hi, 大家好, 我是徐小夕, 最近在 github
上看到一款非常有意思的开源项目, 定位是开箱即用的大模型对话前端解决方案, 我们使用它可以轻松构建聊天组件, 并且可以一键集成主流 AI
大模型, 比如 通义千问
, ChatGpt
等. (让前端再也不用从零写聊天组件了~)
我会在文末贴上这款 开源聊天组件
的文档地址和 github
地址.
我根据自己的使用和实践, 总结一下这款开源聊天组件的亮点:
它是基于 antd
组件库进行的二次封装, 所以我们可以轻松的在 antd
项目中使用, 保持 UI
视觉的统一.
使用啊安装方式如下:
# @ant-design/pro-editor 基于 antd 和 antd-style,需要在项目中安装
$ npm install antd antd-style -S
$ npm install @ant-design/pro-chat -S
使用:
import { ProChat } from '@ant-design/pro-chat';
import { useTheme } from 'antd-style';
export default () => {
const theme = useTheme();
return (
<div style={{ background: theme.colorBgLayout }}>
<ProChat
helloMessage={
'欢迎使用 ProChat ,我是你的专属机器人,这是我们的 Github:[ProChat](https://github.com/ant-design/pro-chat)'
}
request={async (messages) => {
const mockedData: string = `这是一段模拟的对话数据。本次会话传入了${messages.length}条消息`;
return new Response(mockedData);
}}
/>
</div>
);
};
是不是使用非常简单~
它内置了对话模型常用的:数据编辑、重新发送、删除对话等这些默认的基本操作.
const dataArray = [
`data: {"id": "chatcmpl-6w****KZb6hx****RzIghUz****Qy", "object": "chat.completion.chunk", "created": 1703582861554, "model": "gpt-3.5-turbo-0301", "choices": [{"delta": {"content": "苹"}, "index": 0, "finish_reason": null}]}`,
`data: {"id": "chatcmpl-6w****KZb6hx****RzIghUz****Qy", "object": "chat.completion.chunk", "created": 1703582861554, "model": "gpt-3.5-turbo-0301", "choices": [{"delta": {"content": "果"}, "index": 0, "finish_reason": null}]}`,
`data: {"id": "chatcmpl-6w****KZb6hx****RzIghUz****Qy", "object": "chat.completion.chunk", "created": 1703582861554, "model": "gpt-3.5-turbo-0301", "choices": [{"delta": {"content": "公司"}, "index": 0, "finish_reason": null}]}`,
`data: {"id": "chatcmpl-6w****KZb6hx****RzIghUz****Qy", "object": "chat.completion.chunk", "created": 1703582861554, "model": "gpt-3.5-turbo-0301", "choices": [{"delta": {"content": "是"}, "index": 0, "finish_reason": null}]}`,
`data: {"id": "chatcmpl-6w****KZb6hx****RzIghUz****Qy", "object": "chat.completion.chunk", "created": 1703582861554, "model": "gpt-3.5-turbo-0301", "choices": [{"delta": {"content": "一"}, "index": 0, "finish_reason": null}]}`,
`data: {"id": "chatcmpl-6w****KZb6hx****RzIghUz****Qy", "object": "chat.completion.chunk", "created": 1703582861554, "model": "gpt-3.5-turbo-0301", "choices": [{"delta": {"content": "家"}, "index": 0, "finish_reason": null}]}`,
`data: {"id": "chatcmpl-6w****KZb6hx****RzIghUz****Qy", "object": "chat.completion.chunk", "created": 1703582861554, "model": "gpt-3.5-turbo-0301", "choices": [{"delta": {"content": "科技"}, "index": 0, "finish_reason": null}]}`,
`data: {"id": "chatcmpl-6w****KZb6hx****RzIghUz****Qy", "object": "chat.completion.chunk", "created": 1703582861554, "model": "gpt-3.5-turbo-0301", "choices": [{"delta": {"content": "公司"}, "index": 0, "finish_reason": "complete"}]}`,
];
参照 ChatGPT
、GLM
、通义千问
等市面上主流的大模型入参出参,减少前端开发者对这些入参和出参的处理.
我们可以通过组件暴露的属性轻松自定义, 并且代码质量和代码规范非常优质.
npm install ai --save
npm install openai --save
# or use yarn 、bun、pnpm any else
bun add ai
bun add openai
import OpenAI from 'openai';
import { OpenAIStream, StreamingTextResponse } from 'ai';
export const POST = async (request: Request) => {
const { messages = [] }: Partial<{ messages: Array<any> }> = await request.json();
const openai = new OpenAI({
apiKey: 'OpenAI Key',
baseURL: 'base url',
});
const response = await openai.chat.completions.create({
model: 'gpt-3.5-turbo',
messages: [...messages],
stream: true,
});
const stream = OpenAIStream(response);
return new StreamingTextResponse(stream);
};
"use client";
import { ProChat } from "@ant-design/pro-chat";
import { useTheme } from "antd-style";
export default function Home() {
const theme = useTheme();
return (
<div
style={{
backgroundColor: theme.colorBgLayout,
}}
>
<ProChat
style={{
height: "100vh",
width: "100vw",
}}
request={async (messages: Array<any>) => {
const response = await fetch("/api/openai", {
method: "POST",
body: JSON.stringify({ messages: messages }),
});
return response;
}}
/>
</div>
);
}
是不是很简单, 3步就能帮你搭建一个AI聊天应用, 大家感兴趣的可以尝试使用一下.
github
地址: https://github.com/ant-design/pro-chat
文档地址: https://pro-chat.antdigital.dev/