use-local-whisper

# Use Local Whisper Switches voice transcription from OpenAI's Whisper API to local whisper.cpp. Runs entirely on-device — no API key, no network, no cost. **Channel support:** Currently WhatsApp only. The transcription module (`src/transcription.ts`) uses Baileys types for audio download. Other channels (Telegram, Discord, etc.) would need their own audio-download logic before this skill can serve them. **Note:** The Homebrew package is `whisper-cpp`, but the CLI binary it installs is `whisper-cli`. ## Prerequisites - `voice-transcription` skill must be applied first (WhatsApp channel) - macOS with Apple Silicon (M1+) recommended - `whisper-cpp` installed: `brew install whisper-cpp` (provides the `whisper-cli` binary) - `ffmpeg` installed: `brew install ffmpeg` - A GGML model file downloaded to `data/models/` ## Phase 1: Pre-flight ### Check if already applied Check if `src/transcription.ts` already uses `whisper-cli`: ```bash grep 'whisper-cli' src/transcription.ts && echo "Already applied" || echo "Not applied" ``` If already applied, skip to Phase 3 (Verify). ### Check dependencies are installed ```bash whisper-cli --help >/dev/null 2>&1 && echo "WHISPER_OK" || echo "WHISPER_MISSING" ffmpeg -version >/dev/null 2>&1 && echo "FFMPEG_OK" || echo "FFMPEG_MISSING" ``` If missing, install via Homebrew: ```bash brew install whisper-cpp ffmpeg ``` ### Check for model file ```bash ls data/models/ggml-*.bin 2>/dev/null || echo "NO_MODEL" ``` If no model exists, down...