Update pipecat-cloud-example to use Krisp in PCC deployment only
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@@ -4,6 +4,7 @@
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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 os
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import aiohttp
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@@ -21,44 +22,23 @@ from pipecat.services.cartesia.tts import CartesiaTTSService
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from pipecat.services.openai.llm import OpenAILLMService
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from pipecat.transports.services.daily import DailyParams, DailyTransport
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# Check if we're in local development mode
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LOCAL_RUN = os.getenv("LOCAL_RUN")
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if LOCAL_RUN:
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import asyncio
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import webbrowser
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try:
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from local_runner import configure
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except ImportError:
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logger.error("Could not import local_runner module. Local development mode may not work.")
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# Load environment variables
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load_dotenv(override=True)
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# Check if we're in local development mode
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LOCAL_RUN = os.getenv("LOCAL_RUN")
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async def main(room_url: str, token: str):
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async def main(transport: DailyTransport):
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"""Main pipeline setup and execution function.
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Args:
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room_url: The Daily room URL
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token: The Daily room token
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transport: The DailyTransport object for the bot
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"""
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logger.debug("Starting bot in room: {}", room_url)
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transport = DailyTransport(
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room_url,
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token,
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"bot",
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DailyParams(
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audio_in_enabled=True,
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audio_out_enabled=True,
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transcription_enabled=True,
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vad_analyzer=SileroVADAnalyzer(),
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),
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)
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logger.debug("Starting bot")
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tts = CartesiaTTSService(
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api_key=os.getenv("CARTESIA_API_KEY"), voice_id="79a125e8-cd45-4c13-8a67-188112f4dd22"
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api_key=os.getenv("CARTESIA_API_KEY"), voice_id="71a7ad14-091c-4e8e-a314-022ece01c121"
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)
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llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
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@@ -126,10 +106,25 @@ async def bot(args: DailySessionArguments):
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body: The configuration object from the request body
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session_id: The session ID for logging
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"""
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from pipecat.audio.filters.krisp_filter import KrispFilter
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logger.info(f"Bot process initialized {args.room_url} {args.token}")
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transport = DailyTransport(
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args.room_url,
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args.token,
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"Pipecat Bot",
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DailyParams(
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audio_in_enabled=True,
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audio_in_filter=None if LOCAL_RUN else KrispFilter(),
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audio_out_enabled=True,
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transcription_enabled=True,
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vad_analyzer=SileroVADAnalyzer(),
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),
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)
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try:
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await main(args.room_url, args.token)
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await main(transport)
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logger.info("Bot process completed")
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except Exception as e:
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logger.exception(f"Error in bot process: {str(e)}")
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@@ -137,18 +132,27 @@ async def bot(args: DailySessionArguments):
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# Local development functions
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async def local_main():
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async def local_daily():
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"""Function for local development testing."""
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from local_runner import configure
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try:
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async with aiohttp.ClientSession() as session:
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(room_url, token) = await configure(session)
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logger.warning("_")
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logger.warning("_")
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logger.warning(f"Talk to your voice agent here: {room_url}")
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logger.warning("_")
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logger.warning("_")
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webbrowser.open(room_url)
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await main(room_url, token)
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transport = DailyTransport(
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room_url,
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token,
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"Pipecat Bot",
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DailyParams(
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audio_in_enabled=True,
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audio_out_enabled=True,
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transcription_enabled=True,
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vad_analyzer=SileroVADAnalyzer(),
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),
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)
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await main(transport)
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except Exception as e:
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logger.exception(f"Error in local development mode: {e}")
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@@ -156,6 +160,6 @@ async def local_main():
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# Local development entry point
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if LOCAL_RUN and __name__ == "__main__":
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try:
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asyncio.run(local_main())
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asyncio.run(local_daily())
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except Exception as e:
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logger.exception(f"Failed to run in local mode: {e}")
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