From 94de39dde2e616a01683c518023d0fab72b4e103 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期一, 19 二月 2024 22:21:50 +0800
Subject: [PATCH] aishell example
---
fun_text_processing/inverse_text_normalization/export_models.py | 29 ++---------------------------
1 files changed, 2 insertions(+), 27 deletions(-)
diff --git a/fun_text_processing/inverse_text_normalization/export_models.py b/fun_text_processing/inverse_text_normalization/export_models.py
index 49149c2..9460ad9 100644
--- a/fun_text_processing/inverse_text_normalization/export_models.py
+++ b/fun_text_processing/inverse_text_normalization/export_models.py
@@ -1,15 +1,3 @@
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
import os
from time import perf_counter
from argparse import ArgumentParser
@@ -21,12 +9,6 @@
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.",
@@ -83,17 +65,10 @@
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)
-
- 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})
+ 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')
--
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