Rename example files to prepend parent folder name, preventing package shadowing
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.
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62
examples/transcription/transcription-whisper-local.py
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62
examples/transcription/transcription-whisper-local.py
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#
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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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