Update simple_dialin.py
Browse files- simple_dialin.py +28 -108
simple_dialin.py
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@@ -7,61 +7,39 @@ import argparse
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import asyncio
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import os
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import sys
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from call_connection_manager import CallConfigManager, SessionManager
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from dotenv import load_dotenv
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from loguru import logger
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from
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from pipecat.adapters.schemas.tools_schema import ToolsSchema
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from pipecat.audio.vad.silero import SileroVADAnalyzer
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from pipecat.frames.frames import EndTaskFrame
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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.processors.frame_processor import FrameDirection
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from pipecat.services.cartesia.tts import CartesiaTTSService
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from pipecat.services.llm_service import FunctionCallParams
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from pipecat.services.openai.llm import OpenAILLMService
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from pipecat.transports.services.daily import DailyDialinSettings, 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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daily_api_url = os.getenv("DAILY_API_URL", "https://api.daily.co/v1")
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async def main(
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room_url: str,
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token: str,
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body: dict,
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):
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# ------------ CONFIGURATION AND SETUP ------------
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# Create a config manager using the provided body
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call_config_manager = CallConfigManager.from_json_string(body) if body else CallConfigManager()
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test_mode = call_config_manager.is_test_mode()
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# Get dialin settings if present
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dialin_settings = call_config_manager.get_dialin_settings()
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# ------------ TRANSPORT SETUP ------------
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# Set up transport parameters
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if test_mode:
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logger.info("Running in test mode")
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transport_params = DailyParams(
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api_url=
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api_key=
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audio_in_enabled=True,
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audio_out_enabled=True,
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video_out_enabled=False,
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@@ -73,8 +51,8 @@ async def main(
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call_id=dialin_settings.get("call_id"), call_domain=dialin_settings.get("call_domain")
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)
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transport_params = DailyParams(
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api_url=
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api_key=
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dialin_settings=daily_dialin_settings,
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audio_in_enabled=True,
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audio_out_enabled=True,
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@@ -83,82 +61,33 @@ async def main(
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transcription_enabled=True,
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)
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transport = DailyTransport(
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room_url,
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token,
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"Simple Dial-in Bot",
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transport_params,
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)
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# Initialize TTS
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tts = CartesiaTTSService(
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api_key=os.
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voice_id="b7d50908-b17c-442d-ad8d-810c63997ed9",
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)
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# ------------ FUNCTION DEFINITIONS ------------
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async def terminate_call(params: FunctionCallParams):
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"""Function the bot can call to terminate the call upon completion of a voicemail message."""
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if session_manager:
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# Mark that the call was terminated by the bot
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session_manager.call_flow_state.set_call_terminated()
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# Then end the call
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await params.llm.queue_frame(EndTaskFrame(), FrameDirection.UPSTREAM)
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# Define function schemas for tools
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terminate_call_function = FunctionSchema(
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name="terminate_call",
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description="Call this function to terminate the call.",
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properties={},
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required=[],
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)
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# Create tools schema
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tools = ToolsSchema(standard_tools=[terminate_call_function])
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# ------------ LLM AND CONTEXT SETUP ------------
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# Set up the system instruction for the LLM
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system_instruction = """You are Chatbot, a friendly, helpful robot. 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, but keep your responses brief. Start by introducing yourself. If the user ends the conversation, **IMMEDIATELY** call the `terminate_call` function. """
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# Initialize LLM
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llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
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# Register functions with the LLM
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llm.register_function("terminate_call", terminate_call)
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# Create system message and initialize messages list
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messages = [call_config_manager.create_system_message(system_instruction)]
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# Initialize LLM context and aggregator
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context = OpenAILLMContext(messages, tools)
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context_aggregator = llm.create_context_aggregator(context)
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# ------------ PIPELINE SETUP ------------
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# Build pipeline
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pipeline = Pipeline(
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[
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transport.input(), # Transport user input
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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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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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# Create pipeline task
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task = PipelineTask(pipeline, params=PipelineParams(allow_interruptions=True))
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# ------------ EVENT HANDLERS ------------
