From 28eed3258851a6baf84f28c6855fd0f9b64db827 Mon Sep 17 00:00:00 2001
From: speech_asr <wangjiaming.wjm@alibaba-inc.com>
Date: 星期五, 10 三月 2023 18:40:24 +0800
Subject: [PATCH] update unittest
---
tests/test_asr_inference_pipeline.py | 6 +++---
tests/test_asr_vad_punc_inference_pipeline.py | 32 ++++++++++++++++++++++++++++++++
2 files changed, 35 insertions(+), 3 deletions(-)
diff --git a/tests/test_asr_inference_pipeline.py b/tests/test_asr_inference_pipeline.py
index 6257d11..70dbe89 100644
--- a/tests/test_asr_inference_pipeline.py
+++ b/tests/test_asr_inference_pipeline.py
@@ -65,7 +65,7 @@
model='NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950',
model_revision='v3.0.0')
rec_result = inference_pipeline(
- audio_in='16:32https://pre.modelscope.cn/api/v1/models/NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950/repo?Revision=master&FilePath=example/asr_example_mc.wav')
+ audio_in='https://pre.modelscope.cn/api/v1/models/NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950/repo?Revision=master&FilePath=example/asr_example_mc.wav')
logger.info("asr inference result: {0}".format(rec_result))
@@ -451,8 +451,8 @@
def test_uniasr_2pass_zhcn_16k_common_vocab8358_offline(self):
inference_pipeline = pipeline(
- task=Tasks.auto_speech_recognition,
- model='damo/speech_UniASR_asr_2pass-zh-cn-16k-common-vocab8358-tensorflow1-offline')
+ task=Tasks.,
+ model='damo/speech_UniASauto_speech_recognitionR_asr_2pass-zh-cn-16k-common-vocab8358-tensorflow1-offline')
rec_result = inference_pipeline(
audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav',
param_dict={"decoding_model": "offline"})
diff --git a/tests/test_asr_vad_punc_inference_pipeline.py b/tests/test_asr_vad_punc_inference_pipeline.py
new file mode 100644
index 0000000..bcb57e0
--- /dev/null
+++ b/tests/test_asr_vad_punc_inference_pipeline.py
@@ -0,0 +1,32 @@
+import unittest
+
+from modelscope.pipelines import pipeline
+from modelscope.utils.constant import Tasks
+from modelscope.utils.logger import get_logger
+
+logger = get_logger()
+
+class TestParaformerInferencePipelines(unittest.TestCase):
+ def test_funasr_path(self):
+ import funasr
+ import os
+ logger.info("run_dir:{0} ; funasr_path: {1}".format(os.getcwd(), funasr.__file__))
+
+ def test_inference_pipeline(self):
+ inference_pipeline = pipeline(
+ task=Tasks.auto_speech_recognition,
+ model='damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch',
+ model_revision="v1.2.1",
+ vad_model='damo/speech_fsmn_vad_zh-cn-16k-common-pytorch',
+ vad_model_revision="v1.1.8",
+ punc_model='damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch',
+ punc_model_revision="v1.1.6",
+ ngpu=1,
+ )
+ rec_result = inference_pipeline(
+ audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav')
+ logger.info("asr inference result: {0}".format(rec_result))
+
+
+if __name__ == '__main__':
+ unittest.main()
--
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