157 lines
4.8 KiB
Python
157 lines
4.8 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 asyncio
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import math
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import os
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import random
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import sys
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import aiohttp
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from dotenv import load_dotenv
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from loguru import logger
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from runner import configure
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from pipecat.frames.frames import BotSpeakingFrame, EndFrame, Frame, TextFrame, TTSSpeakFrame
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from pipecat.observers.base_observer import BaseObserver
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from pipecat.pipeline.parallel_pipeline import ParallelPipeline
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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.filters.function_filter import FunctionFilter
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from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
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from pipecat.services.cartesia import CartesiaTTSService
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from pipecat.transports.services.daily import DailyOutputTransport, DailyParams, DailyTransport
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load_dotenv(override=True)
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logger.remove(0)
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logger.add(sys.stderr, level="DEBUG")
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class DebugObserver(BaseObserver):
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"""Observer to log interruptions and bot speaking events to the console.
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Logs all frame instances of:
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- StartInterruptionFrame
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- BotStartedSpeakingFrame
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- BotStoppedSpeakingFrame
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This allows you to see the frame flow from processor to processor through the pipeline for these frames.
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Log format: [EVENT TYPE]: [source processor] → [destination processor] at [timestamp]s
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"""
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async def on_push_frame(
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self,
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src: FrameProcessor,
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dst: FrameProcessor,
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frame: Frame,
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direction: FrameDirection,
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timestamp: int,
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):
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arrow = "→" if direction == FrameDirection.DOWNSTREAM else "←"
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# Convert timestamp to seconds for readability
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time_sec = timestamp / 1_000_000_000
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if isinstance(frame, BotSpeakingFrame):
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return
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if isinstance(dst, DailyOutputTransport):
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logger.debug(f"{frame} {src} {arrow} {dst} at {time_sec:.2f}s")
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async def main():
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async with aiohttp.ClientSession() as session:
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(room_url, _) = await configure(session)
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transport1 = DailyTransport(
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"https://hush.daily.co/sip",
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None,
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"Don't Do Anything",
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DailyParams(audio_out_enabled=True),
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)
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transport2 = DailyTransport(
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"https://hush.daily.co/demo",
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None,
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"Summarize Call",
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DailyParams(audio_out_enabled=True),
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)
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tts = CartesiaTTSService(
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api_key=os.getenv("CARTESIA_API_KEY"),
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voice_id="79a125e8-cd45-4c13-8a67-188112f4dd22", # British Lady
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)
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runner = PipelineRunner()
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async def true_filter(frame) -> bool:
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return True
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async def false_filter(frame) -> bool:
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return False
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pipeline = Pipeline(
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[
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transport1.input(),
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transport2.input(),
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ParallelPipeline(
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[transport1.output()],
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[tts, transport2.output()],
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),
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]
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)
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task = PipelineTask(
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pipeline,
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PipelineParams(
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allow_interruptions=True,
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enable_metrics=True,
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enable_usage_metrics=True,
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report_only_initial_ttfb=True,
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observers=[DebugObserver()],
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),
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)
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# Register an event handler so we can play the audio when the
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# participant joins.
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@transport1.event_handler("on_first_participant_joined")
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async def on_first_participant_joined(transport, participant):
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participant_name = participant.get("info", {}).get("userName", "")
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logger.info(f"-- {participant_name} joined transport1")
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def get_call_summary():
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"""In a real app this would be a call to a database or API."""
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# Randomly choose between two options
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message = random.choice(
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[
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"Alice needs help finding her customer record.",
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"Bob is calling about his lost password.",
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]
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)
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return message
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@transport2.event_handler("on_first_participant_joined")
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async def on_first_participant_joined(transport, participant):
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participant_name = participant.get("info", {}).get("userName", "")
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logger.info(f"-- {participant_name} joined transport2")
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call_summary = get_call_summary()
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await task.queue_frames(
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[
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TTSSpeakFrame(
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f"Hi {participant_name}! Here's the summary of the call: {call_summary}"
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),
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EndFrame(),
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]
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)
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await runner.run(task)
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if __name__ == "__main__":
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asyncio.run(main())
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