78 lines
2.4 KiB
Python
78 lines
2.4 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 argparse
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import os
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from dotenv import load_dotenv
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from loguru import logger
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from pipecat.frames.frames import Frame, TranscriptionFrame
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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 PipelineTask
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from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
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from pipecat.services.soniox.config import SonioxInputParams
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from pipecat.services.soniox.stt import SonioxSTTService
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from pipecat.transcriptions.language import Language
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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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load_dotenv(override=True)
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class TranscriptionLogger(FrameProcessor):
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async def process_frame(self, frame: Frame, direction: FrameDirection):
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await super().process_frame(frame, direction)
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if isinstance(frame, TranscriptionFrame):
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print(f"Transcription: {frame.text}")
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async def run_bot(webrtc_connection: SmallWebRTCConnection, _: argparse.Namespace):
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logger.info(f"Starting bot")
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transport = SmallWebRTCTransport(
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webrtc_connection=webrtc_connection,
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params=TransportParams(audio_in_enabled=True),
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)
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stt = SonioxSTTService(
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api_key=os.getenv("SONIOX_API_KEY"),
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params=SonioxInputParams(
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# Add language hints to improve transcription accuracy. Variants are ignored.
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# For example "en-GB" will be treated same as "en".
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# List of supported languages: https://soniox.com/docs/speech-to-text/core-concepts/supported-languages
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language_hints=[Language.EN, Language.ES, Language.JA, Language.ZH],
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),
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)
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tl = TranscriptionLogger()
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pipeline = Pipeline([transport.input(), stt, tl])
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task = PipelineTask(pipeline)
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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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@transport.event_handler("on_client_closed")
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async def on_client_closed(transport, client):
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logger.info(f"Client closed connection")
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await task.cancel()
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runner = PipelineRunner(handle_sigint=False)
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await runner.run(task)
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if __name__ == "__main__":
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from run import main
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main()
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