v2版本
增加自定义提示词支持,优化网页整体布局,修复system_prompt导致的消息发送bug。
新增几个通用且好用的的提示词,仅供参考。
注意,如果您在模型列表中配置了自定义prompt,在对应模型被选中时,该prompt将会覆盖system_prompt。
单html文件ChatGPT网站,支持全平台使用,电脑手机点击即用。
使用第三方转发api进行问答,您可以使用github账号申请免费的key进行使用。具体请看源代码内的说明。
在文件第八行后填入您申请的apikey,然后调整模型,即可使用、分享。
请注意,apikey直接硬编码进入了网页内部,填入您自己的key后,不可将该网页公开传播,防止apikey滥用。
代码无图床依赖,js、css均在html文件内,图片也使用base64直接编码进入了网页。
markdown部分的js和css使用了由CDN托管的markdown-it进行渲染,确保在有网情况下即可使用。(如果报错Uncaught TypeError: window.markdownit is not a constructor,说明从该CDN下载文件失败,可稍后尝试)
除去公共CDN的公开文件外,代码完全单文件,无需任何依赖即可使用。
<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>简易ChatGPT</title>
<script>
// AI配置
var api = "https://api.gpt.ge/v1/chat/completions"; // 您的api地址
var apikey = ""; // 您的api-key
var system_prompt = null; // 系统提示词,可留空
var llm_selection = [
["gpt-4o-2024-08-06", "GPT-4o"],
["gpt-4o-mini", "GPT-4o-mini"],
["o1-sim", "[+]拟造GPT o1"],
["o1-mini-sim", "[+]拟造GPT o1 mini"],
["thinker", "[+]深入思考"],
["prompt_expert", "[+]提示词工程师"],
["o1-preview", "GPT o1 preview"],
["o1-mini", "GPT o1 mini"],
["gpt-4o-all", "[全能]GPT-4o-all"],
["gpt-4-turbo", "GPT-4-Turbo"],
["net-gpt-4-turbo", "[联网]GPT-4-Turbo"],
["claude-3-5-sonnet-20240620", "Claude-3.5"],
["deepseek-chat", "Deepseek Chat"],
["deepseek-coder", "Deepseek Coder"],
["gemini-1.5-flash-latest", "[长文]Gemini Flash"],
["gemini-1.5-pro-latest", "[长文]Gemini Pro"],
["stable-diffusion", "[绘图]Stable Diffusion"],
]; // API可用模型配置,每行第一个是模型代码,第二个是模型在下拉菜单中显示的内容。注意尾部逗号。
// 如果使用prompt,请在第一列自行配置一个名字,然后在下方 “prompt_model_list” 数组中,配置prompt和真实模型。
// 网页配置
var isinfo = 1;// 是否有开屏提示信息
var webFontFamily = "华文中宋, 微软雅黑, 楷体";// 网页全局字体,多个字体用英文逗号隔开,越靠前优先级越高
// 使用额外变量保存的prompt。请注意,prompt两边使用单引号进行引用,因此内部的文本出现的单引号需要转义。
var o1_prompt = '# 语言: zh-CN\n# 用途: 逐步解释推理过程,输出为 Markdown 格式\n\ndef 分析助理():\n """你是一个擅长逐步解释推理过程的AI助手"""\n return {\n "风格": ["理性", "细致", "批判性思维"],\n "擅长": "多步骤推理",\n "输出格式": "Markdown"\n }\n\nclass 推理助手(输入):\n def __init__(self, 输入):\n self.状态 = "确认用户问题" # 初始化第1步\n self.输入 = 输入\n\n def 逐步推理(self):\n """你会逐步解释每一步的推理过程并提供结论"""\n \n def 标题(状态):\n """为每一步推理生成标题,包含对替代答案的探索。考虑你可能出错的情况,以及如果推理错误,错误可能出现在哪里。"""\n return 标题\n\n def 内容描述(状态, 输入):\n """进行认真细致的推理,注意你作为llm的局限性以及你能做什么和不能做什么。使用最佳实践。"""\n return 推理过程\n\n def 决定下一步(状态, 输入, 当前步骤):\n """根据状态、输入和当前步骤动态决定下一步"""\n # 至少要有 3 步推理\n if 当前步骤 >= 3 and 是否可以得出结论(状态, 输入) or 当前步骤 >= 8: \n return "最终结论"\n else:\n return 生成下一步(状态, 输入)\n\n def 是否可以得出结论(状态, 输入):\n """判断是否已经可以得出结论"""\n return True or False\n\n def 生成下一步(状态, 输入):\n """根据输入和当前推理步骤生成下一步推理"""\n return 下一步推理\n\n 当前步骤 = 0\n \n md_output = "# 推理过程\n"\n while self.状态 != "最终结论":\n 当前步骤 += 1\n next_action = 决定下一步(self.状态, self.输入, 当前步骤)\n \n md_output += f"## 步骤: {标题(self.状态)}\n"\n md_output += f"- **内容**: {内容描述(self.状态, self.输入)}\n"\n if next_action != "最终结论":\n md_output += f"- **下一步**: {next_action}\n\n"\n \n self.状态 = next_action\n \n return md_output\n\ndef start():\n """启动时运行"""\n system_role = 分析助理()\n 输入 = input()\n 助手 = 推理助手(输入)\n 结果 = 助手.逐步推理()\n\n print(结果)\n\n\nif __name__ == "__main__":\n start()\n\n# 请按照伪代码的规则运行,直接执行 main。**不要尝试解释代码**';
