import os from time import perf_counter from argparse import ArgumentParser from fun_text_processing.text_normalization.en.graph_utils import generator_main def parse_args(): parser = ArgumentParser() parser.add_argument( "--language", help="language", choices=["de", "en", "es", "fr", "id", "ja", "ko", "pt", "ru", "vi", "zh"], default="en", type=str, ) parser.add_argument( "--export_dir", help="path to export directory. Default to current directory.", default="./", type=str, ) return parser.parse_args() def get_grammars(lang: str = "en"): if lang == "de": from fun_text_processing.inverse_text_normalization.de.taggers.tokenize_and_classify import ( ClassifyFst, ) from fun_text_processing.inverse_text_normalization.de.verbalizers.verbalize_final import ( VerbalizeFinalFst, ) elif lang == "en": from fun_text_processing.inverse_text_normalization.en.taggers.tokenize_and_classify import ( ClassifyFst, ) from fun_text_processing.inverse_text_normalization.en.verbalizers.verbalize_final import ( VerbalizeFinalFst, ) elif lang == "es": from fun_text_processing.inverse_text_normalization.es.taggers.tokenize_and_classify import ( ClassifyFst, ) from fun_text_processing.inverse_text_normalization.es.verbalizers.verbalize_final import ( VerbalizeFinalFst, ) elif lang == "fr": from fun_text_processing.inverse_text_normalization.fr.taggers.tokenize_and_classify import ( ClassifyFst, ) from fun_text_processing.inverse_text_normalization.fr.verbalizers.verbalize_final import ( VerbalizeFinalFst, ) elif lang == "id": from fun_text_processing.inverse_text_normalization.id.taggers.tokenize_and_classify import ( ClassifyFst, ) from fun_text_processing.inverse_text_normalization.id.verbalizers.verbalize_final import ( VerbalizeFinalFst, ) elif lang == "ja": from fun_text_processing.inverse_text_normalization.ja.taggers.tokenize_and_classify import ( ClassifyFst, ) from fun_text_processing.inverse_text_normalization.ja.verbalizers.verbalize_final import ( VerbalizeFinalFst, ) elif lang == "ko": from fun_text_processing.inverse_text_normalization.ko.taggers.tokenize_and_classify import ( ClassifyFst, ) from fun_text_processing.inverse_text_normalization.ko.verbalizers.verbalize_final import ( VerbalizeFinalFst, ) elif lang == "pt": from fun_text_processing.inverse_text_normalization.pt.taggers.tokenize_and_classify import ( ClassifyFst, ) from fun_text_processing.inverse_text_normalization.pt.verbalizers.verbalize_final import ( VerbalizeFinalFst, ) elif lang == "ru": from fun_text_processing.inverse_text_normalization.ru.taggers.tokenize_and_classify import ( ClassifyFst, ) from fun_text_processing.inverse_text_normalization.ru.verbalizers.verbalize_final import ( VerbalizeFinalFst, ) elif lang == "vi": from fun_text_processing.inverse_text_normalization.vi.taggers.tokenize_and_classify import ( ClassifyFst, ) from fun_text_processing.inverse_text_normalization.vi.verbalizers.verbalize_final import ( VerbalizeFinalFst, ) elif lang == "zh": from fun_text_processing.inverse_text_normalization.zh.taggers.tokenize_and_classify import ( ClassifyFst, ) from fun_text_processing.inverse_text_normalization.zh.verbalizers.verbalize_final import ( VerbalizeFinalFst, ) else: from fun_text_processing.inverse_text_normalization.en.taggers.tokenize_and_classify import ( ClassifyFst, ) from fun_text_processing.inverse_text_normalization.en.verbalizers.verbalize_final import ( VerbalizeFinalFst, ) return ClassifyFst().fst, VerbalizeFinalFst().fst if __name__ == "__main__": args = parse_args() export_dir = args.export_dir os.makedirs(export_dir, exist_ok=True) tagger_far_file = os.path.join(export_dir, args.language + "_itn_tagger.far") verbalizer_far_file = os.path.join(export_dir, args.language + "_itn_verbalizer.far") start_time = perf_counter() tagger_fst, verbalizer_fst = get_grammars(args.language) generator_main(tagger_far_file, {"tokenize_and_classify": tagger_fst}) generator_main(verbalizer_far_file, {"verbalize": verbalizer_fst}) print(f"Time to generate graph: {round(perf_counter() - start_time, 2)} sec")