6839464161
Presuda je predugo trajala sa gpt-5.5. game_model default je sada gpt-4.1-mini (brz ~1-2s, bez reasoning overheada), kvalitet prepoznavanja i presude i dalje dobar (testirano: Kuromi, La Linea, Goku). Promjenjivo preko IDRIZ_GAME_MODEL. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01LzKpYaEsuWDevuNnvSjcFW
40 lines
2.1 KiB
Python
40 lines
2.1 KiB
Python
"""Konfiguracija iz okoline (~/.config/idriz/env se učitava preko systemd EnvironmentFile)."""
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import os
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from dataclasses import dataclass, field
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from pathlib import Path
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def _env(name: str, default: str) -> str:
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return os.environ.get(name, default)
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@dataclass
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class Config:
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openai_api_key: str = field(default_factory=lambda: _env("OPENAI_API_KEY", ""))
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realtime_model: str = field(default_factory=lambda: _env("IDRIZ_REALTIME_MODEL", "gpt-realtime-2.1"))
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text_model: str = field(default_factory=lambda: _env("IDRIZ_TEXT_MODEL", "gpt-5.5"))
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game_model: str = field(default_factory=lambda: _env("IDRIZ_GAME_MODEL", "gpt-4.1-mini"))
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image_model: str = field(default_factory=lambda: _env("IDRIZ_IMAGE_MODEL", "gpt-image-2"))
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transcription_model: str = field(default_factory=lambda: _env("IDRIZ_TRANSCRIPTION_MODEL", "gpt-4o-mini-transcribe"))
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voice: str = field(default_factory=lambda: _env("IDRIZ_VOICE", "cedar"))
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printer: str = field(default_factory=lambda: _env("IDRIZ_PRINTER", "idriz-printer"))
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mic_device: str = field(default_factory=lambda: _env("IDRIZ_MIC_DEVICE", ""))
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speaker_device: str = field(default_factory=lambda: _env("IDRIZ_SPEAKER_DEVICE", ""))
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out_dir: Path = field(default_factory=lambda: Path(_env("IDRIZ_OUT_DIR", str(Path.home() / ".local/share/idriz/out"))))
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max_pages: int = field(default_factory=lambda: int(_env("IDRIZ_MAX_PAGES", "2")))
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dry_run: bool = field(default_factory=lambda: _env("IDRIZ_DRY_RUN", "0") == "1")
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vad_silence_ms: int = field(default_factory=lambda: int(_env("IDRIZ_VAD_SILENCE_MS", "900")))
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mic_gain: float = field(default_factory=lambda: float(_env("IDRIZ_MIC_GAIN", "3.0")))
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vad_threshold: float = field(default_factory=lambda: float(_env("IDRIZ_VAD_THRESHOLD", "0.5")))
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def __post_init__(self) -> None:
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self.out_dir.mkdir(parents=True, exist_ok=True)
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# igra koristi brzi mini model (gpt-4.1-mini) da presuda ne traje dugo;
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# promjenjivo preko IDRIZ_GAME_MODEL
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if not self.game_model:
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self.game_model = "gpt-4.1-mini"
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def load() -> Config:
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return Config()
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