d3021b4590
Example files like openai.py shadow installed packages when Python adds the script directory to sys.path. Prepend the parent folder name to each example file (e.g. openai.py -> function-calling-openai.py). Also split thinking-and-mcp/ into separate mcp/ and thinking/ directories.
63 lines
1.7 KiB
Python
63 lines
1.7 KiB
Python
#
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# Copyright (c) 2024-2026, 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 asyncio
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import sys
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from dotenv import load_dotenv
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from loguru import logger
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from pipecat.audio.vad.silero import SileroVADAnalyzer
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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.audio.vad_processor import VADProcessor
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from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
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from pipecat.services.whisper.stt import WhisperSTTService
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from pipecat.transports.local.audio import LocalAudioTransport, LocalAudioTransportParams
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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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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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# Push all frames through
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await self.push_frame(frame, direction)
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async def main():
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transport = LocalAudioTransport(
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LocalAudioTransportParams(
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audio_in_enabled=True,
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)
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)
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stt = WhisperSTTService()
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tl = TranscriptionLogger()
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vad_processor = VADProcessor(vad_analyzer=SileroVADAnalyzer())
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pipeline = Pipeline([transport.input(), vad_processor, stt, tl])
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task = PipelineTask(pipeline)
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runner = PipelineRunner(handle_sigint=False if sys.platform == "win32" else True)
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await runner.run(task)
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if __name__ == "__main__":
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asyncio.run(main())
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