from concurrent import futures
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import grpc
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import json
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import time
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from modelscope.pipelines import pipeline
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from modelscope.utils.constant import Tasks
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import paraformer_pb2_grpc
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from paraformer_pb2 import Response
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class ASRServicer(paraformer_pb2_grpc.ASRServicer):
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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_pipeline = pipeline(task=Tasks.auto_speech_recognition, model=model)
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self.sample_rate = sample_rate
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def clear_states(self, user):
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self.clear_buffers(user)
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self.clear_transcriptions(user)
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def clear_buffers(self, user):
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if user in self.client_buffers:
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del self.client_buffers[user]
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def clear_transcriptions(self, user):
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if user in self.client_transcription:
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del self.client_transcription[user]
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def disconnect(self, user):
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self.clear_states(user)
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print("Disconnecting user: %s" % str(user))
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def Recognize(self, request_iterator, context):
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for req in request_iterator:
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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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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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result["success"] = True
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result["detail"] = "asr end"
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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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elif req.speaking: #continue speaking
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if req.audio_data is not None and len(req.audio_data) > 0:
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if req.user in self.client_buffers:
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self.client_buffers[req.user] += req.audio_data #append audio
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else:
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self.client_buffers[req.user] = req.audio_data
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result = {}
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result["success"] = True
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result["detail"] = "speaking"
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result["text"] = ""
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yield Response(sentence=json.dumps(result), user=req.user, action="speaking", language=req.language)
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elif not req.speaking: #silence
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if req.user not in self.client_buffers:
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result = {}
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result["success"] = True
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result["detail"] = "waiting_for_more_voice"
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result["text"] = ""
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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]
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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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result["detail"] = "decoding data: %d bytes" % len(tmp_data)
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result["text"] = ""
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yield Response(sentence=json.dumps(result), user=req.user, action="decoding", language=req.language)
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if len(tmp_data) < 9600: #min input_len for asr model , 300ms
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end_time = int(round(time.time() * 1000))
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delay_str = str(end_time - begin_time)
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result = {}
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result["success"] = True
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result["detail"] = "waiting_for_more_voice"
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result["server_delay_ms"] = delay_str
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result["text"] = ""
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print ("user: %s , delay(ms): %s, info: %s " % (req.user, delay_str, "waiting_for_more_voice"))
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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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asr_result = self.inference_16k_pipeline(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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asr_result = ""
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end_time = int(round(time.time() * 1000))
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delay_str = str(end_time - begin_time)
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print ("user: %s , delay(ms): %s, text: %s " % (req.user, delay_str, asr_result))
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result = {}
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result["success"] = True
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result["detail"] = "finish_sentence"
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result["server_delay_ms"] = delay_str
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result["text"] = asr_result
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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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result = {}
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result["success"] = False
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result["detail"] = "error, no condition matched! Unknown reason."
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result["text"] = ""
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self.disconnect(req.user)
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yield Response(sentence=json.dumps(result), user=req.user, action="terminate", language=req.language)
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