Switch wake word from Porcupine to openwakeword + training pipeline

- 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

.env.example

@@ -11,15 +11,11 @@ LUSYA_AGENT=openclaw/main
 LUSYA_VOICE_MODEL=openai/gpt-5.4-mini
 
 # STT (Groq)
-STT_PROVIDER=groq
 GROQ_API_KEY=your_groq_api_key_here
-WHISPER_MODEL=small
-WHISPER_LANGUAGE=ru
 
-# Picovoice Porcupine (wake word, только на Pi)
-PORCUPINE_KEY=your_picovoice_key_here
-WAKE_WORD_COSMO=cosmo_raspberry-pi.ppn
-WAKE_WORD_LUSYA=lusya_raspberry-pi.ppn
+# Wake word (openwakeword .onnx модели, обучаются через training/step_4.py)
+WAKE_WORD_COSMO=data/models/cosmo.onnx
+WAKE_WORD_LUSYA=data/models/lusya.onnx
 
 # Audio (на Pi: bluez_sink.XX_XX_XX_XX_XX_XX.a2dp_sink)
 AUDIO_SINK=