Adolfo Reyna
199f762616
- PipeWire/pw-record backend (no PortAudio needed) - tested mic live - VAD: Energy (immediate) + Silero (torch CPU) switchable - Wakeword: openWakeWord TFLite hey_jarvis 0.4 - STT: faster-whisper base int8 CPU - model loads OK on i3 - SpeakerID: ECAPA embeddings + fallback stats, enrollment store - Vision: OpenCV Haar + face_recognition + webcam cam0 640x480 verified - LLM: ollama/qwen2.5:3b, gemini_cli, hermes_api, echo strategies - TTS: Piper + espeak + echo fallbacks - Core pipeline: IDLE -> WAKE -> RECORDING -> STT -> SpeakerID/FaceID fusion -> LLM -> TTS -> followup window - Config via jarvis.yaml, soul.md persona - CLI tools: run, devices, enroll-speaker, enroll-face, test-vad, test-mic - Systemd user service ready - Tested on iMac 2010 i3 550 15GB Ubuntu 26.04 CPU-only
29 lines
816 B
Python
29 lines
816 B
Python
import yaml, os
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from pathlib import Path
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from typing import Any, Dict, Optional
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def load_config(path: Optional[Path] = None) -> Dict[str, Any]:
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default = Path(__file__).parent.parent / "jarvis.yaml"
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example = Path(__file__).parent.parent / "jarvis.yaml.example"
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if path is None:
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if default.exists():
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path = default
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elif example.exists():
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path = example
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else:
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return {}
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path = Path(path)
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if not path.exists():
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return {}
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with open(path, 'r') as f:
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return yaml.safe_load(f) or {}
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def get_nested(cfg: dict, dotted: str, default=None):
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cur = cfg
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for part in dotted.split('.'):
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if isinstance(cur, dict) and part in cur:
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cur = cur[part]
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else:
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return default
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return cur
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