# Audio files
audio/
*.mp3
*.wav

# Whisper models
models/
*.bin

# Manifest (machine-specific state)
manifest.json

# Credentials
.env

# SRT subtitles (generated, can be re-derived from transcripts)
*.srt

# Binaries (downloaded by setup_whisper.py)
whisper-bin/
ffmpeg-bin/

# Temp files
.whisper_bin_path
.ffmpeg_bin_path

# WAV cache (converted from MP3)
audio_wav/

# Python
__pycache__/
*.pyc
.venv/
.venv_pdf/

# Claude Code local state
.claude/

# Logs
*.log

# Second course (practitioner) — artifacts only, scripts partajate
nlp-practitioner/audio/
nlp-practitioner/audio_wav/

# Recon scratch
scratch_recon.py
tmp_recon/