var prompt_expert_prompt = '你是一个专家级ChatGPT提示工程师,在各种主题方面具有专业知识。在我们的互动过程中,你会称我为“您”。让我们合作创建最好的ChatGPT响应我提供的提示。我们将进行如下交互:\n1.我会告诉你如何帮助我。\n2.根据我的要求,您将建议您应该承担的其他专家角色,除了成为专家级ChatGPT提示工程师之外,以提供最佳响应。然后,您将询问是否应继续执行建议的角色,或修改它们以获得最佳结果。\n3.如果我同意,您将采用所有其他专家角色,包括最初的Expert ChatGPT Prompt Engineer角色\n4.如果我不同意,您将询问应删除哪些角色,消除这些角色,并保留剩余的角色,包括专家级ChatGPT Prompt工程师角色,然后再继续。\n5.您将确认您的活动专家角色,概述每个角色下的技能,并询问我是否要修改任何角色。\n6.如果我同意,您将询问要添加或删除哪些角色,我将通知您。重复步骤5,直到我对角色满意为止。\n7.如果我不同意,请继续下一步。\n8.你会问:“我怎样才能帮助[我对步骤1的回答]?\n9.我会给出我的答案\n10.你会问我是否想使用任何参考来源来制作完美的提示\n11.如果我同意,你会问我想使用的来源数量。\n12.您将单独请求每个来源,在您查看完后确认,并要求下一个。继续,直到您查看了所有源,然后移动到下一步。\n13.您将以列表格式请求有关我的原始提示的更多细节,以充分了解我的期望。\n14.我会回答你的问题。\n15.从这一点开始,您将在所有确认的专家角色下操作,并使用我的原始提示和步骤14中的其他细节创建详细的ChatGPT提示。提出新的提示并征求我的反馈。\n16.如果我满意,您将描述每个专家角色的贡献以及他们将如何协作以产生全面的结果。然后,询问是否缺少任何输出或专家。\n16.1.如果我同意,我将指出缺少的角色或输出,您将在重复步骤15之前调整角色。\n16.2.如果我不同意,您将作为所有已确认的专家角色执行提供的提示,并生成步骤15中概述的输出。继续执行步聚20。\n17.如果我不满意,你会问具体问题的提示\n18.我将提供补充资料。\n19.按照步聚15中的流程生成新提示,并考虑我在步聚18中的反馈\n20.完成回复后,询问我是否需要任何更改。\n21.如果我同意,请请求所需的更改,参考您之前的回复,进行所需的调整,并生成新的提示。重复步骤15-20,直到我对提示符满意为止。';
var thinker_prompt = '你是一个喜欢深入探索问题的人,需要详细且逻辑清晰的回答。\n你擅长使用费曼学习法和第一性原理来回答问题,并且你拥有强大的批判性思维。\n如果你对答案不确定,先给我一个警告,然后再尽力回答。请按照以下步骤依次完成执行,每回答一个步骤,请告诉我还有几个步骤完成最终结果,给我一个进度条提示。\n每进入到一个步骤,请使用markdown格式加粗标题信息,比如“定义问题”“构建思想之树”字体需要加粗,并自带分隔符,使得信息有明确的分隔:\n1.定义问题:首先当我提出一个问题时,你首先要采用提问的方式告诉我,你认为还需要的最关键的多个信息,要求我考虑各种因素获得更清晰的信息,比如目标受众等相关信息,基于此来定义问题。\n2.构建思想之树:结合我的回答和多角度分析请为我生成不低于五个的解决方案,请以表格的方式输出。\n3.评估阶段:对于每个提出的解决方案,评估其潜在成功可能性。请考虑优点和缺点、需要的初始努力、实施的难度、可能的挑战以及预期的结果。根据这些因素,为每个选项分配一个成功的百分比概率。同样请以表格的方式输出。\n4.扩展阶段:对于每个解决方案,深入思考过程,生成潜在的场景、实施策略、需要的合作伙伴或资源,以及如何克服可能的障碍。同时,考虑任何可能出现的意外结果,以及如何处理他们,同时进一步优化所有方法,目的提高成功概率。\n5.决策决断:根据评估和场景,按照成功概率高低的顺序排列解决方案。为每个排名提供理由,并提供每个解决方案的最后思考或考虑因素。\n倒数第二步,提醒我,下一步降输出规划建议。\n当我回复后,为我输出一个最初提问问题后的最优选择,选择可是多个解决方案的融合方案。\n输出最优选择的结论必须使用表格的方式清晰的呈现和展示其名称、关键任务,对应的目的。\n同时,再使用OKR的方式进行另一个表格输出,描述目标,以及对应目标可量化的部分,方便我进一步落地和执行。\nOKR的进一步解释:\nO是你通过整体方案的回复后整体理解的一个或者多个目标,目标不得超过3个。\n每个O对应得KR不能低于2个,且不超过4个。\nKR必须是能直接实现目标的;\nKR必须是具有进取心、敢创新的,可以是不常规的;KR必须是以产出或者结果为基础的、可衡量的,设定评分标准:KR必须是和时间相练习的。\n最后一步,回顾最初我提出的问题,结合你所有分析结果和规划建议后,给出精准的解决方案。';
// 配置prompt,第一列是你为模型命的名,第二列是真实使用的模型,第三列是提示词,建议使用变量引入。
var prompt_model_list = [
["o1-sim", "gpt-4o-2024-08-06", o1_prompt],
["o1-mini-sim", "gpt-4o-mini", o1_prompt],
["prompt_expert", "gpt-4o-2024-08-06", prompt_expert_prompt],
["thinker", "gpt-4o-2024-08-06", thinker_prompt],
]
</script>
<!--
API说明
Github上有许多官方转发API,本站使用这些转发API进行工作。如果运行此网页的机器使用了代理,也可以直接使用官方API进行GPT问答。
推荐一些转发API的申请点(注册超过7天的Github账号可申请免费apikey,具体请看对应页面)
[V3 API][推荐]:https://github.com/popjane/free_chatgpt_api
- 免费Key申请地址:https://free.gpt.ge/github
- API地址:(免费)https://free.gpt.ge/v1/chat/completions
(付费)https://api.gpt.ge/v1/chat/completions
- 付费API购买地址:https://shop.gpt.ge/
- 可用模型列表:https://api.gpt.ge/pricing
