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| 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"; | |
| function ChatWindow({ | |
| stopStrings, | |
| maxTokens, | |
| }) { | |
| const { loadingStatus, send, isGenerating } = useLLM(); | |
| const [fileText, setFileText] = useState(); | |
| const [userInput, setUserInput] = useState(""); | |
| const handleChange = (event) => { | |
| setUserInput(event.target.value); | |
| }; | |
| const isReady = loadingStatus.progress === 1; | |
| const handleSubmit = useCallback(async () => { | |
| if (isGenerating || !isReady) { | |
| return; | |
| } | |
| if (fileText) { | |
| console.log('found file text splitting into chunks') | |
| const textSplitter = new RecursiveCharacterTextSplitter({ chunkSize: 1000 }); | |
| const docs = await textSplitter.createDocuments([fileText]); | |
| let qaPrompt; | |
| console.log(docs); | |
| try { | |
| const vectorStore = await MemoryVectorStore.fromTexts( | |
| [...docs.map(doc => doc.pageContent)], | |
| [...docs.map((v, k) => k)], | |
| new XenovaTransformersEmbeddings() | |
| ) | |
| console.log(vectorStore); | |
| const queryResult = await vectorStore.similaritySearch(userInput, 1); | |
| console.log("queryResult", queryResult); | |
| 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[0].pageContent} | |
| ========= | |
| 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"> | |
| <input | |
| style={{ width: '95%', padding: '10px'}} | |
| value={userInput} | |
| placeholder="Say something..." | |
| onChange={handleChange} | |
| /> | |
| </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,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" | |
| alt="Send Message" | |
| style={{ | |
| filter: | |
| !isReady || isGenerating | |
| ? "grayscale(100%)" | |
| : undefined, | |
| }} | |
| width="40" | |
| height="40" | |
| /> | |
| </button> | |
| <FileLoader setFileText={setFileText} /> | |
| </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; |