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from modelscope.pipelines import pipeline
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from modelscope.utils.constant import Tasks
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inference_pipeline = pipeline(
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task=Tasks.punctuation,
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model='damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch',
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model_revision="v1.1.7",
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output_dir="./tmp/"
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)
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##################text.scp###################
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# inputs = "./egs_modelscope/punctuation/punc_ct-transformer_zh-cn-common-vocab272727-pytorch/data/punc_example.txt"
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##################text#####################
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#inputs = "我们都是木头人不会讲话不会动"
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##################text file url#######################
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inputs = "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_text/punc_example.txt"
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rec_result = inference_pipeline(text_in=inputs)
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print(rec_result)
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