Merge pull request #1815 from pipecat-ai/aleix/remove-silerovad-processor

remove SileroVAD() frame processor

CHANGELOG.md

@@ -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

examples/foundational/07a-interruptible-vad.py

@@ -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()

src/pipecat/processors/audio/vad/silero.py

@@ -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