import React, { useEffect, useRef } from "react";
export default () => {
  const wrapper = useRef();
  useEffect(() => {
    const bot = new window.ChatSDK({
      root: wrapper.current,
      config: {
        navbar: {
          title: "OA聊天助手",
        },
        robot: {
          avatar: robtAvatar,
        },
        messages: [
          {
            type: "system",
            content: {
              text: "OA聊天助手，已進(jìn)入對話",
            },
          },
        ],
      },
      requests: {
        /* ... */
      },
      handlers: {
        /* ... */
      },
    });
    bot.run();
  }, []);
  return <div style={{ height: "100%" }} ref={wrapper} />;
};

<?php
declare(strict_types=1);
namespace App\Controller;
use App\Kernel\Response\DetachStream;
use App\Library\ChatGPT\Bean\GPTMessageBean;
use App\Library\ChatGPT\Client;
use App\Library\OpenAi\OpenAi;
use App\Service\KeyService;
use HPlus\Route\Annotation\ApiController;
use HPlus\Route\Annotation\GetApi;
use Hyperf\Di\Annotation\Inject;
use Swow\Psr7\Message\Psr17Factory;
#[ApiController]
class Chat extends AbstractController
{
    #[Inject]
    protected Client $ChatGPTApi;
    #[GetApi]
    public function message()
    {
        $context = $this->request->query('text');
        $response = $this->response->withHeader('Content-Type', 'text/event-stream;charset=UTF-8');
        return (new OpenAi(KeyService::getKey()))->completion([
            'model' => 'text-davinci-003',
            'prompt' => 'test',
            'temperature' => 0.9,
            'max_tokens' => 150,
            'stream' => true,
            'frequency_penalty' => 0,
            'presence_penalty' => 0.6,
        ], function ($curl_info, $data) {
            p($data);
        });
        return $response->withBody(new DetachStream());
    }
    #[GetApi]
    public function send()
    {
        $context = $this->request->query('content');
        $message = new GPTMessageBean('幫我寫代碼：' . $context . '<|endoftext|>');
        return json_encode($this->ChatGPTApi->sendMessage($message), 256);
    }
}

let source = new EventSource('/stream'); 
source.onmessage = function(event) { 
    var streamDiv = document.getElementById('stream'); 
    streamDiv.innerHTML += event.data + '<br>'; 
};

import ReactMarkdown from "react-markdown";
import { Prism as SyntaxHighlighter } from "react-syntax-highlighter";
import { darcula } from "react-syntax-highlighter/dist/esm/styles/prism";
export default function MyCard({ data, ctx, meta }) {
  return (
    <Card size="xl">
      <CardTitle>{data.title}</CardTitle>
      <CardText>
        <ReactMarkdown
          children={data.content}
          components={{
            code({ node, inline, className, children, ...props }) {
              const match = /language-(\w+)/.exec(className || "");
              return !inline && match ? (
                <SyntaxHighlighter
                  children={String(children).replace(/\n$/, "")}
                  style={darcula}
                  language={match[1]}
                  PreTag="div"
                  {...props}
                />
              ) : (
                <code className={className} {...props}>
                  {children}
                </code>
              );
            },
          }}
        />
      </CardText>
    </Card>
  );
}