- 额外说明:
- V3 API相对于ChatAnyWhere价格更加便宜,推荐购买;
- V3 API支持非常多的模型,除去官方的gpt系列,claude、gemini、deepseek等模型也可以使用OpenAI的方式进行请求,仅需要更改请求体中的model;
- V3 API支持当前最新的OpenAI o1 preview和o1 mini模型,尽管价格稍贵。
[ChatAnyWhere]:https://github.com/chatanywhere/GPT_API_free
- 免费Key申请地址:https://api.chatanywhere.org/v1/oauth/free/github/render
- API地址:https://api.chatanywhere.tech/v1/chat/completions
- 付费API购买地址:https://buyca.shop/
-->
<style>
/*初始化*/
* {
margin: 0;
padding: 0;
}
.no-select {
-webkit-user-select: none;
-moz-user-select: none;
-ms-user-select: none;
user-select: none;
}
.clearfix:after {
clear: both;
}
.clearfix:before,
.clearfix:after {
content: "";
display: table;
}
body {
background-color: rgb(238, 237, 241);
}
.container {
height: 100vh;
width: 90vw;
margin: 0 auto;
}
/*遮罩卡*/
.info-cover {
display: none;
position: absolute;
top: 0;
left: 0;
height: 100%;
width: 100%;
background-color: rgb(0, 0, 0, 0.4);
}
.info-container {
height: 400px;
width: 300px;
padding: 30px;
margin: 17vh auto;
background-color: #fff;
}
.info-nav {
border-bottom: 1px solid #444;
}
.info-name {
margin-top: 0;
}
.info-tail {
text-align: center;
margin: 10px 0;
font-size: 16px;
color: #777;
}
.info-content {
line-height: 25px;
margin: 15px 0;
}
span {
color: red;
}
/*导航栏*/
.nav {
text-align: center;
height: 60px;
border-bottom: 1px solid #aaa;
overflow: hidden;
}
select {
display: inline-block;
text-align: center;
background-color: rgb(238, 237, 241);
margin: 10px 5px;
height: 40px;
padding: 0 5px;
font-size: 18px;
line-height: 40px;
border-radius: 10px;
outline: none;
-webkit-appearance: none;
-moz-appearance: none;
appearance: none;
}
.icon {
float: left;
height: 80%;
width: auto;
margin-top: 5px;
}
.navlink,
.navbutton {
float: right;
text-decoration: none;
height: 40px;
width: 40px;
line-height: 40px;
text-align: center;
margin: 10px 10px;
background-image: url("data:image/png;base64,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");
background-position: center;
background-repeat: no-repeat;
background-size: 100%;
border: 0;
border-radius: 12px;
color: #fff;
font-size: 20px;
cursor: default;
}
.navlink:hover,
.navbutton:hover {
filter: brightness(80%);
}
.navlink:active,
.navbutton:active {
filter: brightness(60%);
}
/*聊天区*/
.chat-container {
padding: 10px 0;
height: calc(100% - 120px - 4px - 20px);
overflow-y: auto;
}
ol,
ul {
margin-top: 5px;
margin-left: 25px;
}
table {
border-collapse: collapse;
}
table,
th,
td {
border: 1px solid #000;
}
th,
td {
padding: 8px;
text-align: left;
}
th {
background-color: #f2f2f2;
}
tr:nth-child(even) {
background-color: #f9f9f9;
}
tr:nth-child(odd) {
background-color: #fff;
}
p {
margin-top: 5px;
}
img {
width: 100%;
height: auto;
}
h1,
h2,
h3,
h4,
h5,
h6 {
margin-top: 10px;
}
pre {
background-color: rgb(31, 31, 31);
border-radius: 10px;
padding: 10px;
margin-top: 6px;
}
code {
padding-left: 4px;
padding-right: 4px;
border-radius: 4px !important;
