llama-gpt/components/Chat/ChatMessage.tsx

66 lines
2.6 KiB
TypeScript

import { Message } from "@/types";
import { FC } from "react";
import ReactMarkdown from "react-markdown";
import remarkGfm from "remark-gfm";
import { CodeBlock } from "../Markdown/CodeBlock";
interface Props {
message: Message;
lightMode: "light" | "dark";
}
export const ChatMessage: FC<Props> = ({ message, lightMode }) => {
return (
<div
className={`group ${message.role === "assistant" ? "text-gray-800 dark:text-gray-100 border-b border-black/10 dark:border-gray-900/50 bg-gray-50 dark:bg-[#444654]" : "text-gray-800 dark:text-gray-100 border-b border-black/10 dark:border-gray-900/50 "}`}
style={{ overflowWrap: "anywhere" }}
>
<div className="text-base gap-4 md:gap-6 md:max-w-2xl lg:max-w-2xl xl:max-w-3xl p-4 md:py-6 flex lg:px-0 m-auto">
<div className="font-bold min-w-[40px]">{message.role === "assistant" ? "AI:" : "You:"}</div>
<div className="prose dark:prose-invert mt-[-2px]">
{message.role === "user" ? (
<div className="prose dark:prose-invert whitespace-pre-wrap">{message.content}</div>
) : (
<ReactMarkdown
remarkPlugins={[remarkGfm]}
components={{
code({ node, inline, className, children, ...props }) {
const match = /language-(\w+)/.exec(className || "");
return !inline && match ? (
<CodeBlock
key={Math.random()}
language={match[1]}
value={String(children).replace(/\n$/, "")}
lightMode={lightMode}
{...props}
/>
) : (
<code
className={className}
{...props}
>
{children}
</code>
);
},
table({ children }) {
return <table className="border-collapse border border-black dark:border-white py-1 px-3">{children}</table>;
},
th({ children }) {
return <th className="border border-black dark:border-white break-words py-1 px-3 bg-gray-500 text-white">{children}</th>;
},
td({ children }) {
return <td className="border border-black dark:border-white break-words py-1 px-3">{children}</td>;
}
}}
>
{message.content}
</ReactMarkdown>
)}
</div>
</div>
</div>
);
};