/* eslint-disable @next/next/no-img-element */ "use client"; import 'katex/dist/katex.min.css'; import React, { useRef, useCallback, useState, useEffect, useMemo, Suspense } from 'react'; import ReactMarkdown from 'react-markdown'; import { useTheme } from 'next-themes'; import Marked, { ReactRenderer } from 'marked-react'; import Latex from 'react-latex-next'; import { track } from '@vercel/analytics'; import { useSearchParams } from 'next/navigation'; import { useChat } from 'ai/react'; import { ToolInvocation } from 'ai'; import { toast } from 'sonner'; import { motion, AnimatePresence } from 'framer-motion'; import Image from 'next/image'; import { fetchMetadata, generateSpeech, suggestQuestions } from '../actions'; import { Wave } from "@foobar404/wave"; import { Prism as SyntaxHighlighter } from 'react-syntax-highlighter'; import { oneLight, oneDark } from 'react-syntax-highlighter/dist/esm/styles/prism'; import { Sparkles, ArrowRight, Globe, AlignLeft, Copy, Cloud, Code, Check, Loader2, User2, Heart, X, MapPin, Plus, Download, Flame, Sun, Pause, Play, TrendingUpIcon, Calendar, Calculator, ChevronDown, Edit2, ChevronUp, Moon, ShoppingBasket, Star, YoutubeIcon, LucideIcon, FileText, Book, ExternalLink, Building, Users, Brain, TrendingUp, Plane } from 'lucide-react'; import { HoverCard, HoverCardContent, HoverCardTrigger, } from "@/components/ui/hover-card"; import { Tabs, TabsContent, TabsList, TabsTrigger } from "@/components/ui/tabs" import { Accordion, AccordionContent, AccordionItem, AccordionTrigger, } from "@/components/ui/accordion"; import { Tooltip, TooltipContent, TooltipProvider, TooltipTrigger, } from "@/components/ui/tooltip" import { Input } from '@/components/ui/input'; import { Button } from '@/components/ui/button'; import { Badge } from '@/components/ui/badge'; import { Card, CardContent, CardHeader, CardTitle, } from "@/components/ui/card"; import { Sheet, SheetContent, SheetHeader, SheetTitle, SheetTrigger } from "@/components/ui/sheet"; import { Drawer, DrawerContent, DrawerHeader, DrawerTitle, DrawerTrigger } from "@/components/ui/drawer"; import { GitHubLogoIcon, TextIcon } from '@radix-ui/react-icons'; import Link from 'next/link'; import { Dialog, DialogContent } from "@/components/ui/dialog"; import { Carousel, CarouselContent, CarouselItem } from "@/components/ui/carousel"; import { cn, SearchGroupId } from '@/lib/utils'; import { Table, TableBody, TableCell, TableRow, } from "@/components/ui/table"; import Autoplay from 'embla-carousel-autoplay'; import FormComponent from '@/components/ui/form-component'; import WeatherChart from '@/components/weather-chart'; import InteractiveChart from '@/components/interactive-charts'; import { MapComponent, MapContainer } from '@/components/map-components'; import MultiSearch from '@/components/multi-search'; import { CurrencyDollar, Flag, RoadHorizon, SoccerBall, TennisBall, XLogo } from '@phosphor-icons/react'; import { BorderTrail } from '@/components/core/border-trail'; import { TextShimmer } from '@/components/core/text-shimmer'; import { Tweet } from 'react-tweet'; import NearbySearchMapView from '@/components/nearby-search-map-view'; import { Separator } from '@/components/ui/separator'; import { TrendingQuery } from '../api/trending/route'; import { FlightTracker } from '@/components/flight-tracker'; import { InstallPrompt } from '@/components/InstallPrompt'; import { atomDark } from 'react-syntax-highlighter/dist/cjs/styles/prism'; import { vs } from 'react-syntax-highlighter/dist/cjs/styles/prism'; import { useMediaQuery } from '@/hooks/use-media-query'; export const maxDuration = 60; interface Attachment { name: string; contentType: string; url: string; size: number; } interface ShoppingProduct { title: string; url: string; image: string; price: string; rating?: number; reviewCount?: number; } interface RedditResult { title: string; url: string; subreddit?: string; score?: number; } interface XResult { id: string; url: string; title: string; author?: string; publishedDate?: string; text: string; highlights?: string[]; tweetId: string; } interface YouTubeVideo { title: string; link: string; snippet?: string; imageUrl?: string; duration?: string; source?: string; channel?: string; date?: string; } interface AcademicResult { title: string; url: string; author?: string | null; publishedDate?: string; summary: string; } interface YouTubeVideo { videoId: string; url: string; title: