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| | | import paraformer_pb2_grpc |
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| | | import time |
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| | | from paraformer_pb2 import Response |
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| | | from modelscope.pipelines import pipeline |
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| | | from modelscope.utils.constant import Tasks |
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| | | inference_16k_pipline = pipeline( |
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| | | task=Tasks.auto_speech_recognition, |
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| | | model='damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8358-tensorflow1') |
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| | | |
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| | | auth_user = ['zksz_futureTV_1','zksz_dangaomei_1','zksz_test_1','zksz_test_2','zksz_test_3','zksz_test_4','zksz_test_5','zksz_test_6','zksz_test_7'] |
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| | | |
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| | | class ASRServicer(paraformer_pb2_grpc.ASRServicer): |
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| | | def __init__(self): |
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| | | def __init__(self, user_allowed, model, sample_rate): |
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| | | print("ASRServicer init") |
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| | | self.init_flag = 0 |
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| | | self.client_buffers = {} |
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| | | self.client_transcription = {} |
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| | | self.auth_user = user_allowed.split("|") |
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| | | self.inference_16k_pipline = pipeline(task=Tasks.auto_speech_recognition, model=model) |
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| | | self.sample_rate = sample_rate |
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| | | |
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| | | def clear_states(self, user): |
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| | | self.clear_buffers(user) |
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| | | |
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| | | for req in request_iterator: |
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| | | if req.user not in auth_user: |
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| | | if req.user not in self.auth_user: |
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| | | result = {} |
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| | | result["success"] = False |
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| | | result["detail"] = "Not Authorized user: %s " % req.user |
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| | | result["text"] = "" |
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| | | yield Response(sentence=json.dumps(result), user=req.user, action="terminate", language=req.language) |
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| | | if req.isEnd: #end grpc |
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| | | elif req.isEnd: #end grpc |
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| | | print("asr end") |
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| | | self.disconnect(req.user) |
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| | | result = {} |
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| | |
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| | | yield Response(sentence=json.dumps(result), user=req.user, action="waiting", language=req.language) |
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| | | else: |
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| | | begin_time = int(round(time.time() * 1000)) |
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| | | tmp_data = self.client_buffers[req.user] #TODO make a test, about local variable in class parralle circumstance. |
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| | | tmp_data = self.client_buffers[req.user] |
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| | | self.clear_states(req.user) |
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| | | result = {} |
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| | | result["success"] = True |
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| | |
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| | | print ("user: %s , delay(ms): %s, error: %s " % (req.user, delay_str, "data_is_not_long_enough")) |
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| | | yield Response(sentence=json.dumps(result), user=req.user, action="finish", language=req.language) |
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| | | else: |
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| | | asr_result = inference_16k_pipline(audio_in=tmp_data, audio_fs = 16000) |
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| | | asr_result = self.inference_16k_pipline(audio_in=tmp_data, audio_fs = self.sample_rate) |
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| | | if "text" in asr_result: |
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| | | asr_result = asr_result['text'] |
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| | | else: |
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