关于ai.baidu.com的 代码:
#########################################核心代码##############################################
from aip import AipNlp, AipSpeech
import os
from uuid import uuid4
import go_tuling
APP_ID = "15217709"
API_KEY = "eNiP5QUsgBh6QwpbNv8Qmsy3"
SECRET_RET = "gwhM3wDo0Kjjd1PDIxqqW4Bfex10Y4f3"
client = AipSpeech(APP_ID, API_KEY, SECRET_RET)
nlp_client = AipNlp(APP_ID, API_KEY, SECRET_RET)
# 读取文件
def get_file_content(filePath):
# 格式转换将其他格式的文件转换成pcm文件
os.system(f"ffmpeg -y -i {filePath} -acodec pcm_s16le -f s16le -ac 1 -ar 16000 {filePath}.pcm")
with open(f"{filePath}.pcm", "rb")as fp:
# 返回这个文件
return fp.read()
# 音频变文本
def audio2text(filename):
print("1", filename)
# 是被本地文件
res = client.asr(get_file_content(filename), "pcm", 16000, {
"dev_pid": 1536,
})
print(res.get("result")[0])
return res.get("result")[0]
# 文本变音频
def text2audio(A):
result = client.synthesis(A, "zh", 1, {
"per": 4,
"pit": 8,
"spd": 4,
"vol": 5,
})
if not isinstance(result, dict):
# 获取文件的文件名
filename = f"{uuid4()}.mp3"
# 文件的路径
filepath = os.path.join("audios", filename)
with open(filepath, "ab") as f:
f.write(result)
# 返回这个文件的名字
return filename
# 获取到用户输入的响应文件
def my_nip(Q):
# 判断用户输入的
if nlp_client.simnet(Q, "你叫什么名字").get("score") >= 0.7:
A = "我的名字叫雪人"
else:
# 获取图灵返回的文字
A = go_tuling.tl(Q, "yuebanwan")
# 返回这个图灵反应的文件
return A
调用图灵的代码:
import requests
#########################################基本配置##########################
url = "http://openapi.tuling123.com/openapi/api/v2"
data_dict = {
"reqType": 0,
"perception": {
"inputText": {
"text": "北京"
},
},
"userInfo": {
"apiKey": "96dfe320eec549519c5168093f93b2dc",
"userId": "yuebanwan"
}
}
##################################执行函数#########################################
def tl(text, uid):
# 给字典赋值text,这个text是传过来用户输入的内容
data_dict["perception"]["inputText"]["text"] = text
# 并给字典表名是哪个用户发来的请求
data_dict["userInfo"]["userInfo"] = uid
# 把消息数据返回给图灵,图灵并返回响应结果
res = requests.post(url, json=data_dict)
# 调用json方法把数据转成json格式的数据
res_json = res.json()
# 把图灵响应的数据
return res_json.get("results")[0]["values"]["text"]
实例化AipNlp的代码:
from aip import AipNlp
APP_ID = "15217709"
API_KEY = "eNiP5QUsgBh6QwpbNv8Qmsy3"
SECRET_KEY = "gwhM3wDo0Kjjd1PDIxqqW4Bfex10Y4f3"
nlp_client = AipNlp(APP_ID, API_KEY, SECRET_KEY)
text1 = "你叫什么名字"
text2 = "您怎们称呼"
res = nlp_client.simnet(text1, text2)
# print(res.get("score"))
最终app的代码:
from flask import Flask,request, render_template, send_file, jsonify
from uuid import uuid4
from baidu_ai import audio2text
from baidu_ai import my_nip
from baidu_ai import text2audio
import os
# 实例化一个Flask的对象
app = Flask(__name__)
# 写一个路由
@app.route("/", methods=["GET", "POST"])
def index():
if request.method == "GET":
return render_template("web.html")
@app.route("/toy_uploader", methods=["GET", "POST"])
def toy_uploader():
# 拼接路径
file_path = os.path.join("audios", f"{uuid4()}.wav")
#
request.files["record"].save(file_path)
# 将音频变成文本的函数,并的到音频的内容
Q = audio2text(file_path)
print(Q)
# 调用aipNlp
A = my_nip(Q)
# 将图灵处理后的数据返回的文本
filename = text2audio(A)
print(filename)
# 返回给前端json格式的数据
return jsonify({"filename": filename, "A": A})
@app.route("/get_audio/<filename>", methods=["GET", "POST"])
def get_audio(filename):
# 拼接新的路径
new_file = os.path.join("audios", filename)
print("2", new_file)
# 返回给前端新的文件
return send_file(new_file)
if __name__ == '__main__':
app.run("192.168.12.49", 5000, debug=True)
前端代码:
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Title</title>
</head>
<body>
<audio src="" controls autoplay id="player"></audio>
<p>
<button onclick="start_reco()" style="background-color: red">录制消息</button>
</p>
<p>
