add timestamps to example
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@@ -13,13 +13,17 @@ from pipecat.audio.turn.smart_turn.base_smart_turn import SmartTurnParams
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from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
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from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
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from pipecat.audio.vad.silero import SileroVADAnalyzer
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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.audio.vad.vad_analyzer import VADParams
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from pipecat.frames.frames import LLMRunFrame
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from pipecat.frames.frames import Frame, LLMRunFrame, TTSTextFrame
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from pipecat.pipeline.pipeline import Pipeline
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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.runner import PipelineRunner
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from pipecat.pipeline.task import PipelineParams, PipelineTask
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from pipecat.pipeline.task import PipelineParams, PipelineTask
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from pipecat.processors.aggregators.llm_context import LLMContext
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from pipecat.processors.aggregators.llm_context import LLMContext
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from pipecat.processors.aggregators.llm_response_universal import LLMContextAggregatorPair
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from pipecat.processors.aggregators.llm_response_universal import (
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LLMContextAggregatorPair,
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)
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from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
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from pipecat.processors.frameworks.rtvi import RTVIConfig, RTVIObserver, RTVIProcessor
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from pipecat.processors.frameworks.rtvi import RTVIConfig, RTVIObserver, RTVIProcessor
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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.types import RunnerArguments
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from pipecat.runner.utils import create_transport
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from pipecat.runner.utils import create_transport
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from pipecat.services.deepgram.stt import DeepgramSTTService
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from pipecat.services.deepgram.stt import DeepgramSTTService
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@@ -28,9 +32,25 @@ from pipecat.services.openai.llm import OpenAILLMService
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from pipecat.transports.base_transport import BaseTransport, TransportParams
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from pipecat.transports.base_transport import BaseTransport, TransportParams
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from pipecat.transports.daily.transport import DailyParams
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from pipecat.transports.daily.transport import DailyParams
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from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
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from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
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from pipecat.frames.frames import format_pts
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load_dotenv(override=True)
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load_dotenv(override=True)
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class TimestampLogger(FrameProcessor):
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"""Frame processor that logs TTSTextFrame objects with their timestamps.
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This helps verify that word timestamps are working correctly by showing
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when each word is spoken with its presentation timestamp (PTS).
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"""
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async def process_frame(self, frame: Frame, direction: FrameDirection):
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if isinstance(frame, TTSTextFrame):
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pts_str = format_pts(frame.pts) if frame.pts else "no PTS"
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logger.info(f"🎯 Word timestamp: '{frame.text}' at {pts_str}")
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await self.push_frame(frame, direction)
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# We store functions so objects (e.g. SileroVADAnalyzer) don't get
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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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# instantiated. The function will be called when the desired transport gets
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# selected.
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# selected.
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@@ -81,15 +101,24 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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rtvi = RTVIProcessor(config=RTVIConfig(config=[]))
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rtvi = RTVIProcessor(config=RTVIConfig(config=[]))
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# Add transcript processor to show timestamps in conversation history
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transcript = TranscriptProcessor()
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# Add timestamp logger to verify word timestamps are being generated
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timestamp_logger = TimestampLogger()
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pipeline = Pipeline(
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pipeline = Pipeline(
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[
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[
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transport.input(), # Transport user input
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transport.input(), # Transport user input
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rtvi,
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rtvi,
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stt,
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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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context_aggregator.user(), # User responses
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llm, # LLM
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llm, # LLM
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tts, # TTS
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tts, # TTS (HumeTTSService with word timestamps)
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timestamp_logger, # Log word timestamps for verification
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transport.output(), # Transport bot output
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transport.output(), # Transport bot output
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transcript.assistant(), # Assistant transcripts with timestamps
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context_aggregator.assistant(), # Assistant spoken responses
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context_aggregator.assistant(), # Assistant spoken responses
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]
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]
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)
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)
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@@ -109,11 +138,23 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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async def on_client_ready(rtvi):
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async def on_client_ready(rtvi):
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await rtvi.set_bot_ready()
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await rtvi.set_bot_ready()
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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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"""Log transcript updates to show timestamps in conversation."""
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for msg in frame.messages:
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timestamp_str = f"[{msg.timestamp}] " if msg.timestamp else ""
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logger.info(f"📝 Transcript: {timestamp_str}{msg.role}: {msg.content}")
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@transport.event_handler("on_client_connected")
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@transport.event_handler("on_client_connected")
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async def on_client_connected(transport, client):
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async def on_client_connected(transport, client):
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logger.info(f"Client connected")
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logger.info(f"Client connected")
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logger.info(
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"💡 Word timestamps are enabled! Watch for '🎯 Word timestamp' logs showing each word with its PTS."
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)
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# Kick off the conversation.
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# Kick off the conversation.
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messages.append({"role": "system", "content": "Please introduce yourself to the user."})
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messages.append(
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{"role": "system", "content": "Please introduce yourself to the user."}
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)
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await task.queue_frames([LLMRunFrame()])
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await task.queue_frames([LLMRunFrame()])
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@transport.event_handler("on_client_disconnected")
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@transport.event_handler("on_client_disconnected")
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