src/constants.ts

export const LANGUAGES = [
  { code: "ar_EG", name: "Arabic (Egypt)" },
  { code: "ar_SA", name: "Arabic (Saudi Arabia)" },
  { code: "bg_BG", name: "Bulgarian" },
  { code: "bn_IN", name: "Bengali" },
  { code: "ca_ES", name: "Catalan" },
  { code: "cs_CZ", name: "Czech" },
  { code: "da_DK", name: "Danish" },
  { code: "de_DE", name: "German" },
  { code: "el_GR", name: "Greek" },
  { code: "en", name: "English" },
  { code: "es_XX", name: "Spanish" },
  { code: "et_EE", name: "Estonian" },
  { code: "fa_IR", name: "Persian" },
  { code: "fi_FI", name: "Finnish" },
  { code: "fil_PH", name: "Filipino" },
  { code: "fr_CA", name: "French (Canada)" },
  { code: "fr_FR", name: "French" },
  { code: "gu_IN", name: "Gujarati" },
  { code: "he_IL", name: "Hebrew" },
  { code: "hi_IN", name: "Hindi" },
  { code: "hr_HR", name: "Croatian" },
  { code: "hu_HU", name: "Hungarian" },
  { code: "id_ID", name: "Indonesian" },
  { code: "is_IS", name: "Icelandic" },
  { code: "it_IT", name: "Italian" },
  { code: "ja_JP", name: "Japanese" },
  { code: "kn_IN", name: "Kannada" },
  { code: "ko_KR", name: "Korean" },
  { code: "lt_LT", name: "Lithuanian" },
  { code: "lv_LV", name: "Latvian" },
  { code: "ml_IN", name: "Malayalam" },
  { code: "mr_IN", name: "Marathi" },
  { code: "nl_NL", name: "Dutch" },
  { code: "no_NO", name: "Norwegian" },
  { code: "pa_IN", name: "Punjabi" },
  { code: "pl_PL", name: "Polish" },
  { code: "pt_BR", name: "Portuguese (Brazil)" },
  { code: "pt_PT", name: "Portuguese (Portugal)" },
  { code: "ro_RO", name: "Romanian" },
  { code: "ru_RU", name: "Russian" },
  { code: "sk_SK", name: "Slovak" },
  { code: "sl_SI", name: "Slovenian" },
  { code: "sr_RS", name: "Serbian" },
  { code: "sv_SE", name: "Swedish" },
  { code: "sw_KE", name: "Swahili" },
  { code: "sw_TZ", name: "Swahili (Tanzania)" },
  { code: "ta_IN", name: "Tamil" },
  { code: "te_IN", name: "Telugu" },
  { code: "th_TH", name: "Thai" },
  { code: "tr_TR", name: "Turkish" },
  { code: "uk_UA", name: "Ukrainian" },
  { code: "ur_PK", name: "Urdu" },
  { code: "vi_VN", name: "Vietnamese" },
  //{ code: "zh_CN", name: "Chinese (Simplified)" },
  { code: "zh_TW", name: "Chinese (Traditional)" },
  { code: "zu_ZA", name: "Zulu" },
] as const;

export const LANGUAGES_WITH_AUTO = [
  {
    code: "auto",
    name: "Auto",
  },
  ...LANGUAGES,
] as const;

export type LanguageCode = (typeof LANGUAGES_WITH_AUTO)[number]["code"];

export const getLanguageName = (code: LanguageCode): string => {
  return LANGUAGES.find((lang) => lang.code === code)?.name || code;
};

// export const MODEL_FACTS = [
//   "TranslateGemma 4B runs entirely in your browser. Your text never leaves your device.",
//   "Google's 4B model rivals the translation quality of models 3x its size, thanks to knowledge distilled from Gemini.",
//   "TranslateGemma's quality was refined using an ensemble of AI judges that score translations for accuracy and fluency.",
//   "Evaluated on 55 languages, but trained on nearly 500 language pairs, including many languages AI usually ignores.",
//   "Bengali has 300 million speakers but limited AI training data. TranslateGemma helps bridge this gap.",
//   "Built on Gemma 3, the same foundation Google uses across its AI products but fine-tuned specifically for translation.",
//   "The 4B model was designed for phones and edge devices. Google optimized it to run where cloud access isn't guaranteed.",
//   "Frozen embeddings during training helped TranslateGemma handle scripts and languages not in the training data.",
//   "TranslateGemma is fully open. Researchers can fine-tune it for their own languages, domains, or specialized terminology.",
// ] as const;