Daniil Klimov
780f6f0084
- Add training/ pipeline (step_1..step_5) and own-samples flow
- record_wav.py with single-shot and long-record modes, RMS-based silence filter
- remove_silent.py to drop silent samples and renumber
- modes.py: openwakeword inference with reset() and quiet predictions; commented Lusya block for later
- stt.py: drop local faster-whisper fallback, Groq-only
- config.py: remove unused STT_PROVIDER/WHISPER_*
- llm.py: replace __import__("os") hack with proper import
- tts.py: remove debug traceback in play_error_sound
- requirements.txt: add openwakeword/sounddevice/scipy, drop faster-whisper
- deploy/setup.sh: validate ELEVENLABS_API_KEY and WAKE_WORD_COSMO presence
- README.md, CLAUDE.md, project_roadmap memory updated to reflect new architecture
37 lines
320 B
Plaintext
37 lines
320 B
Plaintext
# Secrets
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.env
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# Python
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__pycache__/
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*.py[cod]
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*.egg-info/
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.venv/
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venv/
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env/
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# Porcupine wake word models (платформо-специфичные)
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*.ppn
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# Logs
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*.log
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errors.log
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# IDE
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.vscode/
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.idea/
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*.swp
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.DS_Store
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# OS
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Thumbs.db
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# Claude Code
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.claude/
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# Data
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data/
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# Training
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training/
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training/openwakeword
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