feat(video-search): add video search
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import {
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RunnableSequence,
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RunnableMap,
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RunnableLambda,
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} from '@langchain/core/runnables';
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import { PromptTemplate } from '@langchain/core/prompts';
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import formatChatHistoryAsString from '../utils/formatHistory';
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import { BaseMessage } from '@langchain/core/messages';
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import { StringOutputParser } from '@langchain/core/output_parsers';
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import { searchSearxng } from '../lib/searxng';
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import type { BaseChatModel } from '@langchain/core/language_models/chat_models';
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const VideoSearchChainPrompt = `
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You will be given a conversation below and a follow up question. You need to rephrase the follow-up question so it is a standalone question that can be used by the LLM to search Youtube for videos.
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You need to make sure the rephrased question agrees with the conversation and is relevant to the conversation.
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Example:
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1. Follow up question: How does a car work?
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Rephrased: How does a car work?
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2. Follow up question: What is the theory of relativity?
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Rephrased: What is theory of relativity
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3. Follow up question: How does an AC work?
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Rephrased: How does an AC work
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Conversation:
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{chat_history}
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Follow up question: {query}
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Rephrased question:
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`;
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type VideoSearchChainInput = {
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chat_history: BaseMessage[];
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query: string;
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};
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const strParser = new StringOutputParser();
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const createVideoSearchChain = (llm: BaseChatModel) => {
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return RunnableSequence.from([
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RunnableMap.from({
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chat_history: (input: VideoSearchChainInput) => {
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return formatChatHistoryAsString(input.chat_history);
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},
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query: (input: VideoSearchChainInput) => {
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return input.query;
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},
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}),
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PromptTemplate.fromTemplate(VideoSearchChainPrompt),
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llm,
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strParser,
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RunnableLambda.from(async (input: string) => {
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const res = await searchSearxng(input, {
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engines: ['youtube'],
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});
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const videos = [];
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res.results.forEach((result) => {
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if (
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result.thumbnail &&
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result.url &&
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result.title &&
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result.iframe_src
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) {
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videos.push({
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img_src: result.thumbnail,
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url: result.url,
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title: result.title,
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iframe_src: result.iframe_src,
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});
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}
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});
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return videos.slice(0, 10);
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}),
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]);
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};
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const handleVideoSearch = (
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input: VideoSearchChainInput,
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llm: BaseChatModel,
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) => {
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const VideoSearchChain = createVideoSearchChain(llm);
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return VideoSearchChain.invoke(input);
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};
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export default handleVideoSearch;
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@ -13,8 +13,10 @@ interface SearxngSearchResult {
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url: string;
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img_src?: string;
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thumbnail_src?: string;
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thumbnail?: string;
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content?: string;
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author?: string;
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iframe_src?: string;
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}
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export const searchSearxng = async (
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@ -1,10 +1,12 @@
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import express from 'express';
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import imagesRouter from './images';
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import videosRouter from './videos';
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import configRouter from './config';
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const router = express.Router();
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router.use('/images', imagesRouter);
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router.use('/videos', videosRouter);
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router.use('/config', configRouter);
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export default router;
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import express from 'express';
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import { BaseChatModel } from '@langchain/core/language_models/chat_models';
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import { getAvailableProviders } from '../lib/providers';
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import { getChatModel, getChatModelProvider } from '../config';
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import { HumanMessage, AIMessage } from '@langchain/core/messages';
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import logger from '../utils/logger';
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import handleVideoSearch from '../agents/videoSearchAgent';
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const router = express.Router();
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router.post('/', async (req, res) => {
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try {
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let { query, chat_history } = req.body;
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chat_history = chat_history.map((msg: any) => {
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if (msg.role === 'user') {
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return new HumanMessage(msg.content);
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} else if (msg.role === 'assistant') {
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return new AIMessage(msg.content);
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}
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});
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const models = await getAvailableProviders();
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const provider = getChatModelProvider();
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const chatModel = getChatModel();
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let llm: BaseChatModel | undefined;
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if (models[provider] && models[provider][chatModel]) {
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llm = models[provider][chatModel] as BaseChatModel | undefined;
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}
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if (!llm) {
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res.status(500).json({ message: 'Invalid LLM model selected' });
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return;
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}
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const videos = await handleVideoSearch({ chat_history, query }, llm);
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res.status(200).json({ videos });
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} catch (err) {
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res.status(500).json({ message: 'An error has occurred.' });
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logger.error(`Error in video search: ${err.message}`);
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}
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});
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export default router;
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@ -16,6 +16,7 @@ import Copy from './MessageActions/Copy';
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import Rewrite from './MessageActions/Rewrite';
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import MessageSources from './MessageSources';
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import SearchImages from './SearchImages';
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import SearchVideos from './SearchVideos';
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const MessageBox = ({
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message,
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@ -120,13 +121,10 @@ const MessageBox = ({
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query={history[messageIndex - 1].content}
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chat_history={history.slice(0, messageIndex - 1)}
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/>
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<div className="border border-dashed border-[#1C1C1C] px-4 py-2 flex flex-row items-center justify-between rounded-lg text-white text-sm w-full">
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<div className="flex flex-row items-center space-x-2">
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<VideoIcon size={17} />
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<p>Search videos</p>
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</div>
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<PlusIcon className="text-[#24A0ED]" size={17} />
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</div>
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<SearchVideos
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chat_history={history.slice(0, messageIndex - 1)}
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query={history[messageIndex - 1].content}
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/>
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</div>
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</div>
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)}
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/* eslint-disable @next/next/no-img-element */
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import { PlayCircle, PlayIcon, PlusIcon, VideoIcon } from 'lucide-react';