color: #000;
background-color: #ddd;
font-family: "consolas";
font-size: 16px;
border-radius: 10px;
white-space: pre-wrap;
word-wrap: break-word;
}
pre>code {
padding-left: 0;
padding-right: 0;
background-color: rgb(31, 31, 31);
border-radius: 0;
color: #fff;
}
.row {
width: 100%;
}
.gpt-icon {
float: left;
background-image: 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");
background-position: 0;
background-size: contain;
background-repeat: no-repeat;
width: 40px;
height: 40px;
}
.gpt-msg {
position: relative;
float: left;
background-color: rgb(255, 255, 255);
border-radius: 2px 12px 12px 12px;
padding: 10px;
margin: 5px 10px;
max-width: calc(100% - 40px - 40px - 48px);
word-wrap: break-word;
overflow-wrap: break-word;
white-space: normal;
font-size: 16px;
}
.gpt-msg> :first-child {
margin-top: 0;
}
.user-msg> :first-child {
margin-top: 0;
}
.gpt-msg-toolbox {
float: left;
}
.msg-copy {
float: left;
content: "";
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width: 15px;
height: 15px;
margin: 17px 0;
padding: 3px;
border-radius: 3px;
background-position: 0;
background-repeat: no-repeat;
background-size: contain;
}
.msg-copy:hover {
background-color: #aaa;
}
.msg-copy:active {
background-color: #777;
}
.msg-withdraw {
border-radius: 2px;
float: left;
content: "";
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");
width: 15px;
height: 15px;
margin: 17px 0;
padding: 3px;
border-radius: 3px;
background-position: 0;
background-repeat: no-repeat;
background-size: contain;
}
.msg-withdraw:hover {
background-color: #aaa;
}
.msg-withdraw:active {
background-color: #777;
}
.user-icon {
float: right;
background-image: 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");
background-position: 0;
background-size: contain;
background-repeat: no-repeat;
width: 40px;
height: 40px;
}
.user-msg {
position: relative;
float: right;
background-color: rgb(12, 170, 130);
border-radius: 12px 2px 12px 12px;
padding: 10px;
margin: 10px;
max-width: calc(100% - 40px - 40px - 48px);
word-wrap: break-word;
overflow-wrap: break-word;
white-space: normal;
font-size: 16px;
}
.user-msg-toolbox {
float: right;
}
/*输入区*/
.input-container {
border-top: 1px solid #888;
height: 60px;
}
.messagebox {
display: inline-block;
height: 3.5vh;
margin: 1.25vh 10px;
font-size: 16px;
}
.submitbutton {
float: right;
text-decoration: none;
height: 40px;
width: 60px;
line-height: 40px;
text-align: center;
margin: 10px 0;
background-color: rgb(12, 170, 130);
border: 0;
border-radius: 12px;
color: #fff;
font-size: 20px;
cursor: default;
}
.submitbutton:hover {
background-color: rgb(9, 129, 99);
}
.submitbutton:active {
background-color: rgb(5, 81, 62);
}
.msginput {
float: left;
height: 30px;
margin: 10px 10px;
padding: 5px;
font-size: 18px;
outline: none;
width: calc(100% - 100px);
outline: none;
box-shadow: none;
border: 1px solid #aaa;
border-radius: 10px;
}
</style>