<button onclick="stop_reco()" style="background-color: green">发送消息</button>
</p>
</body>
<script type="text/javascript" src="/static/jquery-3.3.1.min.js"></script>
<script type="text/javascript" src="/static/Recorder.js"></script>
<script type="text/javascript">
var serv = "http://192.168.12.49:5000";
// var get_music = "http://192.168.1.102:9527/get_music/";
// var get_chat = "http://192.168.1.102:9527/get_chat/";
var reco = null;
var audio_context = new AudioContext();
navigator.getUserMedia = (navigator.getUserMedia ||
navigator.webkitGetUserMedia ||
navigator.mozGetUserMedia ||
navigator.msGetUserMedia);
navigator.getUserMedia({audio: true}, create_stream, function (err) {
console.log(err)
});
function create_stream(user_media) {
var stream_input = audio_context.createMediaStreamSource(user_media);
reco = new Recorder(stream_input);
}
function start_reco() {
reco.record();
}
function stop_reco() {
reco.stop();
get_audio();
reco.clear();
}
function get_audio() {
reco.exportWAV(function (wav_file) {
// wav_file = Blob对象 file对象
// ws.send(wav_file);
var formdata = new FormData();
formdata.append("record", wav_file);
// formdata.append("sender", toy_id);
// formdata.append("to_user", document.getElementById("from_user").innerText);
$.ajax({
url: serv + "/toy_uploader",
type: 'post',
processData: false,
contentType: false,
data: formdata,
dataType: 'json',
success: function (data) {
console.log(data.A);
// console.log(data);
document.getElementById("player").src =
"http://192.168.12.49:5000/get_audio/" + data.filename;
}
});
})
}
</script>
</html>
群聊的代码:
from flask import Flask, request,render_template
from geventwebsocket.handler import WebSocketHandler
from gevent.pywsgi import WSGIServer
from geventwebsocket.websocket import WebSocket
# 实例化一个app对象
app = Flask(__name__) # type: Flask
# 准备一个存放连接用户的容器
user_socket_list = []
@app.route("/ws")
def ws():
user_socket = request.environ.get("wsgi.websocket") # type: WebSocket
if user_socket:
# 把已经连接的用户添加到用户的连接列表中
user_socket_list.append(user_socket)
# print(len(user_socket_list), user_socket_list)
while 1:
# 获取到用户的数据
msg = user_socket.receive()
print(msg)
for usocket in user_socket_list:
if user_socket == usocket:
continue
try:
usocket.send(msg)
except:
continue
@app.route("/")
def index():
return render_template("ws_group_chat.html")
if __name__ == '__main__':
http_serv = WSGIServer(("192.168.12.49",5000), app, handler_class=WebSocketHandler)
http_serv.serve_forever()
群聊的前端代码:
<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta http-equiv="content-Type" charset="UTF-8">
<meta http-equiv="x-ua-compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Title</title>
</head>
<body>
<p>发送内容：<input type="text" id="message"><button onclick="send_msg()">发送消息</button></p>
<div id="msg_list" style=" 500px;">
</div>
</body>
<script type="application/javascript">
var ws = new WebSocket("ws://192.168.12.49:5000/ws");
// ws.onopen = function(){
// alert("欢迎来到S14群喷");
// };
ws.onmessage = function (ws_status) {
console.log(ws_status.data);
var ptag = document.createElement("p");
ptag.innerText = ws_status.data;
document.getElementById("msg_list").appendChild(ptag);
};
function send_msg() {
var msg = document.getElementById("message").value;
var ptag = document.createElement("p");
ptag.style.cssText = "text-align: right;";
ptag.innerText = msg;
document.getElementById("msg_list").appendChild(ptag);
ws.send(msg);
}
</script>
</html>
单聊的代码:
from flask import Flask, request,render_template
from geventwebsocket.handler import WebSocketHandler
from gevent.pywsgi import WSGIServer
import json