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import { useState } from 'react';
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import Lightbox, { GenericSlide, VideoSlide } from 'yet-another-react-lightbox';
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import 'yet-another-react-lightbox/styles.css';
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import { Message } from './ChatWindow';
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type Video = {
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url: string;
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img_src: string;
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title: string;
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iframe_src: string;
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};
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declare module 'yet-another-react-lightbox' {
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export interface VideoSlide extends GenericSlide {
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type: 'video-slide';
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src: string;
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iframe_src: string;
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}
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interface SlideTypes {
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'video-slide': VideoSlide;
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}
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}
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const Searchvideos = ({
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query,
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chat_history,
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}: {
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query: string;
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chat_history: Message[];
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}) => {
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const [videos, setVideos] = useState<Video[] | null>(null);
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const [loading, setLoading] = useState(false);
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const [open, setOpen] = useState(false);
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const [slides, setSlides] = useState<VideoSlide[]>([]);
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return (
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<>
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{!loading && videos === null && (
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<button
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onClick={async () => {
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setLoading(true);
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const res = await fetch(
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`${process.env.NEXT_PUBLIC_API_URL}/videos`,
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{
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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},
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body: JSON.stringify({
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query: query,
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chat_history: chat_history,
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}),
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},
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);
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const data = await res.json();
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const videos = data.videos;
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setVideos(videos);
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setSlides(
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videos.map((video: Video) => {
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return {
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type: 'video-slide',
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iframe_src: video.iframe_src,
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src: video.img_src,
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};
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}),
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);
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setLoading(false);
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}}
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className="border border-dashed border-[#1C1C1C] hover:bg-[#1c1c1c] active:scale-95 duration-200 transition px-4 py-2 flex flex-row items-center justify-between rounded-lg text-white text-sm w-full"
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>
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<div className="flex flex-row items-center space-x-2">
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<VideoIcon size={17} />
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<p>Search videos</p>
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</div>
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<PlusIcon className="text-[#24A0ED]" size={17} />
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</button>
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)}
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{loading && (
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<div className="grid grid-cols-2 gap-2">
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{[...Array(4)].map((_, i) => (
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<div
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key={i}
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className="bg-[#1C1C1C] h-32 w-full rounded-lg animate-pulse aspect-video object-cover"
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/>
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))}
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</div>
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)}
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{videos !== null && videos.length > 0 && (
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<>
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<div className="grid grid-cols-2 gap-2">
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{videos.length > 4
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? videos.slice(0, 3).map((video, i) => (
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<div
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onClick={() => {
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setOpen(true);
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setSlides([
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slides[i],
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...slides.slice(0, i),
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...slides.slice(i + 1),
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]);
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}}
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className="relative transition duration-200 active:scale-95 hover:scale-[1.02] cursor-pointer"
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key={i}
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>
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<img
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src={video.img_src}
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alt={video.title}
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className="relative h-full w-full aspect-video object-cover rounded-lg"
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/>
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<div className="absolute bg-black/70 text-white/70 px-2 py-1 flex flex-row items-center space-x-1 bottom-1 right-1 rounded-md">
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<PlayCircle size={15} />
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<p className="text-xs">Video</p>
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</div>
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</div>
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))
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: videos.map((video, i) => (
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<div
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onClick={() => {
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setOpen(true);
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setSlides([
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slides[i],
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...slides.slice(0, i),
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...slides.slice(i + 1),
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]);
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}}
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className="relative transition duration-200 active:scale-95 hover:scale-[1.02] cursor-pointer"
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key={i}
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>
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<img
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src={video.img_src}
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alt={video.title}
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className="relative h-full w-full aspect-video object-cover rounded-lg"
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/>
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<div className="absolute bg-black/70 text-white/70 px-2 py-1 flex flex-row items-center space-x-1 bottom-1 right-1 rounded-md">
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<PlayCircle size={15} />
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<p className="text-xs">Video</p>
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</div>
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</div>
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))}
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{videos.length > 4 && (
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<button
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onClick={() => setOpen(true)}
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className="bg-[#111111] hover:bg-[#1c1c1c] transition duration-200 active:scale-95 hover:scale-[1.02] h-auto w-full rounded-lg flex flex-col justify-between text-white p-2"
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>
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<div className="flex flex-row items-center space-x-1">
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{videos.slice(3, 6).map((video, i) => (
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<img
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key={i}
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src={video.img_src}
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alt={video.title}
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className="h-6 w-12 rounded-md lg:h-3 lg:w-6 lg:rounded-sm aspect-video object-cover"
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/>
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))}
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</div>
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<p className="text-white/70 text-xs">
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View {videos.length - 3} more
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</p>
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</button>
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)}
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</div>
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<Lightbox
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open={open}
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close={() => setOpen(false)}
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slides={slides}
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render={{
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slide: ({ slide }) =>
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slide.type === 'video-slide' ? (
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<div className="h-full w-full flex flex-row items-center justify-center">
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<iframe
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src={slide.iframe_src}
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className="aspect-video max-h-[95vh] w-[95vw] rounded-2xl md:w-[80vw]"
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allowFullScreen
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allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture"
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/>
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</div>
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) : null,
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}}
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/>
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</>
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)}
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</>
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);
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};
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export default Searchvideos;
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