<script src="https://cdn.jsdelivr.net/npm/markdown-it/dist/markdown-it.min.js"></script>
<link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/sindresorhus/github-markdown-css/github-markdown.css">
<script>
var historys; // 聊天历史记录嵌套数组
var myHeaders = new Headers();
myHeaders.append("Authorization", "Bearer " + apikey);
myHeaders.append("Content-Type", "application/json");
var cansubmit = 0; // 是否可以提交的信号,防止用户点击多次提交按钮,导致异步出错
var issystem = 0; // 是否有system prompt,会在网页加载完成后自动初始化
var cnt = 0; // 网页按钮计数器
function select_model(model_name) {
for (i = 0; i < prompt_model_list.length; i++) {
if (model_name == prompt_model_list[i][0]) {
return prompt_model_list[i][1]
}
}
return model_name
}
function select_prompt(model_name, prompts) {
for (i = 0; i < prompt_model_list.length; i++) {
if (model_name == prompt_model_list[i][0]) {
return prompt_model_list[i][2]
}
}
return prompts
}
function cleanhistory() {
var model = document.getElementById("model").value;
historys = [];
cnt = 0;
selected_prompt = select_prompt(model, system_prompt)
if (selected_prompt != null) {
cnt++;
issystem = 1;
historys.push({ 'role': 'system', 'content': selected_prompt })
}
else {
issystem = 0;
}
cansubmit = 1;
document.getElementsByClassName('chat-container')[0].innerHTML = '';
}
function indisplay() { document.getElementById('infocard').style.display = 'none'; }
function copyToClipboard(text) {
if (navigator.clipboard && window.isSecureContext) {
return navigator.clipboard.writeText(text).then(function () {
}, function (err) {
alert("内容复制失败");
});
} else {
const textArea = document.createElement("textarea");
textArea.value = text;
document.body.appendChild(textArea);
textArea.focus();
textArea.select();
try {
document.execCommand('copy');
} catch (err) {
alert("内容复制失败");
}
document.body.removeChild(textArea);
}
}
window.addEventListener('load', function () {
//初始化,清空历史
cleanhistory();
//监听输入框的回车按键,自动提交
document.getElementById('user-input').addEventListener('keydown', function (event) {
if (event.key === 'Enter') {
if (!event.shiftKey && !event.ctrlKey) {
submit();
event.preventDefault();
}
}
});
//将用户llm填入下拉框
selects = document.getElementById("model");
for (i = 0; i < llm_selection.length; i++) { selects.innerHTML += '<option value="' + llm_selection[i][0] + '">' + llm_selection[i][1] + '</option>'; }
//根据用户配置显示开屏提示
if (isinfo == 1) { document.getElementById('infocard').style.display = 'block'; }
//根据用户配置更改全局字体
document.body.style.fontFamily = webFontFamily;
document.getElementById("user-input").style.fontFamily = webFontFamily;
});
function chat() {
cansubmit = 0;
document.getElementsByClassName('chat-container')[0].innerHTML += '<div class="row clearfix"><div class="gpt-icon"></div><div class="gpt-msg"></div><div class="gpt-msg-toolbox"><div class="msg-copy" onclick="copy(' + String(cnt) + ')"></div><div class="msg-withdraw" onclick="gpt_withdraw(' + String(cnt++) + ')"></div></div></div>';