from geventwebsocket.websocket import WebSocket
# 实例化一个Flask对象
app = Flask(__name__) # type:Flask
user_socket_dict = {
}
@app.route("/ws/<user>")
def ws(user):
# 使用微博socket服务
user_socket = request.environ.get("wsgi.websocket") # type:WebSocket
# 如果存在user_socket连接
if user_socket:
# 是该用户连接socket
user_socket_dict[user] = user_socket
print(len(user_socket_dict), user_socket_dict)
while 1:
# 接收到连接用户发过来的信息
msg = user_socket.receive()
print(msg)
# 把收到的msg反序列化
msg_dict = json.loads(msg)
# 获取到反序列化的有效内容
to_usocket = user_socket_dict.get(msg_dict.get("to_user"))
# 发送给前端显示
to_usocket.send(json.dumps({"from_user": user, "to_user": msg_dict.get("to_user"), "msg": msg_dict.get("msg")}))
@app.route("/")
def index():
return render_template("ws.html")
if __name__ == '__main__':
http_serv = WSGIServer(("192.168.12.49", 5000), app, handler_class=WebSocketHandler)
http_serv.serve_forever()
单聊的前端代码:
<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta http-equiv="content-Type" charset="UTF-8">
<meta http-equiv="x-ua-compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Title</title>
</head>
<body>
<p>您的昵称：<input type="text" id="nick"><button onclick="openws()">进入聊天室</button></p>
<p>给<input type="text" id="to_user">发送：<input type="text" id="message"><button onclick="send_msg()">发送消息</button></p>
<div id="msg_list" style=" 500px;">
</div>
</body>
<script type="application/javascript">
var ws = null;
// ws.onopen = function(){
// alert("欢迎来到S14群喷");
// };
function openws(){
var nick = document.getElementById("nick").value;
ws = new WebSocket("ws://192.168.12.49:5000/ws/"+nick);
ws.onmessage = function (ws_status) {
console.log(ws_status.data);
var msg_obj = JSON.parse(ws_status.data);
var ptag = document.createElement("p");
ptag.innerText = msg_obj.from_user + " : " +msg_obj.msg;
document.getElementById("msg_list").appendChild(ptag);
};
}
function send_msg() {
var msg = document.getElementById("message").value;
var from_user = document.getElementById("nick").value;
var to_user = document.getElementById("to_user").value;
var ptag = document.createElement("p");
ptag.style.cssText = "text-align: right;";
ptag.innerText = msg + " : "+ from_user;
document.getElementById("msg_list").appendChild(ptag);
var msg_obj = {
msg:msg,
from_user:from_user,
to_user:to_user
};
ws.send(JSON.stringify(msg_obj));
};
</script>
</html>
Websocket代码:
解密代码:
1 # b'x81x83xceHxb6x85xffzx85'
2
3 hashstr = b'x81x83xceHxb6x85xffzx85'
4 # b'x81 x83 xceHxb6x85xffzx85'
5
6 # 将第二个字节也就是 x83 第9-16位 进行与127进行位运算
7 payload = hashstr[1] & 127
8 print(payload)
9 if payload == 127:
10 extend_payload_len = hashstr[2:10]
11 mask = hashstr[10:14]
12 decoded = hashstr[14:]
13 # 当位运算结果等于127时,则第3-10个字节为数据长度
14 # 第11-14字节为mask 解密所需字符串
15 # 则数据为第15字节至结尾
16
17 if payload == 126:
18 extend_payload_len = hashstr[2:4]
19 mask = hashstr[4:8]
20 decoded = hashstr[8:]
21 # 当位运算结果等于126时,则第3-4个字节为数据长度
22 # 第5-8字节为mask 解密所需字符串
23 # 则数据为第9字节至结尾
24
25
26 if payload <= 125:
27 extend_payload_len = None
28 mask = hashstr[2:6]
29 decoded = hashstr[6:]
30
31 # 当位运算结果小于等于125时,则这个数字就是数据的长度
32 # 第3-6字节为mask 解密所需字符串
33 # 则数据为第7字节至结尾
34
35 str_byte = bytearray()
36
37 for i in range(len(decoded)):
38 byte = decoded[i] ^ mask[i % 4]
39 str_byte.append(byte)
40
41 print(str_byte.decode("utf8"))
加密:
1 import struct
2 msg_bytes = "hello".encode("utf8")
3 token = b"x81"
4 length = len(msg_bytes)
5
6 if length < 126:
7 token += struct.pack("B", length)
8 elif length == 126:
9 token += struct.pack("!BH", 126, length)
10 else:
11 token += struct.pack("!BQ", 127, length)
12
13 msg = token + msg_bytes
14
15 print(msg)