镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-07 15:06:48 +00:00
"version": 3.48
这个提交包含在:
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import time, threading, json
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class AliyunASR():
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def test_on_sentence_begin(self, message, *args):
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# print("test_on_sentence_begin:{}".format(message))
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pass
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def test_on_sentence_end(self, message, *args):
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# print("test_on_sentence_end:{}".format(message))
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message = json.loads(message)
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self.parsed_sentence = message['payload']['result']
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self.event_on_entence_end.set()
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print(self.parsed_sentence)
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def test_on_start(self, message, *args):
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# print("test_on_start:{}".format(message))
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pass
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def test_on_error(self, message, *args):
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print("on_error args=>{}".format(args))
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pass
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def test_on_close(self, *args):
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self.aliyun_service_ok = False
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pass
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def test_on_result_chg(self, message, *args):
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# print("test_on_chg:{}".format(message))
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message = json.loads(message)
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self.parsed_text = message['payload']['result']
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self.event_on_result_chg.set()
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def test_on_completed(self, message, *args):
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# print("on_completed:args=>{} message=>{}".format(args, message))
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pass
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def audio_convertion_thread(self, uuid):
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# 在一个异步线程中采集音频
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import nls # pip install git+https://github.com/aliyun/alibabacloud-nls-python-sdk.git
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import tempfile
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from scipy import io
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from toolbox import get_conf
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from .audio_io import change_sample_rate
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from .audio_io import RealtimeAudioDistribution
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NEW_SAMPLERATE = 16000
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rad = RealtimeAudioDistribution()
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rad.clean_up()
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temp_folder = tempfile.gettempdir()
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TOKEN, APPKEY = get_conf('ALIYUN_TOKEN', 'ALIYUN_APPKEY')
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if len(TOKEN) == 0:
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TOKEN = self.get_token()
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self.aliyun_service_ok = True
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URL="wss://nls-gateway.aliyuncs.com/ws/v1"
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sr = nls.NlsSpeechTranscriber(
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url=URL,
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token=TOKEN,
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appkey=APPKEY,
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on_sentence_begin=self.test_on_sentence_begin,
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on_sentence_end=self.test_on_sentence_end,
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on_start=self.test_on_start,
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on_result_changed=self.test_on_result_chg,
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on_completed=self.test_on_completed,
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on_error=self.test_on_error,
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on_close=self.test_on_close,
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callback_args=[uuid.hex]
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)
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r = sr.start(aformat="pcm",
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enable_intermediate_result=True,
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enable_punctuation_prediction=True,
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enable_inverse_text_normalization=True)
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while not self.stop:
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# time.sleep(self.capture_interval)
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audio = rad.read(uuid.hex)
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if audio is not None:
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# convert to pcm file
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temp_file = f'{temp_folder}/{uuid.hex}.pcm' #
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dsdata = change_sample_rate(audio, rad.rate, NEW_SAMPLERATE) # 48000 --> 16000
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io.wavfile.write(temp_file, NEW_SAMPLERATE, dsdata)
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# read pcm binary
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with open(temp_file, "rb") as f: data = f.read()
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# print('audio len:', len(audio), '\t ds len:', len(dsdata), '\t need n send:', len(data)//640)
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slices = zip(*(iter(data),) * 640) # 640个字节为一组
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for i in slices: sr.send_audio(bytes(i))
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else:
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time.sleep(0.1)
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if not self.aliyun_service_ok:
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self.stop = True
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self.stop_msg = 'Aliyun音频服务异常,请检查ALIYUN_TOKEN和ALIYUN_APPKEY是否过期。'
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r = sr.stop()
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def get_token(self):
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from toolbox import get_conf
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import json
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from aliyunsdkcore.request import CommonRequest
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from aliyunsdkcore.client import AcsClient
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AccessKey_ID, AccessKey_secret = get_conf('ALIYUN_ACCESSKEY', 'ALIYUN_SECRET')
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# 创建AcsClient实例
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client = AcsClient(
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AccessKey_ID,
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AccessKey_secret,
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"cn-shanghai"
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)
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# 创建request,并设置参数。
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request = CommonRequest()
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request.set_method('POST')
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request.set_domain('nls-meta.cn-shanghai.aliyuncs.com')
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request.set_version('2019-02-28')
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request.set_action_name('CreateToken')
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try:
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response = client.do_action_with_exception(request)
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print(response)
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jss = json.loads(response)
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if 'Token' in jss and 'Id' in jss['Token']:
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token = jss['Token']['Id']
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expireTime = jss['Token']['ExpireTime']
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print("token = " + token)
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print("expireTime = " + str(expireTime))
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except Exception as e:
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print(e)
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return token
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@@ -0,0 +1,51 @@
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import numpy as np
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from scipy import interpolate
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def Singleton(cls):
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_instance = {}
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def _singleton(*args, **kargs):
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if cls not in _instance:
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_instance[cls] = cls(*args, **kargs)
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return _instance[cls]
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return _singleton
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@Singleton
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class RealtimeAudioDistribution():
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def __init__(self) -> None:
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self.data = {}
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self.max_len = 1024*1024
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self.rate = 48000 # 只读,每秒采样数量
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def clean_up(self):
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self.data = {}
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def feed(self, uuid, audio):
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self.rate, audio_ = audio
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# print('feed', len(audio_), audio_[-25:])
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if uuid not in self.data:
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self.data[uuid] = audio_
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else:
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new_arr = np.concatenate((self.data[uuid], audio_))
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if len(new_arr) > self.max_len: new_arr = new_arr[-self.max_len:]
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self.data[uuid] = new_arr
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def read(self, uuid):
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if uuid in self.data:
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res = self.data.pop(uuid)
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print('\r read-', len(res), '-', max(res), end='', flush=True)
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else:
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res = None
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return res
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def change_sample_rate(audio, old_sr, new_sr):
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duration = audio.shape[0] / old_sr
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time_old = np.linspace(0, duration, audio.shape[0])
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time_new = np.linspace(0, duration, int(audio.shape[0] * new_sr / old_sr))
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interpolator = interpolate.interp1d(time_old, audio.T)
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new_audio = interpolator(time_new).T
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return new_audio.astype(np.int16)
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