._simli_client.send(audioBytes)
return
except Exception as e:
logger.exception(f"{self} exception: {e}")
elif isinstance(frame, TTSStoppedFrame):
try:
if self._previously_interrupted and len(self._audio_buffer) > 0:
await self._simli_client.playImmediate(self._audio_buffer)
self._previously_interrupted = False
self._audio_buffer = bytearray()
except Exception as e:
logger.exception(f"{self} exception: {e}")
return
elif isinstance(frame, (EndFrame, CancelFrame)):
await self._stop()
await self.push_frame(frame, direction)
elif isinstance(frame, StartInterruptionFrame):
await self._simli_client.clearBuffer()
await self.push_frame(frame, direction)
else:
await self.push_frame(frame, direction)
elif isinstance(frame, (StartInterruptionFrame, UserStartedSpeakingFrame)):
if not self._previously_interrupted:
await self._simli_client.clearBuffer()
self._previously_interrupted = self._is_trinity_avatar
await self.push_frame(frame, direction)
async def _stop(self):
"""Stop the Simli client and cancel processing tasks."""