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remove SileroVAD() frame processor

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This commit is contained in:
Aleix Conchillo Flaqué
2025-05-15 11:43:35 -07:00
parent a51af35024
commit 95c25efab7
4 changed files with 5 additions and 204 deletions
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5
CHANGELOG.md
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@@ -53,6 +53,11 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
- `GoogleLLMService` has been updated to use `google-genai` instead of the
deprecated `google-generativeai`.
### Removed
- Removed `SileroVAD` frame processor, just use `SileroVADAnalyzer`
instead. Also removed, `07a-interruptible-vad.py` example.
### Other
- Added an `open-telemetry-tracing` example, showing how to setup tracing. The

107
examples/foundational/07a-interruptible-vad.py
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@@ -1,107 +0,0 @@
#
# Copyright (c) 2024–2025, Daily
#
# SPDX-License-Identifier: BSD 2-Clause License
#
import argparse
import os
from dotenv import load_dotenv
from loguru import logger
from pipecat.pipeline.pipeline import Pipeline
from pipecat.pipeline.runner import PipelineRunner
from pipecat.pipeline.task import PipelineParams, PipelineTask
from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
from pipecat.processors.audio.vad.silero import SileroVAD
from pipecat.services.cartesia.tts import CartesiaTTSService
from pipecat.services.deepgram.stt import DeepgramSTTService
from pipecat.services.openai.llm import OpenAILLMService
from pipecat.transports.base_transport import TransportParams
from pipecat.transports.network.small_webrtc import SmallWebRTCTransport
from pipecat.transports.network.webrtc_connection import SmallWebRTCConnection
load_dotenv(override=True)
async def run_bot(webrtc_connection: SmallWebRTCConnection, _: argparse.Namespace):
logger.info(f"Starting bot")
transport = SmallWebRTCTransport(
webrtc_connection=webrtc_connection,
params=TransportParams(
audio_in_enabled=True,
audio_out_enabled=True,
),
)
stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
vad = SileroVAD()
tts = CartesiaTTSService(
api_key=os.getenv("CARTESIA_API_KEY"),
voice_id="71a7ad14-091c-4e8e-a314-022ece01c121", # British Reading Lady
)
llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
messages = [
{
"role": "system",
"content": "You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be converted to audio so don't include special characters in your answers. Respond to what the user said in a creative and helpful way.",
},
]
context = OpenAILLMContext(messages)
context_aggregator = llm.create_context_aggregator(context)
pipeline = Pipeline(
[
transport.input(),
stt,
vad,
context_aggregator.user(),
llm,
tts,
transport.output(),
context_aggregator.assistant(),
]
)
task = PipelineTask(
pipeline,
params=PipelineParams(
allow_interruptions=True,
enable_metrics=True,
enable_usage_metrics=True,
report_only_initial_ttfb=True,
),
)
@transport.event_handler("on_client_connected")
async def on_client_connected(transport, client):
logger.info(f"Client connected")
# Kick off the conversation.
messages.append({"role": "system", "content": "Please introduce yourself to the user."})
await task.queue_frames([context_aggregator.user().get_context_frame()])
@transport.event_handler("on_client_disconnected")
async def on_client_disconnected(transport, client):
logger.info(f"Client disconnected")
@transport.event_handler("on_client_closed")
async def on_client_closed(transport, client):
logger.info(f"Client closed connection")
await task.cancel()
runner = PipelineRunner(handle_sigint=False)
await runner.run(task)
if __name__ == "__main__":
from run import main
main()

0
src/pipecat/processors/audio/vad/__init__.py
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97
src/pipecat/processors/audio/vad/silero.py
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@@ -1,97 +0,0 @@
#
# Copyright (c) 2024–2025, Daily
#
# SPDX-License-Identifier: BSD 2-Clause License
#
from typing import Optional
from loguru import logger
from pipecat.audio.vad.silero import SileroVADAnalyzer
from pipecat.audio.vad.vad_analyzer import VADParams, VADState
from pipecat.frames.frames import (
AudioRawFrame,
Frame,
StartFrame,
StartInterruptionFrame,
StopInterruptionFrame,
UserStartedSpeakingFrame,
UserStoppedSpeakingFrame,
)
from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
class SileroVAD(FrameProcessor):
def __init__(
self,
*,
sample_rate: Optional[int] = None,
vad_params: VADParams = VADParams(),
audio_passthrough: bool = False,
):
super().__init__()
self._vad_analyzer = SileroVADAnalyzer(sample_rate=sample_rate, params=vad_params)
self._audio_passthrough = audio_passthrough
self._processor_vad_state: VADState = VADState.QUIET
#
# FrameProcessor
#
async def process_frame(self, frame: Frame, direction: FrameDirection):
await super().process_frame(frame, direction)
if isinstance(frame, StartFrame):
self._vad_analyzer.set_sample_rate(frame.audio_in_sample_rate)
if isinstance(frame, AudioRawFrame):
await self._analyze_audio(frame)
if self._audio_passthrough:
await self.push_frame(frame, direction)
else:
await self.push_frame(frame, direction)
#
# Handle interruptions
#
async def _handle_interruptions(self, frame: Frame):
if self.interruptions_allowed:
# Make sure we notify about interruptions quickly out-of-band.
if isinstance(frame, UserStartedSpeakingFrame):
logger.debug("User started speaking")
await self._start_interruption()
# Push an out-of-band frame (i.e. not using the ordered push
# frame task) to stop everything, specially at the output
# transport.
await self.push_frame(StartInterruptionFrame())
elif isinstance(frame, UserStoppedSpeakingFrame):
logger.debug("User stopped speaking")
await self._stop_interruption()
await self.push_frame(StopInterruptionFrame())
await self.push_frame(frame)
async def _analyze_audio(self, frame: AudioRawFrame):
# Check VAD and push event if necessary. We just care about changes
# from QUIET to SPEAKING and vice versa.
new_vad_state = self._vad_analyzer.analyze_audio(frame.audio)
if (
new_vad_state != self._processor_vad_state
and new_vad_state != VADState.STARTING
and new_vad_state != VADState.STOPPING
):
new_frame = None
if new_vad_state == VADState.SPEAKING:
new_frame = UserStartedSpeakingFrame()
elif new_vad_state == VADState.QUIET:
new_frame = UserStoppedSpeakingFrame()
if new_frame:
await self._handle_interruptions(new_frame)
self._processor_vad_state = new_vad_state