web-llm-embed / src /components /ChatWindow.jsx
matt HOFFNER
cleanup
c79b0f3
raw
history blame
7.5 kB
import useLLM from "@react-llm/headless";
import Image from "next/image";
import { useCallback, useEffect, useState } from "react";
import MessageList from './MessageList';
import {FileLoader} from './FileLoader';
import Loader from "./Loader";
import { RecursiveCharacterTextSplitter } from 'langchain/text_splitter';
import { XenovaTransformersEmbeddings } from '../embed/hf';
import { MemoryVectorStore } from "langchain/vectorstores/memory";
import {
Button,
TextInput,
} from "react95";
function ChatWindow({
stopStrings,
maxTokens,
}) {
const { loadingStatus, send, isGenerating, deleteMessages } = useLLM();
const [fileText, setFileText] = useState();
const [userInput, setUserInput] = useState("");
const handleChange = (event) => {
setUserInput(event.target.value);
};
const isReady = loadingStatus.progress === 1;
const handleClear = () => {
deleteMessages();
}
const handleSubmit = useCallback(async () => {
if (isGenerating || !isReady) {
return;
}
if (fileText) {
const textSplitter = new RecursiveCharacterTextSplitter({ chunkSize: 1000 });
const docs = await textSplitter.createDocuments([fileText]);
let qaPrompt;
try {
const vectorStore = await MemoryVectorStore.fromTexts(
[...docs.map(doc => doc.pageContent)],
[...docs.map((v, k) => k)],
new XenovaTransformersEmbeddings()
)
const queryResult = await vectorStore.similaritySearch(userInput, 2);
qaPrompt =
`You are an AI assistant providing helpful advice. You are given the following extracted parts of a long document and a question. Provide a conversational answer based on the context provided.
You should only provide hyperlinks that reference the context below. Do NOT make up hyperlinks.
If you can't find the answer in the context below, just say "Hmm, I'm not sure." Don't try to make up an answer.
If the question is not related to the context, politely respond that you are tuned to only answer questions that are related to the context.
Question: ${userInput}
=========
${queryResult.map(result => result.pageContent).join('')}
=========
Answer:
`
} catch (err) {
console.log(err);
}
send(qaPrompt, maxTokens, stopStrings);
} else {
send(userInput, maxTokens, stopStrings);
}
setUserInput("");
}, [
userInput,
send,
isGenerating,
isReady,
maxTokens,
stopStrings,
fileText
]);
useEffect(() => {
const handleKeyPress = (event) => {
if (event.key === "Enter") {
event.preventDefault();
handleSubmit();
}
};
window.addEventListener("keydown", handleKeyPress);
return () => {
window.removeEventListener("keydown", handleKeyPress);
};
}, [handleSubmit]);
const loadFile = async () => {
console.log('file loaded');
}
useEffect(() => {
loadFile();
}, [fileText])
return (
<div className="window sm:w-[500px] w-full">
<div className="window-content w-full">
<div className="flex flex-col w-full">
<MessageList
screenName={"me"}
assistantScreenName={"vicuna"}
/>
{/* <Separator /> */}
<div className="h-4" />
{isReady && (
<div>
<form onSubmit={handleSubmit}>
<div className="flex">
<TextInput
value={userInput}
placeholder="Say something..."
