ChatGPT 桌面版 gpt-3.5-turbo 模型中的参数问题
By
hi_aardio
at 23 天前 • 0人收藏 • 350人看过
Jacen He 有个关于“编写 ChatGPT 桌面版，改进支持上下文对话”的公众号代码分享，如下：
import win.ui;
/*DSG{{*/
var winform = win.form(text="ChatGPT 桌面智能助理";right=661;bottom=721)
/*}}*/
import web.view;
var wb = web.view(winform);
import web.rest.jsonClient;
var http = web.rest.jsonClient();
//参数请改成您的 API key（或者获取 API key 的网址也可以）。
http.setAuthToken("API key");
var ai = http.api("https://api.openai.com/v1/");
var conversation = {};
var chatGptName = "桌面智能助理";
var chatGptInfo = "是一个快乐的程序员，精通多种编程语言";
wb.external = {
ask = function(q){
table.push(conversation,"用户:"+q);
var prompt;
do{
prompt = "提示:你叫"
+ chatGptName + "，"
+ chatGptInfo + "。<|endoftext|>"
+ "当前时间：" + tostring(time()) + "。<|endoftext|>"
+ string.join(conversation,"<|endoftext|>")
+ "<|endoftext|>"
+ chatGptName + ":";
if(#prompt < 2000) break;
table.shift(conversation);
}while(true);
var ret,err = ai.completions({
"prompt": prompt,//发送提示
"model": "text-davinci-003",//GPT 3.5 模型
"temperature": 0.8,//热度，0~1 之间。
"max_tokens": 2048,//最大允许的字符数量
"stop": {"<|endoftext|>"}
})
if(ret){
var a = ret.choices[1].text;
table.push(conversation,chatGptName+":"+a);
return a;
}
else {
if(err[1]=='{'#){
var errObject = web.json.tryParse(err)[["error"]];
if(errObject[["code"]]="invalid_api_key"){
return "您的 API key 已经失效了！";
}
if(errObject[["message"]]) return errObject[["message"]];
}
return err;
}
};
}
wb.html = /**
<!DOCTYPE html><html>
<head>
<meta charset="utf-8" />
<title>ChatGPT 桌面智能助理</title>
<script src="https://lib.baomitu.com/react/18.2.0/umd/react.production.min.js"></script>
<script src="https://lib.baomitu.com/react-dom/18.2.0/umd/react-dom.production.min.js"></script>
<script src="https://lib.baomitu.com/chatui-core/2.4.2/index.min.js"></script>
<link rel="stylesheet" href="https://lib.baomitu.com/chatui-core/2.4.2/index.min.css">
<script src="https://lib.baomitu.com/babel-standalone/7.20.14/babel.min.js"></script>
<style type="text/css">html,body,#app{height:100%}</style>
</head>
<body>
<script type="text/babel">
const { useState,useEffect,useCallback,useRef } = React;
const { default: Chat, Bubble, useMessages } = ChatUI;
const App = () => {
const { messages, appendMsg, setTyping } = useMessages([{
type: 'text',
content: { text: '主人好，我是桌面智能助理，您的贴心小助手~' },
user: { avatar: 'https://gw.alicdn.com/tfs/TB1DYHLwMHqK1RjSZFEXXcGMXXa-56-62.svg' },
}]);
function handleSend(type, val) {
if (type === 'text' && val.trim()) {
appendMsg({
type: 'text',
content: { text: val },
position: 'right',
});
setTyping(true);
aardio.ask(val).then( text=>{
appendMsg({
type: 'text',
content: { text: text },
});
})
}
}
function renderMessageContent(msg) {
const { content } = msg;
return <Bubble content={content.text} />;
}
return (
<Chat
navbar={{ title: '' }}
messages={messages}
renderMessageContent={renderMessageContent}
onSend={handleSend}
/>
);
};
const root = ReactDOM.createRoot(document.getElementById('app'));
root.render(<App />);
</script>
<div id="app"></div>
**/
winform.show();
win.loopMessage();这里用的模型是
text-davinci-003
而最新open ai出的更便宜好用的3.5模型是gpt-3.5-turbo and gpt-3.5-turbo-0301
新模型对应的介绍如下：
API Reference - OpenAI API
与原来模型相比，主要是post时参数上有所变化。（原来都是json方式，一对一，这次的新模型多了【】，需要提供多个参数值）
新模型参数：
{
"model": "gpt-3.5-turbo",
"messages": [{"role": "user", "content": "Hello!"}]
}这里涉及到messages后面参数
[{"role": "user", "content": "Hello!"}]想请教各位，在aardio中，如何来写这一部分内容？
