examples: update with LLMUserAggregatorParams vad_analyzer and VADProcessor

examples/foundational/26-gemini-live.py

@@ -15,6 +15,7 @@ from pipecat.frames.frames import LLMMessagesAppendFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
+from pipecat.processors.audio.vad_processor import VADProcessor
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
 from pipecat.services.google.gemini_live.llm import GeminiLiveLLMService
@@ -26,30 +27,26 @@ from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
 load_dotenv(override=True)
 
 
-# We store functions so objects (e.g. SileroVADAnalyzer) don't get
-# instantiated. The function will be called when the desired transport gets
-# selected.
+# We use lambdas to defer transport parameter creation until the transport
+# type is selected at runtime.
 transport_params = {
     "daily": lambda: DailyParams(
         audio_in_enabled=True,
         audio_out_enabled=True,
         # set stop_secs to something roughly similar to the internal setting
         # of the Multimodal Live api, just to align events.
-        vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.5)),
     ),
     "twilio": lambda: FastAPIWebsocketParams(
         audio_in_enabled=True,
         audio_out_enabled=True,
         # set stop_secs to something roughly similar to the internal setting
         # of the Multimodal Live api, just to align events.
-        vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.5)),
     ),
     "webrtc": lambda: TransportParams(
         audio_in_enabled=True,
         audio_out_enabled=True,
         # set stop_secs to something roughly similar to the internal setting
         # of the Multimodal Live api, just to align events.
-        vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.5)),
     ),
 }
 
@@ -71,10 +68,13 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         voice_id="Puck",  # Aoede, Charon, Fenrir, Kore, Puck
     )
 
+    vad_processor = VADProcessor(vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.5)))
+
     # Build the pipeline
     pipeline = Pipeline(
         [
             transport.input(),
+            vad_processor,
             llm,
             transport.output(),
         ]