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Update agent_tools/audio_transcriber.py
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agent_tools/audio_transcriber.py
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import os
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import tempfile
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import whisper
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MODEL_NAME = "base"
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whisper_model = whisper.load_model(MODEL_NAME)
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def transcribe_audio(audio_file_path: str) -> str:
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"""
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Transcribes speech from an audio file using OpenAI Whisper.
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Args:
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audio_file_path (str): Path to the local audio file (.mp3, .wav, etc.).
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Returns:
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str: Transcribed text or error message.
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"""
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try:
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result = whisper_model.transcribe(audio_file_path)
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return result["text"].strip()
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except Exception as e:
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return f"Transcription error: {str(e)}"
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