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tools/whisper-transcribe.py

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+#!/usr/bin/env python3
+"""Whisper transcription wrapper for OpenClaw voice notes.
+Outputs transcript text to stdout."""
+
+import sys
+
+def transcribe(path):
+    from faster_whisper import WhisperModel
+    model = WhisperModel("base.en", device="cpu", compute_type="int8")
+    segments, _ = model.transcribe(path, beam_size=5, language="en")
+    text = " ".join(seg.text for seg in segments).strip()
+    print(text)
+
+if __name__ == "__main__":
+    if len(sys.argv) < 2:
+        print("Usage: whisper-transcribe.py <audio-file>", file=sys.stderr)
+        sys.exit(1)
+    transcribe(sys.argv[-1])