Update export_models.py

Chong Zhang

2023-01-04 7836bee517a678192890a02449ef9aa7fe89f8fb

 fun_text_processing/inverse_text_normalization/export_models.py

@@ -21,6 +21,12 @@
    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(
        "--token_and_classify_and_verbalize", help="export the single token&classify and verbalize or combined", choices=['single', 'combine'],
        default="combine", type=str
    )

    parser.add_argument(
        "--export_dir",
        help="path to export directory. Default to current directory.",
@@ -77,10 +83,17 @@
    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")
    tager_and_verbalizer_far_file = os.path.join(export_dir, args.language, "model.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})

    if args.token_and_classify_and_verbalize == 'single':
        generator_main(tagger_far_file, {"tokenize_and_classify": tagger_fst})
        generator_main(verbalizer_far_file, {"verbalize": verbalizer_fst})
    elif args.token_and_classify_and_verbalize == 'combine':
        if not os.path.exists(os.path.join(export_dir, args.language)):
            os.makedirs(os.path.join(export_dir, args.language))
        generator_main(tager_and_verbalizer_far_file, {"tokenize_and_classify": tagger_fst, "verbalize": verbalizer_fst})
    print(f'Time to generate graph: {round(perf_counter() - start_time, 2)} sec')