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annotate dictation/config.py @ 275:78699f810817

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Add Qwen3-VL and WebRTC dictation services Add Bazel targets for the CUDA-backed Qwen3-VL server and a local WebRTC faster-whisper dictation service. Co-authored-by: Copilot <[email protected]> Copilot-Session: e3d8cb06-6c95-4ae0-9757-651d3796ab00
author MrJuneJune <me@mrjunejune.com>
date Mon, 17 Aug 2026 10:58:47 -0700
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children 49e9e591c9bb
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1 from __future__ import annotations
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2
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3 from dataclasses import dataclass
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4 import os
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5 from pathlib import Path
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6
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7
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8 MODEL_REPOSITORY = "Systran/faster-whisper-small"
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9 MODEL_REVISION = "536b0662742c02347bc0e980a01041f333bce120"
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10
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11
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12 def _integer(name: str, default: int, minimum: int, maximum: int) -> int:
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13 raw = os.environ.get(name)
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14 if raw is None:
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15 return default
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16 try:
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17 value = int(raw)
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18 except ValueError as error:
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19 raise ValueError(f"{name} must be an integer") from error
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20 if value < minimum or value > maximum:
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21 raise ValueError(f"{name} must be between {minimum} and {maximum}")
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22 return value
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23
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24
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25 def _float(name: str, default: float, minimum: float, maximum: float) -> float:
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26 raw = os.environ.get(name)
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27 if raw is None:
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28 return default
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29 try:
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30 value = float(raw)
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31 except ValueError as error:
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32 raise ValueError(f"{name} must be a number") from error
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33 if value < minimum or value > maximum:
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34 raise ValueError(f"{name} must be between {minimum} and {maximum}")
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35 return value
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36
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37
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38 @dataclass(frozen=True)
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39 class DictationConfig:
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40 host: str
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41 port: int
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42 model_dir: Path
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43 compute_type: str
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44 max_sessions: int
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45 partial_interval_ms: int
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46 silence_ms: int
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47 max_utterance_seconds: int
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48 speech_threshold: float
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49
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50 @classmethod
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51 def from_environment(cls) -> "DictationConfig":
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52 cache_root = Path(
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53 os.environ.get(
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54 "XDG_CACHE_HOME",
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55 str(Path.home() / ".cache"),
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56 )
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57 )
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58 model_dir = Path(
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59 os.environ.get(
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60 "DICTATION_MODEL_DIR",
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61 str(cache_root / "zenbu" / "faster-whisper-small"),
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62 )
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63 ).expanduser()
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64 compute_type = os.environ.get(
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65 "DICTATION_COMPUTE_TYPE",
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66 "int8_float16",
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67 )
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68 if compute_type not in {
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69 "float16",
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70 "int8_float16",
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71 "int8",
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72 }:
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73 raise ValueError(
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74 "DICTATION_COMPUTE_TYPE must be float16, int8_float16, or int8"
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75 )
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76 host = os.environ.get("DICTATION_HOST", "127.0.0.1")
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77 if not host:
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78 raise ValueError("DICTATION_HOST must not be empty")
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79 return cls(
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80 host=host,
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81 port=_integer("DICTATION_PORT", 8090, 1, 65535),
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82 model_dir=model_dir,
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83 compute_type=compute_type,
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84 max_sessions=_integer("DICTATION_MAX_SESSIONS", 1, 1, 8),
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85 partial_interval_ms=_integer(
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86 "DICTATION_PARTIAL_INTERVAL_MS",
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87 1200,
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88 500,
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89 10000,
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90 ),
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91 silence_ms=_integer("DICTATION_SILENCE_MS", 700, 200, 5000),
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92 max_utterance_seconds=_integer(
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93 "DICTATION_MAX_UTTERANCE_SECONDS",
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94 30,
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95 3,
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96 120,
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97 ),
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98 speech_threshold=_float(
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99 "DICTATION_SPEECH_THRESHOLD",
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100 0.012,
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101 0.001,
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102 0.5,
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103 ),
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104 )