string; description?: string; author?: string; publishedDate?: string; views?: string; likes?: string; subscribers?: string; summary?: string; thumbnail?: string; } /* Mapbox API interfaces */ interface MapboxCoordinates { longitude: number; latitude: number; } interface MapboxContext { street?: { mapbox_id: string; name: string; }; postcode?: { mapbox_id: string; name: string; }; locality?: { mapbox_id: string; name: string; wikidata_id?: string; }; place?: { mapbox_id: string; name: string; wikidata_id?: string; }; district?: { mapbox_id: string; name: string; wikidata_id?: string; }; region?: { mapbox_id: string; name: string; wikidata_id?: string; region_code?: string; region_code_full?: string; }; country?: { mapbox_id: string; name: string; wikidata_id?: string; country_code: string; country_code_alpha_3: string; }; } interface MapboxFeature { id: string; type: string; geometry: { type: string; coordinates: [number, number]; // [longitude, latitude] }; properties: { mapbox_id: string; feature_type: 'street' | 'locality' | 'address' | string; name: string; name_preferred?: string; full_address?: string; coordinates: MapboxCoordinates; place_formatted?: string; bbox?: [number, number, number, number]; context?: MapboxContext; }; } // Simplified feature interface for the UI interface SimplifiedFeature { id: string; name: string; formatted_address?: string; geometry: { type: string; coordinates: [number, number]; }; context?: MapboxContext; place_formatted?: string; feature_type: string; coordinates: MapboxCoordinates; bbox?: [number, number, number, number]; } /* Mapbox API interfaces end */ // Updated SearchLoadingState with new colors and states const SearchLoadingState = ({ icon: Icon, text, color }: { icon: LucideIcon, text: string, color: "red" | "green" | "orange" | "violet" | "gray" | "blue" }) => { // Map of color variants const colorVariants = { red: { background: "bg-red-50 dark:bg-red-950", border: "from-red-200 via-red-500 to-red-200 dark:from-red-400 dark:via-red-500 dark:to-red-700", text: "text-red-500", icon: "text-red-500" }, green: { background: "bg-green-50 dark:bg-green-950", border: "from-green-200 via-green-500 to-green-200 dark:from-green-400 dark:via-green-500 dark:to-green-700", text: "text-green-500", icon: "text-green-500" }, orange: { background: "bg-orange-50 dark:bg-orange-950", border: "from-orange-200 via-orange-500 to-orange-200 dark:from-orange-400 dark:via-orange-500 dark:to-orange-700", text: "text-orange-500", icon: "text-orange-500" }, violet: { background: "bg-violet-50 dark:bg-violet-950", border: "from-violet-200 via-violet-500 to-violet-200 dark:from-violet-400 dark:via-violet-500 dark:to-violet-700", text: "text-violet-500", icon: "text-violet-500" }, gray: { background: "bg-neutral-50 dark:bg-neutral-950", border: "from-neutral-200 via-neutral-500 to-neutral-200 dark:from-neutral-400 dark:via-neutral-500 dark:to-neutral-700", text: "text-neutral-500", icon: "text-neutral-500" }, blue: { background: "bg-blue-50 dark:bg-blue-950", border: "from-blue-200 via-blue-500 to-blue-200 dark:from-blue-400 dark:via-blue-500 dark:to-blue-700", text: "text-blue-500", icon: "text-blue-500" } }; const variant = colorVariants[color]; return (
{text}
{[...Array(3)].map((_, i) => (
))}
); }; // Base YouTube Types interface VideoDetails { title?: string; author_name?: string; author_url?: string; thumbnail_url?: string; type?: string; provider_name?: string; provider_url?: string; height?: number; width?: number; } interface VideoResult { videoId: string; url: string; details?: VideoDetails; captions?: string; timestamps?: string[]; views?: string; likes?: string; summary?: string; } interface YouTubeSearchResponse { results: VideoResult[]; } // UI Component Types interface YouTubeCardProps { video: VideoResult; index: number; } const YouTubeCard: React.FC = ({ video, index }) => { const [timestampsExpanded, setTimestampsExpanded] = useState(false); const [transcriptExpanded, setTranscriptExpanded] = useState(false); if (!video) return null; return ( {/* Thumbnail */} {video.details?.thumbnail_url ? ( {video.details?.title ) : (
)}
{/* Title and Channel */}
{video.details?.title || 'YouTube Video'} {video.details?.author_name && (
{video.details.author_name} )}
{/* Interactive Sections */} {(video.timestamps && video.timestamps?.length > 0 || video.captions) && (
{/* Timestamps */} {video.timestamps && video.timestamps.length > 0 && (

