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https://github.com/zhayujie/chatgpt-on-wechat.git
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210 lines
8.4 KiB
Python
210 lines
8.4 KiB
Python
# -*- coding:utf-8 -*-
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#
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# Author: njnuko
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# Email: njnuko@163.com
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#
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# 这个文档是基于官方的demo来改的，固体官方demo文档请参考官网
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#
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# 语音听写流式 WebAPI 接口调用示例 接口文档（必看）：https://doc.xfyun.cn/rest_api/语音听写（流式版）.html
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# webapi 听写服务参考帖子（必看）：http://bbs.xfyun.cn/forum.php?mod=viewthread&tid=38947&extra=
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# 语音听写流式WebAPI 服务，热词使用方式：登陆开放平台https://www.xfyun.cn/后，找到控制台--我的应用---语音听写（流式）---服务管理--个性化热词，
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# 设置热词
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# 注意：热词只能在识别的时候会增加热词的识别权重，需要注意的是增加相应词条的识别率，但并不是绝对的，具体效果以您测试为准。
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# 语音听写流式WebAPI 服务，方言试用方法：登陆开放平台https://www.xfyun.cn/后，找到控制台--我的应用---语音听写（流式）---服务管理--识别语种列表
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# 可添加语种或方言，添加后会显示该方言的参数值
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# 错误码链接：https://www.xfyun.cn/document/error-code （code返回错误码时必看）
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# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
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import websocket
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import datetime
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import hashlib
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import base64
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import hmac
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import json
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from urllib.parse import urlencode
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import time
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import ssl
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from wsgiref.handlers import format_date_time
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from datetime import datetime
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from time import mktime
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import _thread as thread
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import os
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import wave
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STATUS_FIRST_FRAME = 0 # 第一帧的标识
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STATUS_CONTINUE_FRAME = 1 # 中间帧标识
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STATUS_LAST_FRAME = 2 # 最后一帧的标识
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#############
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#whole_dict 是用来存储返回值的，由于带语音修正，所以用dict来存储，有更新的化pop之前的值，最后再合并
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global whole_dict
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#这个文档是官方文档改的，这个参数是用来做函数调用时用的
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global wsParam
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##############
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class Ws_Param(object):
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# 初始化
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def __init__(self, APPID, APIKey, APISecret,BusinessArgs, AudioFile):
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self.APPID = APPID
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self.APIKey = APIKey
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self.APISecret = APISecret
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self.AudioFile = AudioFile
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self.BusinessArgs = BusinessArgs
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# 公共参数(common)
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self.CommonArgs = {"app_id": self.APPID}
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# 业务参数(business)，更多个性化参数可在官网查看
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#self.BusinessArgs = {"domain": "iat", "language": "zh_cn", "accent": "mandarin", "vinfo":1,"vad_eos":10000}
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# 生成url
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def create_url(self):
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url = 'wss://ws-api.xfyun.cn/v2/iat'
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# 生成RFC1123格式的时间戳
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now = datetime.now()
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date = format_date_time(mktime(now.timetuple()))
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# 拼接字符串
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signature_origin = "host: " + "ws-api.xfyun.cn" + "\n"
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signature_origin += "date: " + date + "\n"
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signature_origin += "GET " + "/v2/iat " + "HTTP/1.1"
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# 进行hmac-sha256进行加密
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signature_sha = hmac.new(self.APISecret.encode('utf-8'), signature_origin.encode('utf-8'),
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digestmod=hashlib.sha256).digest()
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signature_sha = base64.b64encode(signature_sha).decode(encoding='utf-8')
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authorization_origin = "api_key=\"%s\", algorithm=\"%s\", headers=\"%s\", signature=\"%s\"" % (
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self.APIKey, "hmac-sha256", "host date request-line", signature_sha)
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authorization = base64.b64encode(authorization_origin.encode('utf-8')).decode(encoding='utf-8')
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# 将请求的鉴权参数组合为字典
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v = {
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"authorization": authorization,
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"date": date,
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"host": "ws-api.xfyun.cn"
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}
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# 拼接鉴权参数，生成url
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url = url + '?' + urlencode(v)
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#print("date: ",date)
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#print("v: ",v)
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# 此处打印出建立连接时候的url,参考本demo的时候可取消上方打印的注释，比对相同参数时生成的url与自己代码生成的url是否一致
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#print('websocket url :', url)
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return url
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# 收到websocket消息的处理
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def on_message(ws, message):
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global whole_dict
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try:
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code = json.loads(message)["code"]
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sid = json.loads(message)["sid"]
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if code != 0:
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errMsg = json.loads(message)["message"]