onChange={handleChange}
fullWidth
multiline
rows={3}
/>
</div>
</form>
<div className="h-4">
{isGenerating && (
<span>is typing...</span>
)}
</div>
<div className="flex justify-start m-2">
<div>
<div>
<Button
onClick={handleSubmit}
className="submit"
style={{ height: "65px", width: "65px", float: "right" }}
>
<Image
src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAB4AAAAiCAYAAABIiGl0AAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAyNpVFh0WE1MOmNvbS5hZG9iZS54bXAAAAAAADw/eHBhY2tldCBiZWdpbj0i77u/IiBpZD0iVzVNME1wQ2VoaUh6cmVTek5UY3prYzlkIj8+IDx4OnhtcG1ldGEgeG1sbnM6eD0iYWRvYmU6bnM6bWV0YS8iIHg6eG1wdGs9IkFkb2JlIFhNUCBDb3JlIDYuMC1jMDAyIDc5LjE2NDQ2MCwgMjAyMC8wNS8xMi0xNjowNDoxNyAgICAgICAgIj4gPHJkZjpSREYgeG1sbnM6cmRmPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5LzAyLzIyLXJkZi1zeW50YXgtbnMjIj4gPHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9IiIgeG1sbnM6eG1wPSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvIiB4bWxuczp4bXBNTT0iaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wL21tLyIgeG1sbnM6c3RSZWY9Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC9zVHlwZS9SZXNvdXJjZVJlZiMiIHhtcDpDcmVhdG9yVG9vbD0iQWRvYmUgUGhvdG9zaG9wIDIxLjIgKFdpbmRvd3MpIiB4bXBNTTpJbnN0YW5jZUlEPSJ4bXAuaWlkOjU3MUQ1NTRFMTdFQTExRUM5MDA1OTZFMzQ1Q0E2MTMxIiB4bXBNTTpEb2N1bWVudElEPSJ4bXAuZGlkOjU3MUQ1NTRGMTdFQTExRUM5MDA1OTZFMzQ1Q0E2MTMxIj4gPHhtcE1NOkRlcml2ZWRGcm9tIHN0UmVmOmluc3RhbmNlSUQ9InhtcC5paWQ6NTcxRDU1NEMxN0VBMTFFQzkwMDU5NkUzNDVDQTYxMzEiIHN0UmVmOmRvY3VtZW50SUQ9InhtcC5kaWQ6NTcxRDU1NEQxN0VBMTFFQzkwMDU5NkUzNDVDQTYxMzEiLz4gPC9yZGY6RGVzY3JpcHRpb24+IDwvcmRmOlJERj4gPC94OnhtcG1ldGE+IDw/eHBhY2tldCBlbmQ9InIiPz53k5gpAAACU0lEQVR42sRWAZKDIAyETn9k3wRv0jfBm7xsIEwuAtZee43DDKhhk+wadPu+u6sjpbQvy7Kv67q/4o/xklMIgUEBjjkC+TgwAB251WxbAFezv9MmLsaIzaZGmTkC8Nu2odTwwVruO9x/PB4IgN872+9yiTFgwrO2K9k/JSQBtEDCtTV5d8b9gT8BwRyOKMoSSERr+MWtmA3GZl8rdAD2jD4wcJ9ddgTK65xpFTPz2tY0wDG4HezB71jub+6CLXRhE55XYUFoMIirZwDEQABaxJwxOe2yoVYx7sEhpMCgW9yG2ZGiWxCTCvKeXLGZsMARD+IY/Ooh6hYTlYuqsa7i6nI/5BhVQPmQrXBb612+21i+Z8yttUoZLehqDoHRDChTh+FyAWwbb7lwmguHAnBWevhUofnbiZqKA2W3PcqIPjJwWIqwsBFArEakm1ngFuS0H8uVCi/qOz68rzpW41zrQDWbfucSUAhqNZeIrAcuQKpjteai2uuxc4kjK5a6VAOrqtbgs3aos9fHp33/mGVaf4PWtscBpdDuj1qhPlDMp+e6wBxlvQAgoBKpBMfgqczPfgAk6+khISUWHnsOwiGp/fT0efpYlE3PfmX++q/11On0Sbu5L9nXgO/tfPR+V/9h/p0gsrfe924eYM5r/dIoKH2/F7B9Xr9rfyg1QOEsn5cNarBZ95n163LcycJLZDooE/nwj/mSuGYltKfY21QNIMtrL/LKv7PVeBlYAHu8qGeaz9O0rd8hCVM6vfAT7nqV8WY+qpzvAf+b+VHZ3t1ErP0IMAAwT6EpM/krMwAAAABJRU5ErkJggg=="
alt="Send Message"
style={{
filter:
!isReady || isGenerating
? "grayscale(100%)"
: undefined,
}}
width="40"
height="40"
/>
</Button>
<FileLoader setFileText={setFileText} />
<Button onClick={handleClear}>Clear</Button>
</div>
<div
className="w-full h-1 mt-2"
style={{
backgroundColor:
!isReady || isGenerating ? "red" : "green",
width: "100%",
height: "5px",
marginTop: "2px",
}}
></div>
</div>
</div>
</div>
)}
{!isReady && <Loader />}
</div>
</div>
</div>
);
}
export default ChatWindow;