The initialization of static text analyzer

TextRecognitionViewModel+TextRecognizer.kt

// TextRecognitionViewModel.kt
fun initializeTextAnalyzer(isNetworkConnected: Boolean) {
    textRecognizer.initializeTextAnalyzer(isNetworkConnected, TextLanguage.TURKISH)
}
    
// TextRecognizer.kt
fun initializeTextAnalyzer(isNetworkConnected: Boolean = false, textLanguage: TextLanguage) {
    if (isNetworkConnected)
        initializeCloudTextAnalyzer(listOf(textLanguage.languageCode))
    else
        initializeDeviceTextAnalyzer(textLanguage.languageCode)
}

private fun initializeCloudTextAnalyzer(supportedLanguageList: List<String>) {
    Timber.d("On-Cloud analyzer initialized !!")
  
    setting = MLRemoteTextSetting.Factory() // Set the on-cloud text detection mode.
        // MLRemoteTextSetting.OCR_COMPACT_SCENE: dense text recognition
        // MLRemoteTextSetting.OCR_LOOSE_SCENE: sparse text recognition
        .setTextDensityScene(MLRemoteTextSetting.OCR_COMPACT_SCENE) // Specify the languages that can be recognized, which should comply with ISO 639-1.         .setLanguageList(supportedLanguageList) // TODO: Is sending single language makes it more precise?
        // MLRemoteTextSetting.NGON: Return the coordinates of the four corner points of the quadrilateral.
        // MLRemoteTextSetting.ARC: Return the corner points of a polygon border in an arc. The coordinates of up to 72 corner points can be returned.
        .setBorderType(MLRemoteTextSetting.ARC)
        .create()

        analyzer = MLAnalyzerFactory.getInstance().getRemoteTextAnalyzer(setting as? MLRemoteTextSetting)
    }

private fun initializeDeviceTextAnalyzer(language: String) {
    Timber.d("On-Device analyzer initialized !!")

    setting = MLLocalTextSetting.Factory()
        .setOCRMode(MLLocalTextSetting.OCR_DETECT_MODE)
        .setLanguage(language)
        .create()
  
        analyzer = MLAnalyzerFactory.getInstance().getLocalTextAnalyzer(setting as? MLLocalTextSetting
}