谢谢
7 个回复 | 最后更新于 22 天前
主要改2个地方
prompt = {{"role": "user", "content":"提示:你叫"
+ chatGptName + "，"
+ chatGptInfo + "。<|endoftext|>"
+ "当前时间：" + tostring(time()) + "。<|endoftext|>"
+ string.join(conversation,"<|endoftext|>")
+ "<|endoftext|>"
+ chatGptName + ":"}};还有就是返回的内容
var a = ret.choices[1].message.content;
这样就可以正常使用了
23 天前
#6
回复#5 @hi_aardio :
import fonts.fontAwesome;
import win.ui;
/*DSG{{*/
mainForm = win.form(text="chatsonic";right=1152;bottom=594;bgcolor=16777215;border="none")
mainForm.add(
plsAsk={cls="plus";left=34;top=508;right=1046;bottom=578;align="left";bgcolor=16777215;border={color=-16777216;width=1};color=16711680;db=1;dl=1;dr=1;editable=1;font=LOGFONT(h=-16;name='微软雅黑');link=1;multiline=1;wrap=1;z=2};
plsLang={cls="plus";text="中文";left=861;top=9;right=1041;bottom=35;color=16711680;dr=1;dt=1;font=LOGFONT(h=-20;name='FontAwesome');iconStyle={align="left";font=LOGFONT(h=-20;name='FontAwesome');padding={left=40}};iconText='\uF096 ';z=5};
plsLog={cls="plus";left=34;top=41;right=1121;bottom=496;align="left";bgcolor=16777215;border={color=-16777216;width=1};color=8388608;db=1;dl=1;dr=1;dt=1;editable=1;font=LOGFONT(h=-16;name='微软雅黑');link=1;multiline=1;wrap=1;z=1};
plsSend={cls="plus";text="Send";left=1059;top=508;right=1121;bottom=578;bgcolor=15793151;color=8388608;db=1;dr=1;font=LOGFONT(h=-16;name='微软雅黑';weight=700);notify=1;z=3};
plus={cls="plus";text="ChatSonic智能助手";left=32;top=10;right=275;bottom=38;align="right";color=8388608;dl=1;dt=1;font=LOGFONT(h=-20;name='FontAwesome';weight=700);iconColor=32768;iconStyle={align="left";font=LOGFONT(h=-29;name='FontAwesome');padding={left=10}};iconText='\uF1D7';z=4}
)
/*}}*/
import inet.http;
import web.json;
import time;
import win.ui.simpleWindow;
win.ui.simpleWindow(mainForm);
var;
var head = {
"accept": "application/json",
"content-type": "application/json",
"X-API-KEY": "替换你自己的token key"
}
var url = "https://api.writesonic.com/v2/business/content/chatsonic?engine=premium&language="
var history = {{"is_sent": true, "message": ""}, }
mainForm.plsLang.skin({
color = {
hover = 0xF0FF0000;
};
checked = {
iconText = '\uF046';
}
})
mainForm.plsSend.skin(
background = {
hover = 0xFFFF771C;
}
)
mainForm.plsSend.oncommand = function(id,event){
mainForm.plsSend.disabled = true;
if mainForm.plsLang.checked {
lang = "zh";
} else {
lang = "en";
}
var payload = {
"enable_google_results": true,
"enable_memory": true,
"input_text": mainForm.plsAsk.text,
"history_data": history,
}
var http = inet.http();
http.addHeaders = head;
var respstr = http.post(url+lang, web.json.stringify(payload, true));
if respstr {
var resp = web.json.parse(respstr, true);
tm = time.now()
tm.format="%Y年%m月%d日 %H时%M分%S秒";
string.save("/res/dialog.txt", tostring(tm)+'\r\n', true);
string.save("/res/dialog.txt", "You >>> "+mainForm.plsAsk.text+'\r\n', true);
string.save("/res/dialog.txt", "GPT >>> "+resp.message+'\r\n', true);
table.push(history,
{
"is_sent": true,
"message": mainForm.plsAsk.text
},
{
"is_sent": false,
"message": resp.message
},
)
mainForm.plsLog.editBox.print("You >>> "+mainForm.plsAsk.text);
mainForm.plsLog.editBox.print("GPT >>> "+resp.message);
mainForm.plsAsk.text = null;
}
mainForm.plsSend.disabled = false;
}
mainForm.plsLang.checked = true;
mainForm.show();
return win.loopMessage();虽然我不是调用的openai的api，不过原理是一样的。
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