| 1 | from __future__ import annotations |
| 2 | |
| 3 | import asyncio |
| 4 | import base64 |
| 5 | import os |
| 6 | import tempfile |
| 7 | import warnings |
| 8 | from typing import Any |
| 9 | |
| 10 | import whisper |
| 11 | |
| 12 | from helpers import files, plugins |
| 13 | from helpers.notification import ( |
| 14 | NotificationManager, |
| 15 | NotificationPriority, |
| 16 | NotificationType, |
| 17 | ) |
| 18 | from helpers.print_style import PrintStyle |
| 19 | from plugins._whisper_stt.helpers import migration |
| 20 | |
| 21 | |
| 22 | warnings.filterwarnings("ignore", category=FutureWarning) |
| 23 | |
| 24 | |
| 25 | PLUGIN_NAME = "_whisper_stt" |
| 26 | DEFAULT_CONFIG = { |
| 27 | "model_size": "base", |
| 28 | "language": "en", |
| 29 | "message_mode": "send", |
| 30 | "silence_threshold": 0.3, |
| 31 | "silence_duration": 1000, |
| 32 | "waiting_timeout": 2000, |
| 33 | } |
| 34 | VALID_MODEL_SIZES = {"tiny", "base", "small", "medium", "large", "turbo"} |
| 35 | VALID_MESSAGE_MODES = {"send", "draft"} |
| 36 | |
| 37 | _model = None |
| 38 | _model_name = "" |
| 39 | is_updating_model = False |
| 40 | |
| 41 | |
| 42 | def normalize_config(config: dict[str, Any] | None) -> dict[str, Any]: |
| 43 | normalized = dict(DEFAULT_CONFIG) |
| 44 | if not isinstance(config, dict): |
| 45 | return normalized |
| 46 | |
| 47 | model_size = str(config.get("model_size", normalized["model_size"]) or "").strip() |
| 48 | if model_size in VALID_MODEL_SIZES: |
| 49 | normalized["model_size"] = model_size |
| 50 | |
| 51 | language = str(config.get("language", normalized["language"]) or "").strip() |
| 52 | if language: |
| 53 | normalized["language"] = language |
| 54 | |
| 55 | message_mode = ( |
| 56 | str(config.get("message_mode", normalized["message_mode"]) or "") |
| 57 | .strip() |
| 58 | .lower() |
| 59 | ) |
| 60 | if message_mode in VALID_MESSAGE_MODES: |
| 61 | normalized["message_mode"] = message_mode |
| 62 | |
| 63 | try: |
| 64 | silence_threshold = float( |
| 65 | config.get("silence_threshold", normalized["silence_threshold"]) |
| 66 | ) |
| 67 | normalized["silence_threshold"] = min(max(silence_threshold, 0.0), 1.0) |
| 68 | except (TypeError, ValueError): |
| 69 | pass |
| 70 | |
| 71 | try: |
| 72 | silence_duration = int( |
| 73 | config.get("silence_duration", normalized["silence_duration"]) |
| 74 | ) |
| 75 | if silence_duration > 0: |
| 76 | normalized["silence_duration"] = silence_duration |
| 77 | except (TypeError, ValueError): |
| 78 | pass |
| 79 | |
| 80 | try: |
| 81 | waiting_timeout = int(config.get("waiting_timeout", normalized["waiting_timeout"])) |
| 82 | if waiting_timeout > 0: |
| 83 | normalized["waiting_timeout"] = waiting_timeout |
| 84 | except (TypeError, ValueError): |
| 85 | pass |
| 86 | |
| 87 | return normalized |
| 88 | |
| 89 | |
| 90 | def get_config() -> dict[str, Any]: |
| 91 | migration.ensure_config_seeded() |
| 92 | config = plugins.get_plugin_config(PLUGIN_NAME) or {} |
| 93 | return normalize_config(config) |
| 94 | |
| 95 | |
| 96 | def get_loaded_model_name() -> str: |
| 97 | return _model_name |
| 98 | |