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print("sid:%s call error:%s code is:%s" % (sid, errMsg, code))
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else:
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temp1 = json.loads(message)["data"]["result"]
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data = json.loads(message)["data"]["result"]["ws"]
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sn = temp1["sn"]
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if "rg" in temp1.keys():
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rep = temp1["rg"]
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rep_start = rep[0]
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rep_end = rep[1]
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for sn in range(rep_start,rep_end+1):
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#print("before pop",whole_dict)
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#print("sn",sn)
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whole_dict.pop(sn,None)
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#print("after pop",whole_dict)
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results = ""
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for i in data:
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for w in i["cw"]:
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results += w["w"]
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whole_dict[sn]=results
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#print("after add",whole_dict)
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else:
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results = ""
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for i in data:
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for w in i["cw"]:
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results += w["w"]
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whole_dict[sn]=results
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#print("sid:%s call success!,data is:%s" % (sid, json.dumps(data, ensure_ascii=False)))
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except Exception as e:
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print("receive msg,but parse exception:", e)
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# 收到websocket错误的处理
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def on_error(ws, error):
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print("### error:", error)
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# 收到websocket关闭的处理
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def on_close(ws,a,b):
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print("### closed ###")
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# 收到websocket连接建立的处理
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def on_open(ws):
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global wsParam
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def run(*args):
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frameSize = 8000 # 每一帧的音频大小
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intervel = 0.04 # 发送音频间隔(单位:s)
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status = STATUS_FIRST_FRAME # 音频的状态信息，标识音频是第一帧，还是中间帧、最后一帧
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with wave.open(wsParam.AudioFile, "rb") as fp:
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while True:
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buf = fp.readframes(frameSize)
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# 文件结束
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if not buf:
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status = STATUS_LAST_FRAME
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# 第一帧处理
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# 发送第一帧音频，带business 参数
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# appid 必须带上，只需第一帧发送
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if status == STATUS_FIRST_FRAME:
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d = {"common": wsParam.CommonArgs,
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"business": wsParam.BusinessArgs,
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"data": {"status": 0, "format": "audio/L16;rate=16000","audio": str(base64.b64encode(buf), 'utf-8'), "encoding": "raw"}}
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d = json.dumps(d)
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ws.send(d)
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status = STATUS_CONTINUE_FRAME
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# 中间帧处理
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elif status == STATUS_CONTINUE_FRAME:
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d = {"data": {"status": 1, "format": "audio/L16;rate=16000",
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"audio": str(base64.b64encode(buf), 'utf-8'),
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"encoding": "raw"}}
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ws.send(json.dumps(d))
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# 最后一帧处理
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elif status == STATUS_LAST_FRAME:
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d = {"data": {"status": 2, "format": "audio/L16;rate=16000",
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"audio": str(base64.b64encode(buf), 'utf-8'),
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"encoding": "raw"}}
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ws.send(json.dumps(d))
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time.sleep(1)
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break
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# 模拟音频采样间隔
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time.sleep(intervel)
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ws.close()
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thread.start_new_thread(run, ())
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#提供给xunfei_voice调用的函数
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def xunfei_asr(APPID,APISecret,APIKey,BusinessArgsASR,AudioFile):
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global whole_dict
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global wsParam
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whole_dict = {}
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wsParam1 = Ws_Param(APPID=APPID, APISecret=APISecret,
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APIKey=APIKey,BusinessArgs=BusinessArgsASR,
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AudioFile=AudioFile)
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#wsParam是global变量，给上面on_open函数调用使用的
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wsParam = wsParam1
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websocket.enableTrace(False)
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wsUrl = wsParam.create_url()
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ws = websocket.WebSocketApp(wsUrl, on_message=on_message, on_error=on_error, on_close=on_close)
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ws.on_open = on_open
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ws.run_forever(sslopt={"cert_reqs": ssl.CERT_NONE})
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#把字典的值合并起来做最后识别的输出
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whole_words = ""
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for i in sorted(whole_dict.keys()):
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whole_words += whole_dict[i]
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return whole_words
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