会议助手——实时语音识别,翻译及GPT Answer
由于时效问题,该文某些代码、技术可能已经过期,请注意!!!本文最后更新于:7 个月前
大模型提升会议效率
语音识别组件: react-speech-kit, 项目地址:https://github.com/MikeyParton/react-speech-kit
翻译api参考: https://blog.zhuanjie.ltd/2023/10/05/api-with-cloudflare/
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| import os import azure.cognitiveservices.speech as speechsdk from sparkdesk_api.core import SparkAPI
sparkAPI = SparkAPI( app_id='9829fafe', api_secret='******', api_key='******', # version=3.1 )
from zhipuai import ZhipuAI client = ZhipuAI(api_key="****") # 请填写您自己的APIKey
def chatglm(message): response = client.chat.completions.create( model="glm-4", # 填写需要调用的模型名称 messages=[ {"role": "user", "content": message}, ], stream=False, ) print(response.choices[0].message.content)
def chatSpark(message): ai_reply = sparkAPI.chat(message) print(ai_reply)
speech_key, service_region = "f739afd4250b410aaedca2967c1a78f1", "eastus" speech_config = speechsdk.SpeechConfig(subscription=speech_key, region=service_region,speech_recognition_language="zh-cn")
speech_recognizer = speechsdk.SpeechRecognizer(speech_config=speech_config)
def chatSpark(message): ai_reply = sparkAPI.chat(message) print(ai_reply)
text_ls = []
def recognized_callback(evt): if evt.result.text: print("Recognized: {}".format(evt.result.text)) text_ls.append(evt.result.text) chatSpark(evt.result.text) if "退出" in evt.result.text.lower(): print('byebye') os._exit(0) # speech_recognizer.stop_continuous_recognition()
def cancelled_callback(evt): print("Cancelled: {}".format(evt.result.error_details))
speech_recognizer = speechsdk.SpeechRecognizer(speech_config=speech_config) speech_recognizer.recognized.connect(recognized_callback) speech_recognizer.session_stopped.connect(cancelled_callback)
print("Say something...") speech_recognizer.start_continuous_recognition()
while True: pass
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