examples(foundational): support multiple transports
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@@ -12,6 +12,7 @@ from datetime import datetime
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from dotenv import load_dotenv
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from loguru import logger
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from run import get_transport_client_id, maybe_capture_participant_video
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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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@@ -25,19 +26,16 @@ 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.google.llm import GoogleLLMService
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from pipecat.services.llm_service import FunctionCallParams
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from pipecat.transports.base_transport import TransportParams
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from pipecat.transports.network.small_webrtc import SmallWebRTCTransport
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from pipecat.transports.network.webrtc_connection import SmallWebRTCConnection
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from pipecat.transports.base_transport import BaseTransport, TransportParams
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from pipecat.transports.services.daily import DailyParams
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load_dotenv(override=True)
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video_participant_id = None
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BASE_FILENAME = "/tmp/pipecat_conversation_"
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tts = None
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webrtc_peer_id = ""
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# Global variable to store the client ID
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client_id = ""
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async def fetch_weather_from_api(params: FunctionCallParams):
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@@ -54,11 +52,11 @@ async def fetch_weather_from_api(params: FunctionCallParams):
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async def get_image(params: FunctionCallParams):
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question = params.arguments["question"]
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logger.debug(f"Requesting image with user_id={webrtc_peer_id}, question={question}")
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logger.debug(f"Requesting image with user_id={client_id}, question={question}")
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# Request the image frame
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await params.llm.request_image_frame(
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user_id=webrtc_peer_id,
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user_id=client_id,
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function_name=params.function_name,
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tool_call_id=params.tool_call_id,
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text_content=question,
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@@ -96,7 +94,6 @@ async def save_conversation(params: FunctionCallParams):
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async def load_conversation(params: FunctionCallParams):
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global tts
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filename = params.arguments["filename"]
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logger.debug(f"loading conversation from {filename}")
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try:
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@@ -221,21 +218,27 @@ tools = [
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]
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async def run_bot(webrtc_connection: SmallWebRTCConnection, _: argparse.Namespace):
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global tts, webrtc_peer_id
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webrtc_peer_id = webrtc_connection.pc_id
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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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video_in_enabled=True,
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vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.8)),
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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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video_in_enabled=True,
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vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.8)),
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),
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}
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logger.info(f"Starting bot with peer_id: {webrtc_peer_id}")
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transport = SmallWebRTCTransport(
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webrtc_connection=webrtc_connection,
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params=TransportParams(
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audio_in_enabled=True,
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audio_out_enabled=True,
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video_in_enabled=True,
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vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.8)),
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),
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)
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async def run_example(transport: BaseTransport, _: argparse.Namespace):
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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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@@ -282,12 +285,19 @@ async def run_bot(webrtc_connection: SmallWebRTCConnection, _: argparse.Namespac
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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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await maybe_capture_participant_video(transport, client)
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global client_id
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client_id = get_transport_client_id(transport, client)
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# Kick off the conversation.
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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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@transport.event_handler("on_client_closed")
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async def on_client_closed(transport, client):
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@@ -302,4 +312,4 @@ async def run_bot(webrtc_connection: SmallWebRTCConnection, _: argparse.Namespac
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if __name__ == "__main__":
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from run import main
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main()
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main(run_example, transport_params=transport_params)
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