mirror of
https://github.com/zhayujie/chatgpt-on-wechat.git
synced 2026-03-18 04:25:14 +08:00
210 lines
8.4 KiB
Python
210 lines
8.4 KiB
Python
# -*- coding:utf-8 -*-
|
||
#
|
||
# Author: njnuko
|
||
# Email: njnuko@163.com
|
||
#
|
||
# 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
|
||
#
|
||
# 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
|
||
# webapi 听写服务参考帖子（必看）：http://bbs.xfyun.cn/forum.php?mod=viewthread&tid=38947&extra=
|
||
# 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，
|
||
# 设置热词
|
||
# 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。
|
||
# 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
|
||
# 可添加语种或方言，添加后会显示该方言的参数值
|
||
# 错误码链接：https://www.xfyun.cn/document/error-code （code返回错误码时必看）
|
||
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
|
||
|
||
import websocket
|
||
import datetime
|
||
import hashlib
|
||
import base64
|
||
import hmac
|
||
import json
|
||
from urllib.parse import urlencode
|
||
import time
|
||
import ssl
|
||
from wsgiref.handlers import format_date_time
|
||
from datetime import datetime
|
||
from time import mktime
|
||
import _thread as thread
|
||
import os
|
||
import wave
|
||
|
||
|
||
STATUS_FIRST_FRAME = 0 # 第一帧的标识
|
||
STATUS_CONTINUE_FRAME = 1 # 中间帧标识
|
||
STATUS_LAST_FRAME = 2 # 最后一帧的标识
|
||
|
||
#############
|
||
#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
|
||
global whole_dict
|
||
#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
|
||
global wsParam
|
||
##############
|
||
|
||
|
||
class Ws_Param(object):
|
||
# 初始化
|
||
def __init__(self, APPID, APIKey, APISecret,BusinessArgs, AudioFile):
|
||
self.APPID = APPID
|
||
self.APIKey = APIKey
|
||
self.APISecret = APISecret
|
||
self.AudioFile = AudioFile
|
||
self.BusinessArgs = BusinessArgs
|
||
# 公共参数(common)
|
||
self.CommonArgs = {"app_id": self.APPID}
|
||
# 业务参数(business)，更多个性化参数可在官网查看
|
||
#self.BusinessArgs = {"domain": "iat", "language": "zh_cn", "accent": "mandarin", "vinfo":1,"vad_eos":10000}
|
||
|
||
# 生成url
|
||
def create_url(self):
|
||
url = 'wss://ws-api.xfyun.cn/v2/iat'
|
||
# 生成RFC1123格式的时间戳
|
||
now = datetime.now()
|
||
date = format_date_time(mktime(now.timetuple()))
|
||
|
||
# 拼接字符串
|
||
signature_origin = "host: " + "ws-api.xfyun.cn" + "\n"
|
||
signature_origin += "date: " + date + "\n"
|
||
signature_origin += "GET " + "/v2/iat " + "HTTP/1.1"
|
||
# 进行hmac-sha256进行加密
|
||
signature_sha = hmac.new(self.APISecret.encode('utf-8'), signature_origin.encode('utf-8'),
|
||
digestmod=hashlib.sha256).digest()
|
||
signature_sha = base64.b64encode(signature_sha).decode(encoding='utf-8')
|
||
|
||
authorization_origin = "api_key=\"%s\", algorithm=\"%s\", headers=\"%s\", signature=\"%s\"" % (
|
||
self.APIKey, "hmac-sha256", "host date request-line", signature_sha)
|
||
authorization = base64.b64encode(authorization_origin.encode('utf-8')).decode(encoding='utf-8')
|
||
# 将请求的鉴权参数组合为字典
|
||
v = {
|
||
"authorization": authorization,
|
||
"date": date,
|
||
"host": "ws-api.xfyun.cn"
|
||
}
|
||
# 拼接鉴权参数，生成url
|
||
url = url + '?' + urlencode(v)
|
||
#print("date: ",date)
|
||
#print("v: ",v)
|
||
# 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
|
||
#print('websocket url :', url)
|
||
return url
|
||
|
||
|
||
# 收到websocket消息的处理
|
||
def on_message(ws, message):
|
||
global whole_dict
|
||
try:
|
||
code = json.loads(message)["code"]
|
||
sid = json.loads(message)["sid"]
|
||
if code != 0:
|
||
errMsg = json.loads(message)["message"]
|
||
print("sid:%s call error:%s code is:%s" % (sid, errMsg, code))
|
||
else:
|
||
temp1 = json.loads(message)["data"]["result"]
|
||
data = json.loads(message)["data"]["result"]["ws"]
|
||
sn = temp1["sn"]
|
||
if "rg" in temp1.keys():
|
||
rep = temp1["rg"]
|
||
rep_start = rep[0]
|
||
rep_end = rep[1]
|
||
for sn in range(rep_start,rep_end+1):
|
||
print("before pop",whole_dict)
|
||
print("sn",sn)
|
||
whole_dict.pop(sn,None)
|
||
print("after pop",whole_dict)
|
||
results = ""
|
||
for i in data:
|
||
for w in i["cw"]:
|
||
results += w["w"]
|
||
whole_dict[sn]=results
|
||
print("after add",whole_dict)
|
||
else:
|
||
results = ""
|
||
for i in data:
|
||
for w in i["cw"]:
|
||
results += w["w"]
|
||
whole_dict[sn]=results
|
||
print("sid:%s call success!,data is:%s" % (sid, json.dumps(data, ensure_ascii=False)))
|
||
except Exception as e:
|
||
print("receive msg,but parse exception:", e)
|
||
|
||
|
||
|
||
# 收到websocket错误的处理
|
||
def on_error(ws, error):
|
||
print("### error:", error)
|
||
|
||
|
||
# 收到websocket关闭的处理
|
||
def on_close(ws,a,b):
|
||
print("### closed ###")
|
||
|
||
|
||
# 收到websocket连接建立的处理
|
||
def on_open(ws):
|
||
global wsParam
|
||
def run(*args):
|
||
frameSize = 8000 # 每一帧的音频大小
|
||
intervel = 0.04 # 发送音频间隔(单位:s)
|
||
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
|
||
|
||
with wave.open(wsParam.AudioFile, "rb") as fp:
|
||
while True:
|
||
buf = fp.readframes(frameSize)
|
||
# 文件结束
|
||
if not buf:
|
||
status = STATUS_LAST_FRAME
|
||
# 第一帧处理
|
||
# 发送第一帧音频，带business 参数
|
||
# appid 必须带上，只需第一帧发送
|
||
if status == STATUS_FIRST_FRAME:
|
||
d = {"common": wsParam.CommonArgs,
|
||
"business": wsParam.BusinessArgs,
|
||
"data": {"status": 0, "format": "audio/L16;rate=16000","audio": str(base64.b64encode(buf), 'utf-8'), "encoding": "raw"}}
|
||
d = json.dumps(d)
|
||
ws.send(d)
|
||
status = STATUS_CONTINUE_FRAME
|
||
# 中间帧处理
|
||
elif status == STATUS_CONTINUE_FRAME:
|
||
d = {"data": {"status": 1, "format": "audio/L16;rate=16000",
|
||
"audio": str(base64.b64encode(buf), 'utf-8'),
|
||
"encoding": "raw"}}
|
||
ws.send(json.dumps(d))
|
||
# 最后一帧处理
|
||
elif status == STATUS_LAST_FRAME:
|
||
d = {"data": {"status": 2, "format": "audio/L16;rate=16000",
|
||
"audio": str(base64.b64encode(buf), 'utf-8'),
|
||
"encoding": "raw"}}
|
||
ws.send(json.dumps(d))
|
||
time.sleep(1)
|
||
break
|
||
# 模拟音频采样间隔
|
||
time.sleep(intervel)
|
||
ws.close()
|
||
|
||
thread.start_new_thread(run, ())
|
||
|
||
#提供给xunfei_voice调用的函数
|
||
def xunfei_asr(APPID,APISecret,APIKey,BusinessArgsASR,AudioFile):
|
||
global whole_dict
|
||
global wsParam
|
||
whole_dict = {}
|
||
wsParam1 = Ws_Param(APPID=APPID, APISecret=APISecret,
|
||
APIKey=APIKey,BusinessArgs=BusinessArgsASR,
|
||
AudioFile=AudioFile)
|
||
#wsParam是global变量，给上面on_open函数调用使用的
|
||
wsParam = wsParam1
|
||
websocket.enableTrace(True)
|
||
wsUrl = wsParam.create_url()
|
||
ws = websocket.WebSocketApp(wsUrl, on_message=on_message, on_error=on_error, on_close=on_close)
|
||
ws.on_open = on_open
|
||
ws.run_forever(sslopt={"cert_reqs": ssl.CERT_NONE})
|
||
#把字典的值合并起来做最后识别的输出
|
||
whole_words = ""
|
||
for i in sorted(whole_dict.keys()):
|
||
whole_words += whole_dict[i]
|
||
return whole_words
|
||
|
||
|