186 lines
6.8 KiB
Python
186 lines
6.8 KiB
Python
#
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# Copyright (c) 2024–2025, Daily
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#
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# SPDX-License-Identifier: BSD 2-Clause License
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#
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import os
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import time
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import statistics
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from dotenv import load_dotenv
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from loguru import logger
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from pipecat.audio.vad.silero import SileroVADAnalyzer
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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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from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
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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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from pipecat.services.deepgram.stt import DeepgramSTTService
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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.network.fastapi_websocket import FastAPIWebsocketParams
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from pipecat.transports.services.daily import DailyParams
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from pipecat.processors.frameworks.rtvi import RTVIConfig, RTVIObserver, RTVIProcessor
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from pipecat.processors.frame_processor import FrameProcessor, FrameDirection
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from pipecat.frames.frames import Frame, TTSStartedFrame, TTSStoppedFrame, TTSAudioRawFrame
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from pipecat.pipeline.parallel_pipeline import ParallelPipeline
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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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transport_params = {
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"daily": lambda: DailyParams(
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audio_in_enabled=True,
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audio_out_enabled=True,
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vad_analyzer=SileroVADAnalyzer(),
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),
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"twilio": lambda: FastAPIWebsocketParams(
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audio_in_enabled=True,
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audio_out_enabled=True,
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vad_analyzer=SileroVADAnalyzer(),
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),
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"webrtc": lambda: TransportParams(
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audio_in_enabled=True,
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audio_out_enabled=True,
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vad_analyzer=SileroVADAnalyzer(),
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),
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}
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class AudioTimingProcessor(FrameProcessor):
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def __init__(self, print_interval=False):
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super().__init__()
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self.print_interval = print_interval
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self.tts_started_time = None
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self.tts_stopped_time = None
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self.tts_last_frame_time = None
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self.tts_audio_frame_intervals = []
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self.tts_audio_frame_count = 0
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self.dummy_sum_of_intervals = 0
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async def process_frame(self, frame: Frame, direction: FrameDirection):
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await super().process_frame(frame, direction)
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if isinstance(frame, TTSStartedFrame):
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self.tts_started_time = time.time()
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elif isinstance(frame, TTSAudioRawFrame):
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self.tts_audio_frame_count += 1
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if self.tts_last_frame_time is not None:
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self.tts_audio_frame_intervals.append(time.time() - self.tts_last_frame_time)
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# tiny but pointless amount of computation
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self.dummy_sum_of_intervals += time.time() - self.tts_audio_frame_intervals[-1] + sum(i * i for i in range(10000))
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self.tts_last_frame_time = time.time()
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elif isinstance(frame, TTSStoppedFrame):
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self.print_intervals()
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self.tts_stopped_time = time.time()
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self.tts_audio_frame_count = 0
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self.tts_audio_frame_intervals = []
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await self.push_frame(frame, direction)
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def print_intervals(self):
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if not self.print_interval:
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return
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# print max, min, median, audio frame count.
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if self.tts_audio_frame_intervals:
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logger.info(f"TTS audio frame intervals: max={max(self.tts_audio_frame_intervals):.2f}, min={min(self.tts_audio_frame_intervals):.2f}, median={statistics.median(self.tts_audio_frame_intervals):.2f}, audio frame count={self.tts_audio_frame_count}")
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else:
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logger.info(f"TTS audio frame intervals: no data available, audio frame count={self.tts_audio_frame_count}")
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async def run_bot(transport: BaseTransport):
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logger.info(f"Starting bot")
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stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
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tts = CartesiaTTSService(
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api_key=os.getenv("CARTESIA_API_KEY"),
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voice_id="71a7ad14-091c-4e8e-a314-022ece01c121", # British Reading Lady
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)
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llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
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rtvi = RTVIProcessor(config=RTVIConfig(config=[]))
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# Create a bunch of the above simple processors to test audio frame delay glitching.
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# On my machine, 200 processors causes a big problem. 100 shows just occasional very small glitches.
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# Commit 061f2086b278f8df11cef73a6170d8413ef6334a is worse than current main (which makes sense).
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NUM_PROCESSORS_IN_PARALLEL_PIPELINE = 200
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silent_timing_processors = [AudioTimingProcessor() for _ in range(NUM_PROCESSORS_IN_PARALLEL_PIPELINE-1)]
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extra_processors = ParallelPipeline(
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[AudioTimingProcessor(print_interval=True)],
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[*silent_timing_processors, AudioTimingProcessor(print_interval=True)]
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)
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messages = [
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{
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"role": "system",
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"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.",
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},
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]
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context = OpenAILLMContext(messages)
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context_aggregator = llm.create_context_aggregator(context)
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pipeline = Pipeline(
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[
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transport.input(), # Transport user input
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rtvi, # RTVI processor
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stt,
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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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extra_processors,
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transport.output(), # Transport bot output
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context_aggregator.assistant(), # Assistant spoken responses
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]
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)
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task = PipelineTask(
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pipeline,
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params=PipelineParams(
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enable_metrics=True,
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enable_usage_metrics=True,
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),
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observers=[RTVIObserver(rtvi)],
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)
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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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logger.info(f"Client connected")
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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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await task.queue_frames([context_aggregator.user().get_context_frame()])
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@transport.event_handler("on_client_disconnected")
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async def on_client_disconnected(transport, client):
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logger.info(f"Client disconnected")
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await task.cancel()
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runner = PipelineRunner(handle_sigint=False)
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await runner.run(task)
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async def bot(runner_args: RunnerArguments):
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"""Main bot entry point compatible with Pipecat Cloud."""
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transport = await create_transport(runner_args, transport_params)
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await run_bot(transport)
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if __name__ == "__main__":
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from pipecat.runner.run import main
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main()
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