| | |
| | | ) |
| | | inputs = "./egs_modelscope/punctuation/punc_ct-transformer_zh-cn-common-vocab272727-pytorch/data/punc_example.txt" |
| | | rec_result = inference_pipeline(text_in=inputs) |
| | | logger.info("asr inference result: {0}".format(rec_result)) |
| | | logger.info("punctuation inference result: {0}".format(rec_result)) |
| | | |
| | | def test_vadrealtime_inference_pipeline(self): |
| | | inference_pipeline = pipeline( |
| | |
| | | rec_result = inference_pipeline(text_in=vad, cache=cache_out) |
| | | cache_out = rec_result['cache'] |
| | | rec_result_all += rec_result['text'] |
| | | logger.info("asr inference result: {0}".format(rec_result_all)) |
| | | logger.info("punctuation inference result: {0}".format(rec_result_all)) |
| | | |
| | | |
| | | if __name__ == '__main__': |