基础使用

提前下载模型

通过modelscope提取下载模型

cd ~/.cache/modelscope/hub/models

pip install modelscope
modelscope download --model iic/punc_ct-transformer_cn-en-common-vocab471067-large --local_dir ./iic/punc_ct-transformer_cn-en-common-vocab471067-large
modelscope download --model iic/speech_fsmn_vad_zh-cn-16k-common-pytorch --local_dir ./iic/speech_fsmn_vad_zh-cn-16k-common-pytorch
modelscope download --model iic/speech_campplus_sv_zh-cn_16k-common --local_dir ./iic/speech_campplus_sv_zh-cn_16k-common
modelscope download --model iic/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch --local_dir ./iic/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch

使用

./docker-manager.sh deploy

测试

使用本地音频文件进行测试

# 完整路径
curl --location --request POST 'http://localhost:8000/transcribe/file' \
--form 'file=@"/Users/apple/py_workspace/wav_parse/audio_files/asr_speaker_demo.wav"'

# 相对路径,注意这2行的区别
curl --location --request POST 'http://localhost:8000/transcribe/file' \
--form 'file=@"audio_files/asr_speaker_demo.wav"'