llama-gpt/components/Chat/ChatMessage.tsx

53 lines
1.8 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={`flex justify-center py-[20px] sm:py-[30px] ${message.role === "assistant" ? "dark:bg-[#444654] dark:text-neutral-100 bg-neutral-100 text-neutral-900 border border-neutral-300 dark:border-none" : "dark:bg-[#343541] dark:text-white text-neutral-900"}`}
style={{ overflowWrap: "anywhere" }}
>
<div className="w-full sm:w-4/5 md:w-3/5 lg:w-[600px] xl:w-[800px] flex px-4">
<div className="mr-1 sm:mr-2 font-bold min-w-[40px]">{message.role === "assistant" ? "AI:" : "You:"}</div>
<div className="prose dark:prose-invert mt-[-2px]">
<ReactMarkdown
remarkPlugins={[remarkGfm]}
components={{
code({ node, inline, className, children, ...props }) {
const match = /language-(\w+)/.exec(className || "");
return !inline && match ? (
<CodeBlock
key={Math.random()}
language={match[1]}
value={String(children).replace(/\n$/, "")}
lightMode={lightMode}
{...props}
/>
) : (
<code
className={className}
{...props}
>
{children}
</code>
);
}
}}
>
{message.content}
</ReactMarkdown>
</div>
</div>
</div>
);
};