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同时收敛启动与运维脚本默认行为（含 wiki worker）、更新 Admin 可观测性与相关测试，降低首轮时延并提高运行稳定性。 Made-with: Cursor
38 lines
912 B
Markdown
38 lines
912 B
Markdown
---
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name: openai-whisper
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description: Local speech-to-text with the Whisper CLI (no API key).
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homepage: https://openai.com/research/whisper
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metadata:
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{
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"openclaw":
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{
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"emoji": "🎤",
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"requires": { "bins": ["whisper"] },
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"install":
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[
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{
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"id": "brew",
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"kind": "brew",
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"formula": "openai-whisper",
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"bins": ["whisper"],
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"label": "Install OpenAI Whisper (brew)",
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},
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],
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},
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}
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---
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# Whisper (CLI)
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Use `whisper` to transcribe audio locally.
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Quick start
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- `whisper /path/audio.mp3 --model medium --output_format txt --output_dir .`
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- `whisper /path/audio.m4a --task translate --output_format srt`
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Notes
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- Models download to `~/.cache/whisper` on first run.
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- `--model` defaults to `turbo` on this install.
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- Use smaller models for speed, larger for accuracy.
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