feat: implement vertical crop, local LLM deepseek-v4-flash, multi-threading, word-level pink box highlight subtitles, and Nextcloud scan sync

brainrotinator/config.py

@@ -0,0 +1,59 @@
+"""Typed config for brainrotinator.
+
+Replaces the old `global` block in main.py and the dict access scattered
+across the codebase. Loaded from `config.json` at the project root.
+"""
+
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+from pydantic import BaseModel, Field
+
+
+CONFIG_PATH = Path(__file__).resolve().parent / "config.json"
+
+
+class Config(BaseModel):
+    # Upload metadata
+    tags: list[str] = Field(default_factory=list)
+    description: str = "#shorts"
+
+    # Upload scheduling
+    howManyUploads: int = 1
+    howManyHoursBetweenSchedule: int = 0
+    howManyMinsBetweenUpload: int = 5
+    howManyHoursLongToSleep: int = 23
+    sleepXMinsBeforeStartingUploader: int = 0
+
+    # Editing
+    chunkDuration: int = 58
+    blurTopBottomOfClip: bool = True
+    useWhisperForTranscription: bool = False
+    filterProfanityInSubtitles: bool = False
+
+    # Subtitles
+    subtitleFontSize: int = 100
+    subtitleMarginV: int = 480
+
+    # Upload targets
+    uploadToYoutube: bool = True
+    uploadToInstagram: bool = True
+    uploadToTiktok: bool = False
+
+    # Selenium
+    firefoxHeadless: bool = True
+
+    # Model dirs (empty = use cwd)
+    voskModelDir: str = "models"
+    tinyLlamaDir: str = "models"
+
+    @classmethod
+    def load(cls, path: Path | str = CONFIG_PATH) -> "Config":
+        with open(path) as f:
+            return cls.model_validate(json.load(f))
+
+    def save(self, path: Path | str = CONFIG_PATH) -> None:
+        with open(path, "w") as f:
+            json.dump(self.model_dump(), f, indent=4)