mirror of
https://github.com/arc53/DocsGPT.git
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147 lines
5.1 KiB
TypeScript
147 lines
5.1 KiB
TypeScript
import { Fragment, useEffect, useRef } from 'react';
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import { useDispatch, useSelector } from 'react-redux';
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import Hero from '../Hero';
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import { AppDispatch } from '../store';
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import ConversationBubble from './ConversationBubble';
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import {
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addQuery,
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fetchAnswer,
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selectQueries,
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selectStatus,
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updateQuery,
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} from './conversationSlice';
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import Send from './../assets/send.svg';
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import Spinner from './../assets/spinner.svg';
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import { FEEDBACK, Query } from './conversationModels';
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import { sendFeedback } from './conversationApi';
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export default function Conversation() {
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const queries = useSelector(selectQueries);
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const status = useSelector(selectStatus);
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const dispatch = useDispatch<AppDispatch>();
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const endMessageRef = useRef<HTMLDivElement>(null);
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const inputRef = useRef<HTMLDivElement>(null);
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useEffect(
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() => endMessageRef?.current?.scrollIntoView({ behavior: 'smooth' }),
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[queries.length, queries[queries.length - 1]],
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);
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const handleQuestion = (question: string) => {
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dispatch(addQuery({ prompt: question }));
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dispatch(fetchAnswer({ question }));
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};
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const handleFeedback = (query: Query, feedback: FEEDBACK, index: number) => {
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const prevFeedback = query.feedback;
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dispatch(updateQuery({ index, query: { feedback } }));
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sendFeedback(query.prompt, query.response!, feedback).catch(() =>
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dispatch(updateQuery({ index, query: { feedback: prevFeedback } })),
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);
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};
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const prepResponseView = (query: Query, index: number) => {
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let responseView;
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if (query.error) {
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responseView = (
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<ConversationBubble
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ref={endMessageRef}
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className={`${index === queries.length - 1 ? 'mb-24' : 'mb-7'}`}
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key={`${index}ERROR`}
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message={query.error}
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type="ERROR"
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></ConversationBubble>
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);
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} else if (query.response) {
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responseView = (
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<ConversationBubble
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ref={endMessageRef}
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className={`${index === queries.length - 1 ? 'mb-24' : 'mb-7'}`}
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key={`${index}ANSWER`}
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message={query.response}
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type={'ANSWER'}
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sources={query.sources}
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feedback={query.feedback}
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handleFeedback={(feedback: FEEDBACK) =>
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handleFeedback(query, feedback, index)
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}
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></ConversationBubble>
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);
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}
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return responseView;
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};
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const handlePaste = (e: React.ClipboardEvent) => {
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e.preventDefault();
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const text = e.clipboardData.getData('text/plain');
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document.execCommand('insertText', false, text);
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};
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return (
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<div className="flex justify-center p-4">
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{queries.length > 0 && (
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<div className="mt-20 flex flex-col transition-all md:w-3/4">
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{queries.map((query, index) => {
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return (
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<Fragment key={index}>
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<ConversationBubble
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ref={endMessageRef}
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className={'mb-7'}
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key={`${index}QUESTION`}
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message={query.prompt}
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type="QUESTION"
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sources={query.sources}
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></ConversationBubble>
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{prepResponseView(query, index)}
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</Fragment>
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);
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})}
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</div>
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)}
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{queries.length === 0 && <Hero className="mt-24 md:mt-52"></Hero>}
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<div className="fixed bottom-0 flex w-10/12 flex-col items-end self-center md:w-[50%]">
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<div className="flex w-full">
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<div
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ref={inputRef}
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contentEditable
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onPaste={handlePaste}
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className={`border-000000 overflow-x-hidden; max-h-24 min-h-[2.6rem] w-full overflow-y-auto whitespace-pre-wrap rounded-xl border bg-white py-2 pl-4 pr-9 leading-7 opacity-100 focus:outline-none`}
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onKeyDown={(e) => {
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if (e.key === 'Enter' && !e.shiftKey) {
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e.preventDefault();
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if (inputRef.current?.textContent && status !== 'loading') {
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handleQuestion(inputRef.current.textContent);
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inputRef.current.textContent = '';
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}
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}
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}}
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></div>
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{status === 'loading' ? (
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<img
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src={Spinner}
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className="relative right-[38px] bottom-[7px] -mr-[30px] animate-spin cursor-pointer self-end"
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></img>
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) : (
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<div className="relative right-[43px] bottom-[7px] -mr-[35px] h-[35px] w-[35px] cursor-pointer self-end rounded-full hover:bg-gray-3000">
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<img
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className="ml-[9px] mt-[9px]"
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onClick={() => {
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if (inputRef.current?.textContent) {
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handleQuestion(inputRef.current.textContent);
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inputRef.current.textContent = '';
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}
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}}
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src={Send}
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></img>
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</div>
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)}
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</div>
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<p className="w-[100vw] self-center bg-white p-5 text-center text-xs text-gray-2000">
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This is a chatbot that uses the GPT-3, Faiss and LangChain to answer
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questions.
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</p>
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</div>
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</div>
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);
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}
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