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@transport.event_handler("on_first_participant_joined")
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async def on_first_participant_joined(transport, participant):
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logger.debug(f"First participant joined: {participant['id']}")
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await transport.capture_participant_transcription(participant["id"])
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await task.queue_frames([context_aggregator.user().get_context_frame()])
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await task.cancel()
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# ------------ RUN PIPELINE ------------
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if test_mode:
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logger.debug("Running in test mode (can be tested in Daily Prebuilt)")
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runner = PipelineRunner()
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await runner.run(task)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Simple
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parser.add_argument("-u", "--url", type=str, help="Room URL")
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parser.add_argument("-t", "--token", type=str, help="Room Token")
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parser.add_argument("-b", "--body", type=str, help="JSON configuration string")
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args = parser.parse_args()
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# Log the arguments for debugging
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logger.info(f"Room URL: {args.url}")
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logger.info(f"Token: {args.token}")
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logger.info(f"Body provided: {bool(args.body)}")
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asyncio.run(main(args.url, args.token, args.body))
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import asyncio
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import os
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import sys
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from loguru import logger
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from call_connection_manager import CallConfigManager
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from pipecat.audio.vad.silero import SileroVADAnalyzer
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from pipecat.frames.frames import EndTaskFrame, LLMMessagesFrame
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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.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 DailyDialinSettings, DailyParams, DailyTransport
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logger.remove(0)
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logger.add(sys.stderr, level="DEBUG")
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async def main(room_url: str, token: str, body: dict):
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call_config_manager = CallConfigManager.from_json_string(body) if body else CallConfigManager()
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caller_info = call_config_manager.get_caller_info()
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caller_number = caller_info["caller_number"]
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dialed_number = caller_info["dialed_number"]
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test_mode = call_config_manager.is_test_mode()
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dialin_settings = call_config_manager.get_dialin_settings()
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logger.info(f"Caller number: {caller_number}")
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logger.info(f"Dialed number: {dialed_number}")
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# ------------ TRANSPORT SETUP ------------
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if test_mode:
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logger.info("Running in test mode")
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transport_params = DailyParams(
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api_url=os.environ.get("DAILY_API_URL", "https://api.daily.co/v1"),
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api_key=os.environ.get("HF_DAILY_API_KEY", ""),
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audio_in_enabled=True,
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audio_out_enabled=True,
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video_out_enabled=False,
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call_id=dialin_settings.get("call_id"), call_domain=dialin_settings.get("call_domain")
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)
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transport_params = DailyParams(
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api_url=os.environ.get("DAILY_API_URL", "https://api.daily.co/v1"),
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api_key=os.environ.get("HF_DAILY_API_KEY", ""),
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dialin_settings=daily_dialin_settings,
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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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)
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transport = DailyTransport(room_url, token, "Simple Dialin Bot", transport_params)
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tts = CartesiaTTSService(
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api_key=os.environ.get("HF_CARTESIA_API_KEY", ""),
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voice_id="b7d50908-b17c-442d-ad8d-810c63997ed9",
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)
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llm = OpenAILLMService(api_key=os.environ.get("HF_OPENAI_API_KEY"))
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# ------------ LLM AND CONTEXT SETUP ------------
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system_instruction = """You are a friendly, helpful robot. Greet the user and ask how you can assist them."""
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messages = [call_config_manager.create_system_message(system_instruction)]
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context = OpenAILLMContext(messages)
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context_aggregator = llm.create_context_aggregator(context)
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# ------------ PIPELINE SETUP ------------
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pipeline = Pipeline([
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transport.input(),
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context_aggregator.user(),
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llm,
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tts,
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transport.output(),
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context_aggregator.assistant(),
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])
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task = PipelineTask(pipeline, params=PipelineParams(allow_interruptions=True))
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@transport.event_handler("on_first_participant_joined")
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async def on_first_participant_joined(transport, participant):
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await transport.capture_participant_transcription(participant["id"])
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await task.queue_frames([context_aggregator.user().get_context_frame()])
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await task.cancel()
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# ------------ RUN PIPELINE ------------
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runner = PipelineRunner()
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await runner.run(task)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Pipecat Simple Dialin Bot")
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parser.add_argument("-u", "--url", type=str, help="Room URL")
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parser.add_argument("-t", "--token", type=str, help="Room Token")
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parser.add_argument("-b", "--body", type=str, help="JSON configuration string")
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args = parser.parse_args()
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logger.info(f"Room URL: {args.url}")
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logger.info(f"Token: {args.token}")
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logger.info(f"Body provided: {bool(args.body)}")
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asyncio.run(main(args.url, args.token, args.body))
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