update tips for wait_for_more_voice

huangmingming

2023-01-30 b40127f9b86f7b49596e06010fedc22e04eb61af

update tips for wait_for_more_voice

 funasr/runtime/python/grpc/grpc_main_client_mic.py

@@ -44,8 +44,7 @@
                    #print ("silence, end_time: %d " % end_time)
                    print ("delay in ms: %d " % (end_time - begin_time))
                else:
                    #debug
                    print (resp.action + " " + str(json.loads(resp.sentence)))
                    #print (resp.action + " " + str(json.loads(resp.sentence)))
                    pass
        


 funasr/runtime/python/grpc/grpc_server.py

@@ -69,7 +69,7 @@
                if req.user not in self.client_buffers:
                    result = {}
                    result["success"] = True
                    result["detail"] = "waiting_for_voice"
                    result["detail"] = "waiting_for_more_voice"
                    result["text"] = ""
                    yield Response(sentence=json.dumps(result), user=req.user, action="waiting", language=req.language)
                else:
@@ -86,11 +86,11 @@
                        delay_str = str(end_time - begin_time)
                        result = {}
                        result["success"] = True
                        result["detail"] = "finish_sentence_data_is_not_long_enough"
                        result["detail"] = "waiting_for_more_voice"
                        result["server_delay_ms"] = delay_str
                        result["text"] = ""
                        print ("user: %s , delay(ms): %s, error: %s " % (req.user, delay_str, "data_is_not_long_enough"))
                        yield Response(sentence=json.dumps(result), user=req.user, action="finish", language=req.language)
                        print ("user: %s , delay(ms): %s, info: %s " % (req.user, delay_str, "waiting_for_more_voice"))
                        yield Response(sentence=json.dumps(result), user=req.user, action="waiting", language=req.language)
                    else:                           
                        asr_result = self.inference_16k_pipeline(audio_in=tmp_data, audio_fs = self.sample_rate)
                        if "text" in asr_result: