python免费的实时语音交互（讯飞语音识别+青云客Robot）
须知：
py文件中的库，需要自己去pip，
其中有个pyaudio的库也许会安装失败，老是报错。我刚开始也费了半天时间才安装好的。安装报错的话，可以去官网下载一个wheel文件，找到对应的版本下载，下载之后再按路径pip
如果还是出错的话，就把那个wheel文件名中的第二个‘cp38’（我下载的是38）改为none
例：原本是“PyAudio-0.2.11-cp38-cp38-win_amd64.whl”
改为“PyAudio-0.2.11-cp38-none-win_amd64.whl”
再安装即可
py文件中的url和api接口、key等数据要去官网注册领取相应的接口（免费）【py文件中的注释语句中有写是哪个官网的】
直接运行这个py文件是不行的，你需要把你自己的api写上去，py文件中的接口api是我自己的，我修改了后五位，你用不了的。
语音识别是用 讯飞的
智能机器人回复是调用 青云客机器人【这个接口我没改】。
这个py我是有自定义些问题的，你们可以根据自己的需求改一下自己的问题和要回答的话【在question数组中】
前面一个是问题，后面一个是回答。
这个是我由于当时时间紧迫大致随意写了一下，当然你也可以自己参考青云客官方文档去改进优化代码。GitHub代码连接：GitHub - superzhangjc/python-Voice_chatContribute to superzhangjc/python-Voice_chat development by creating an account on GitHub.
https://github.com/superzhangjc/python-Voice_chat
直接上代码！
import pyttsx3
import websocket
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 pyaudio
import sys
import requests
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
question = ['where are you from?','China']
class Ws_Param(object):
# 初始化
def __init__(self, APPID, APIKey, APISecret):
self.APPID = APPID
self.APIKey = APIKey
self.APISecret = APISecret
# 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):
result = ''
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:
data = json.loads(message)["data"]["result"]["ws"]
for i in data:
for w in i["cw"]:
result += w["w"]
if result == '。' or result=='？' or result=='，':
result = ''
pass
if result == "再见" or result == "退出":
print("用户："+result)
sys.exit()
elif result in question:
print ( "用户: %s" % (result) )
# reply是机器人回答的话
reply = question[question.index ( result ) + 1]
else:
print("用户: %s" % (result))
# 根据语音识别文字给出智能回答
#此处是青云客的智能机器人api
url = "http://api.qingyunke.com/api.php?key=free&appid=0&msg=" + result
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 \
(KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36 QIHU 360SE',
'Host': 'api.qingyunke.com'
}
response = requests.get ( url, headers=headers )
reply = json.loads ( response.text )['content'].replace ( '{br}', '/n' )
except Exception as e:
print("receive msg,but parse exception:", e)
#输出回答
print ( "机器人:" + reply )
# 语音合成
# 初始化语音
engine = pyttsx3.init ()
# 设置语速
rate = engine.getProperty ( 'rate' )
engine.setProperty ( 'rate', rate - 50 )
# 输出语音
engine.say ( reply ) # 合成语音
engine.runAndWait ()
# 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):
pass
# print("### closed ###")
# 收到websocket连接建立的处理
def on_open(ws):
def run(*args):
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
CHUNK = 520 # 定义数据流块
FORMAT = pyaudio.paInt16 # 16bit编码格式
CHANNELS = 1 # 单声道
RATE = 16000 # 16000采样频率
p = pyaudio.PyAudio()
# 创建音频流
stream = p.open(format=FORMAT, # 音频流wav格式
channels=CHANNELS, # 单声道
rate=RATE, # 采样率16000
input=True,
frames_per_buffer=CHUNK)
print("- - - - - - - Start Recording ...- - - - - - - ")
for i in range(0,int(RATE/CHUNK*60)):
buf = stream.read(CHUNK)
if not buf:
status = STATUS_LAST_FRAME
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
stream.stop_stream()
stream.close()
p.terminate()
ws.close()
thread.start_new_thread(run,())
# def run():
if __name__ == "__main__":
# global wsParam
#此处是讯飞语音的api接口
wsParam = Ws_Param(APPID='03bxxxxx', APIKey='714f58a9fc5fccd12fa6cd94492xxxxx',
APISecret='NGM5NTE2YTlmODExZDg1MGYyZjxxxxx')
websocket.enableTrace(False)
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}, ping_timeout=5)