import unittest
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from modelscope.pipelines import pipeline
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from modelscope.utils.constant import Tasks
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from modelscope.utils.logger import get_logger
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logger = get_logger()
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class TestParaformerInferencePipelines(unittest.TestCase):
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def test_funasr_path(self):
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import funasr
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import os
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logger.info("run_dir:{0} ; funasr_path: {1}".format(os.getcwd(), funasr.__file__))
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def test_inference_pipeline(self):
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch',
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model_revision="v1.2.1",
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vad_model='damo/speech_fsmn_vad_zh-cn-16k-common-pytorch',
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vad_model_revision="v1.1.8",
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punc_model='damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch',
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punc_model_revision="v1.1.6",
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ngpu=1,
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)
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rec_result = inference_pipeline(
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audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav')
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logger.info("asr_vad_punc inference result: {0}".format(rec_result))
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assert rec_result["text"] == "欢迎大家来体验达摩院推出的语音识别模型。"
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if __name__ == '__main__':
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unittest.main()
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