| | |
|---|
| | | |
|---|
| | | from modelscope.pipelines import pipeline |
|---|
| | | from modelscope.utils.constant import Tasks |
|---|
| | | from modelscope.utils.logger import get_logger |
|---|
| | | import logging |
|---|
| | | logger = get_logger(log_level=logging.CRITICAL) |
|---|
| | | logger.setLevel(logging.CRITICAL) |
|---|
| | | |
|---|
| | | inference_pipline = pipeline( |
|---|
| | | |
|---|
| | | inference_pipeline = pipeline( |
|---|
| | | task=Tasks.punctuation, |
|---|
| | | model='damo/punc_ct-transformer_zh-cn-common-vad_realtime-vocab272727', |
|---|
| | | model_revision="v1.0.0", |
|---|
| | | output_dir="./tmp/" |
|---|
| | | ) |
|---|
| | | |
|---|
| | | vads = inputs.split("|") |
|---|
| | | |
|---|
| | | cache_out = [] |
|---|
| | | rec_result_all="outputs:" |
|---|
| | | param_dict = {"cache": []} |
|---|
| | | for vad in vads: |
|---|
| | | rec_result = inference_pipline(text_in=vad, cache=cache_out) |
|---|
| | | #print(rec_result) |
|---|
| | | cache_out = rec_result['cache'] |
|---|
| | | rec_result = inference_pipeline(text_in=vad, param_dict=param_dict) |
|---|
| | | rec_result_all += rec_result['text'] |
|---|
| | | |
|---|
| | | print(rec_result_all) |
|---|
