v1.2.0

游雁

2024-12-12 2139ef696bbf844ab0c1636778f68291d3613fcb

 fun_text_processing/text_normalization/export_models.py

@@ -3,14 +3,23 @@
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', 'ru', 'zh'], default="en", type=str
        "--language",
        help="language",
        choices=["de", "en", "es", "ru", "zh"],
        default="en",
        type=str,
    )
    parser.add_argument(
        "--input_case", help="input capitalization", choices=["lower_cased", "cased"], default="cased", type=str
        "--input_case",
        help="input capitalization",
        choices=["lower_cased", "cased"],
        default="cased",
        type=str,
    )
    parser.add_argument(
        "--export_dir",
@@ -20,27 +29,53 @@
    )
    return parser.parse_args()

def get_grammars(lang: str="en", input_case: str="cased"):
  if lang=='de':
    from fun_text_processing.text_normalization.de.taggers.tokenize_and_classify import ClassifyFst
    from fun_text_processing.text_normalization.de.verbalizers.verbalize_final import VerbalizeFinalFst
  elif lang=='en':
    from fun_text_processing.text_normalization.en.taggers.tokenize_and_classify import ClassifyFst
    from fun_text_processing.text_normalization.en.verbalizers.verbalize_final import VerbalizeFinalFst
  elif lang=='es':
    from fun_text_processing.text_normalization.es.taggers.tokenize_and_classify import ClassifyFst
    from fun_text_processing.text_normalization.es.verbalizers.verbalize_final import VerbalizeFinalFst
  elif lang=='ru':
    from fun_text_processing.text_normalization.ru.taggers.tokenize_and_classify import ClassifyFst
    from fun_text_processing.text_normalization.ru.verbalizers.verbalize_final import VerbalizeFinalFst
  elif lang=='zh':
    from fun_text_processing.text_normalization.zh.taggers.tokenize_and_classify import ClassifyFst
    from fun_text_processing.text_normalization.zh.verbalizers.verbalize_final import VerbalizeFinalFst
  else:
    from fun_text_processing.text_normalization.en.taggers.tokenize_and_classify import ClassifyFst
    from fun_text_processing.text_normalization.en.verbalizers.verbalize_final import VerbalizeFinalFst

  return ClassifyFst(input_case=input_case).fst, VerbalizeFinalFst().fst
def get_grammars(lang: str = "en", input_case: str = "cased"):
    if lang == "de":
        from fun_text_processing.text_normalization.de.taggers.tokenize_and_classify import (
            ClassifyFst,
        )
        from fun_text_processing.text_normalization.de.verbalizers.verbalize_final import (
            VerbalizeFinalFst,
        )
    elif lang == "en":
        from fun_text_processing.text_normalization.en.taggers.tokenize_and_classify import (
            ClassifyFst,
        )
        from fun_text_processing.text_normalization.en.verbalizers.verbalize_final import (
            VerbalizeFinalFst,
        )
    elif lang == "es":
        from fun_text_processing.text_normalization.es.taggers.tokenize_and_classify import (
            ClassifyFst,
        )
        from fun_text_processing.text_normalization.es.verbalizers.verbalize_final import (
            VerbalizeFinalFst,
        )
    elif lang == "ru":
        from fun_text_processing.text_normalization.ru.taggers.tokenize_and_classify import (
            ClassifyFst,
        )
        from fun_text_processing.text_normalization.ru.verbalizers.verbalize_final import (
            VerbalizeFinalFst,
        )
    elif lang == "zh":
        from fun_text_processing.text_normalization.zh.taggers.tokenize_and_classify import (
            ClassifyFst,
        )
        from fun_text_processing.text_normalization.zh.verbalizers.verbalize_final import (
            VerbalizeFinalFst,
        )
    else:
        from fun_text_processing.text_normalization.en.taggers.tokenize_and_classify import (
            ClassifyFst,
        )
        from fun_text_processing.text_normalization.en.verbalizers.verbalize_final import (
            VerbalizeFinalFst,
        )

    return ClassifyFst(input_case=input_case).fst, VerbalizeFinalFst().fst


if __name__ == "__main__":
    args = parse_args()
@@ -54,5 +89,4 @@
    tagger_fst, verbalizer_fst = get_grammars(args.language, args.input_case)
    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')

    print(f"Time to generate graph: {round(perf_counter() - start_time, 2)} sec")