| 99 | |
| 100 | def is_globally_enabled() -> bool: |
| 101 | return plugins.determined_toggle_from_paths( |
| 102 | True, reversed(plugins.get_plugin_roots(PLUGIN_NAME)) |
| 103 | ) |
| 104 | |
| 105 | |
| 106 | async def preload(model_name: str | None = None): |
| 107 | cfg = get_config() |
| 108 | resolved_model = str(model_name or cfg["model_size"]) |
| 109 | return await _preload(resolved_model) |
| 110 | |
| 111 | |
| 112 | async def _preload(model_name: str): |
| 113 | global _model, _model_name, is_updating_model |
| 114 | |
| 115 | while is_updating_model: |
| 116 | await asyncio.sleep(0.1) |
| 117 | |
| 118 | try: |
| 119 | is_updating_model = True |
| 120 | if not _model or _model_name != model_name: |
| 121 | NotificationManager.send_notification( |
| 122 | NotificationType.INFO, |
| 123 | NotificationPriority.NORMAL, |
| 124 | "Loading Whisper model...", |
| 125 | display_time=99, |
| 126 | group="whisper-preload", |
| 127 | ) |
| 128 | PrintStyle.standard(f"Loading Whisper model: {model_name}") |
| 129 | _model = whisper.load_model( |
| 130 | name=model_name, |
| 131 | download_root=files.get_abs_path("/tmp/models/whisper"), |
| 132 | ) |
| 133 | _model_name = model_name |
| 134 | NotificationManager.send_notification( |
| 135 | NotificationType.INFO, |
| 136 | NotificationPriority.NORMAL, |
| 137 | "Whisper model loaded.", |
| 138 | display_time=2, |
| 139 | group="whisper-preload", |
| 140 | ) |
| 141 | finally: |
| 142 | is_updating_model = False |
| 143 | |
| 144 | |
| 145 | async def is_downloading() -> bool: |
| 146 | return is_updating_model |
| 147 | |
| 148 | |
| 149 | async def is_downloaded() -> bool: |
| 150 | return _model is not None |
| 151 | |
| 152 | |
| 153 | async def transcribe( |
| 154 | audio_bytes_b64: str, config: dict[str, Any] | None = None |
| 155 | ) -> dict[str, Any]: |
| 156 | cfg = normalize_config(config or get_config()) |
| 157 | return await _transcribe( |
| 158 | str(cfg["model_size"]), |
| 159 | audio_bytes_b64, |
| 160 | language=_resolve_language(str(cfg["language"])), |
| 161 | ) |
| 162 | |
| 163 | |
| 164 | async def _transcribe( |
| 165 | model_name: str, audio_bytes_b64: str, *, language: str | None = None |
| 166 | ) -> dict[str, Any]: |
| 167 | await _preload(model_name) |
| 168 | |
| 169 | audio_bytes = base64.b64decode(audio_bytes_b64) |
| 170 | |
| 171 | with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as audio_file: |
| 172 | audio_file.write(audio_bytes) |
| 173 | temp_path = audio_file.name |
| 174 | |
| 175 | try: |
| 176 | kwargs: dict[str, Any] = {"fp16": False} |
| 177 | if language: |
| 178 | kwargs["language"] = language |
| 179 | |
| 180 | result = _model.transcribe(temp_path, **kwargs) # type: ignore[union-attr] |
| 181 | return result if isinstance(result, dict) else {} |
| 182 | finally: |
| 183 | try: |
| 184 | os.remove(temp_path) |
| 185 | except Exception: |
| 186 | pass |
| 187 | |
| 188 | |
| 189 | def _resolve_language(language: str) -> str | None: |
| 190 | value = language.strip().lower() |
| 191 | if not value or value == "auto": |
| 192 | return None |
| 193 | return value |