ele = document.getElementsByClassName('gpt-msg')
gpt_content = ele[ele.length - 1];
gpt_content.innerText = "正在思考中,请稍后……";
raw = JSON.stringify({
'model': select_model(document.getElementById('model').value),
'messages': historys
});
//组装、发送请求
var requestOptions = {
method: 'POST',
headers: myHeaders,
body: raw,
redirect: 'follow'
};
fetch(api, requestOptions)
.then(response => response.json())
.then(result => {
if (result.hasOwnProperty("error")) {
gpt_content.innerText = "请求出现错误,错误信息:\n" + result.error.code + "\n" + result.error.message + "\n请稍后点击[清空聊天]后重试。";
return 0;
}
msglist = result.choices;
gpt_msg = msglist[msglist.length - 1].message.content;
historys.push({ "role": "assistant", "content": gpt_msg });
const md = new window.markdownit();
gpt_msg_md = md.render(gpt_msg);
gpt_content.innerHTML = gpt_msg_md;
cansubmit = 1;
const rows = document.querySelectorAll('.row');
rows.forEach(row => {
const links = row.querySelectorAll('a');
links.forEach(link => {
link.target = '_blank';
});
});
})
.catch(error => {
console.log(error);
});
}
function submit() {
if (cansubmit == 0) {
return 0;
}
//获取用户的数据
var msg = document.getElementById('user-input').value;
if (msg == "") {
return 0;
}
//更新网页显示
const md = new window.markdownit();
msg_md = md.render(msg);
document.getElementsByClassName('chat-container')[0].innerHTML += '<div class="row clearfix"><div class="user-icon"></div><div class="user-msg"></div><div class="user-msg-toolbox"><div class="msg-copy" onclick="copy(' + String(cnt) + ')"></div><div class="msg-withdraw" onclick="user_withdraw(' + String(cnt++) + ')"></div></div></div>';
ele = document.getElementsByClassName('user-msg')
ele[ele.length - 1].innerHTML = msg_md;
document.getElementById('user-input').value = ""
//更新历史记录
historys.push({ "role": "user", "content": msg });
chat();
}
function copy(i) {
copyToClipboard(historys[i].content)
}
function gpt_withdraw(i) {
if (cansubmit == 0) {
return 0;
}
historys = historys.slice(0, i);
rows = document.getElementsByClassName('row');
len = rows.length;
for (c = len - 1; c >= i - issystem; c--) {
rows[c].remove();
}
cnt = i;
chat();
}
function user_withdraw(i) {
historys = historys.slice(0, i);
rows = document.getElementsByClassName('row');
len = rows.length;
console.log(len + "长度");
for (c = len - 1; c >= i - issystem; c--) {
rows[c].remove();
}
cnt = i;
}
</script>
</head>
<body>
<div class="info-cover" id="infocard" onclick="indisplay()">
<div class="info-container">
<div class="info-nav">
<h1 class="info-name">提示</h1>
</div>
<div class="info-content">
<p class="info-content"> 本网页仅个人使用,apikey直接硬编码进入了单网页中,<span>切勿在不信任的渠道进行传播、分享</span>,谨防apikey滥用!</p>
<p class="info-content"> 网页采用单文件设计,与markdown相关的依赖文件直接使用了公开CDN进行引用,图片也使用base64直接编码进入了本文件。</p>
<p class="info-content"> 您如果需要修改相关的配置信息,如BaseURL、api-key、可用模型,可以直接修改此网页的源代码。相关配置信息在本文件的第8行之后。</p>
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