Merge pull request #288 from alibaba-damo-academy/dev_gzf

zhifu gao

2023-03-23 4e44c9f46e550eab4ec6b70c099dcdae44eb9d61

 funasr/runtime/python/websocket/ASR_server.py

@@ -53,7 +53,7 @@
inference_pipeline_vad = pipeline(
    task=Tasks.voice_activity_detection,
    model=args.vad_model,
    model_revision="v1.2.0",
    model_revision=None,
    output_dir=None,
    batch_size=1,
    mode='online',
@@ -62,7 +62,7 @@
param_dict_vad = {'in_cache': dict(), "is_final": False}
  
# asr
param_dict_asr = dict()
param_dict_asr = {}
# param_dict["hotword"] = "小五 小五月"  # 设置热词，用空格隔开
inference_pipeline_asr = pipeline(
    task=Tasks.auto_speech_recognition,
@@ -70,13 +70,16 @@
    param_dict=param_dict_asr,
    ngpu=args.ngpu,
)

inference_pipline_punc = pipeline(
    task=Tasks.punctuation,
    model=args.punc_model,
    model_revision="v1.0.1",
    ngpu=args.ngpu,
)
if args.punc_model is not None:
    param_dict_punc = {'cache': list()}
    inference_pipeline_punc = pipeline(
        task=Tasks.punctuation,
        model=args.punc_model,
        model_revision=None,
        ngpu=args.ngpu,
    )
else:
    inference_pipeline_punc = None

print("model loaded")

@@ -116,13 +119,16 @@

def asr():  # 推理
    global inference_pipeline2
    global speek
    global speek, param_dict_punc
    while True:
        while not speek.empty():
            audio_in = speek.get()
            speek.task_done()
            rec_result = inference_pipeline_asr(audio_in=audio_in)
            print(rec_result)
            if len(audio_in) > 0:
                rec_result = inference_pipeline_asr(audio_in=audio_in)
                if inference_pipeline_punc is not None and 'text' in rec_result:
                    rec_result = inference_pipeline_punc(text_in=rec_result['text'], param_dict=param_dict_punc)
                print(rec_result["text"])
            time.sleep(0.1)
        time.sleep(0.1)