| New file |
| | |
| | | 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_vad_punc inference result: {0}".format(rec_result)) |
| | | |
| | | |
| | | if __name__ == '__main__': |
| | | unittest.main() |