# # Copyright (c) 2024–2025, Daily # # SPDX-License-Identifier: BSD 2-Clause License # import argparse import os from dotenv import load_dotenv from loguru import logger from pipecat.frames.frames import Frame, TranscriptionFrame from pipecat.pipeline.pipeline import Pipeline from pipecat.pipeline.runner import PipelineRunner from pipecat.pipeline.task import PipelineTask from pipecat.processors.frame_processor import FrameDirection, FrameProcessor from pipecat.services.deepgram.stt import DeepgramSTTService, Language, LiveOptions from pipecat.transports.base_transport import TransportParams from pipecat.transports.network.small_webrtc import SmallWebRTCTransport from pipecat.transports.network.webrtc_connection import SmallWebRTCConnection load_dotenv(override=True) class TranscriptionLogger(FrameProcessor): async def process_frame(self, frame: Frame, direction: FrameDirection): await super().process_frame(frame, direction) if isinstance(frame, TranscriptionFrame): print(f"Transcription: {frame.text}") async def run_bot(webrtc_connection: SmallWebRTCConnection, _: argparse.Namespace): logger.info(f"Starting bot") transport = SmallWebRTCTransport( webrtc_connection=webrtc_connection, params=TransportParams(audio_in_enabled=True), ) stt = DeepgramSTTService( api_key=os.getenv("DEEPGRAM_API_KEY"), live_options=LiveOptions(language=Language.EN), ) tl = TranscriptionLogger() pipeline = Pipeline([transport.input(), stt, tl]) task = PipelineTask(pipeline) @transport.event_handler("on_client_disconnected") async def on_client_disconnected(transport, client): logger.info(f"Client disconnected") @transport.event_handler("on_client_closed") async def on_client_closed(transport, client): logger.info(f"Client closed connection") await task.cancel() runner = PipelineRunner(handle_sigint=False) await runner.run(task) if __name__ == "__main__": from run import main main()