Update examples to use transcription events from context aggregators
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@@ -13,6 +13,7 @@ from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnal
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from pipecat.audio.vad.silero import SileroVADAnalyzer
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from pipecat.audio.vad.vad_analyzer import VADParams
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from pipecat.frames.frames import LLMRunFrame
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from pipecat.observers.loggers.transcription_log_observer import TranscriptionLogObserver
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from pipecat.pipeline.pipeline import Pipeline
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from pipecat.pipeline.runner import PipelineRunner
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from pipecat.pipeline.task import PipelineParams, PipelineTask
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@@ -21,7 +22,6 @@ from pipecat.processors.aggregators.llm_response_universal import (
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LLMContextAggregatorPair,
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LLMUserAggregatorParams,
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)
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from pipecat.processors.transcript_processor import TranscriptProcessor
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from pipecat.runner.types import RunnerArguments
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from pipecat.runner.utils import create_transport
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from pipecat.services.cartesia.tts import CartesiaTTSService
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@@ -36,6 +36,7 @@ from pipecat.turns.user_turn_strategies import UserTurnStrategies
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load_dotenv(override=True)
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# We store functions so objects (e.g. SileroVADAnalyzer) don't get
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# instantiated. The function will be called when the desired transport gets
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# selected.
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@@ -70,8 +71,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
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transcript = TranscriptProcessor()
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messages = [
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{
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"role": "system",
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@@ -94,7 +93,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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[
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transport.input(), # Transport user input
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stt,
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transcript.user(), # User transcripts
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context_aggregator.user(), # User responses
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llm, # LLM
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tts, # TTS
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@@ -110,6 +108,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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enable_usage_metrics=True,
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),
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idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
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observers=[TranscriptionLogObserver()],
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)
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@transport.event_handler("on_client_connected")
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@@ -124,12 +123,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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logger.info(f"Client disconnected")
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await task.cancel()
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# Register event handler for transcript updates
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@transcript.event_handler("on_transcript_update")
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async def on_transcript_update(processor, frame):
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for message in frame.messages:
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logger.info(f"Transcription [{message.role}]: {message.content}")
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runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
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await runner.run(task)
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