Key Moments

{video.timestamps .slice(0, timestampsExpanded ? undefined : 3) .map((timestamp, i) => (
{timestamp}
))}
)} {/* Transcript */} {video.captions && ( <> {video.timestamps && video.timestamps!.length > 0 && }

Transcript

{transcriptExpanded && (

{video.captions}

)}
)}
)}
); }; const HomeContent = () => { const searchParams = useSearchParams(); // Memoize initial values to prevent re-calculation const initialState = useMemo(() => ({ query: searchParams.get('query') || '', model: searchParams.get('model') || 'azure:gpt4o-mini' }), []); // Empty dependency array as we only want this on mount const lastSubmittedQueryRef = useRef(initialState.query); const [hasSubmitted, setHasSubmitted] = useState(() => !!initialState.query); const [selectedModel, setSelectedModel] = useState(initialState.model); const bottomRef = useRef(null); const [suggestedQuestions, setSuggestedQuestions] = useState([]); const [isEditingMessage, setIsEditingMessage] = useState(false); const [editingMessageIndex, setEditingMessageIndex] = useState(-1); const [attachments, setAttachments] = useState([]); const fileInputRef = useRef(null); const inputRef = useRef(null); const initializedRef = useRef(false); const [selectedGroup, setSelectedGroup] = useState('web'); const CACHE_KEY = 'trendingQueriesCache'; const CACHE_DURATION = 5 * 60 * 60 * 1000; // 5 hours in milliseconds // Add this type definition interface TrendingQueriesCache { data: TrendingQuery[]; timestamp: number; } const getTrendingQueriesFromCache = (): TrendingQueriesCache | null => { if (typeof window === 'undefined') return null; const cached = localStorage.getItem(CACHE_KEY); if (!cached) return null; const parsedCache = JSON.parse(cached) as TrendingQueriesCache; const now = Date.now(); if (now - parsedCache.timestamp > CACHE_DURATION) { localStorage.removeItem(CACHE_KEY); return null; } return parsedCache; }; const { theme } = useTheme(); const [openChangelog, setOpenChangelog] = useState(false); const [trendingQueries, setTrendingQueries] = useState([]); const { isLoading, input, messages, setInput, append, handleSubmit, setMessages, reload, stop } = useChat({ maxSteps: 10, body: { model: selectedModel, group: selectedGroup, }, onFinish: async (message, { finishReason }) => { console.log("[finish reason]:", finishReason); if (message.content && finishReason === 'stop' || finishReason === 'length') { const newHistory = [...messages, { role: "user", content: lastSubmittedQueryRef.current }, { role: "assistant", content: message.content }]; const { questions } = await suggestQuestions(newHistory); setSuggestedQuestions(questions); } }, onError: (error) => { console.error("Chat error:", error.cause, error.message); toast.error("An error occurred.", { description: "We must have ran out of credits. Sponsor us on GitHub to keep this service running.", action: { label: "Sponsor", onClick: () => window.open("https://git.new/mplx", "_blank"), }, }); }, }); useEffect(() => { if (!initializedRef.current && initialState.query && !messages.length) { initializedRef.current = true; setHasSubmitted(true); console.log("[initial query]:", initialState.query); append({ content: initialState.query, role: 'user' }); } }, [initialState.query, append, setInput, messages.length]); useEffect(() => { const fetchTrending = async () => { // Check cache first const cached = getTrendingQueriesFromCache(); if (cached) { setTrendingQueries(cached.data); return; } try { const res = await fetch('/api/trending'); if (!res.ok) throw new Error('Failed to fetch trending queries'); const data = await res.json(); // Store in cache const cacheData: TrendingQueriesCache = { data, timestamp: Date.now() }; localStorage.setItem(CACHE_KEY, JSON.stringify(cacheData)); setTrendingQueries(data); } catch (error) { console.error('Error fetching trending queries:', error); setTrendingQueries([]); } }; fetchTrending(); }, []); const ThemeToggle: React.FC = () => { const { theme, setTheme } = useTheme(); return ( ); }; const CopyButton = ({ text }: { text: string }) => { const [isCopied, setIsCopied] = useState(false); return ( ); }; type Changelog = { id: string; images: string[]; content: string; title: string; }; const changelogs: Changelog[] = [ { id: "1", title: "December Updates", images: [ "https://metwm7frkvew6tn1.public.blob.vercel-storage.com/mplx-changelogs/mplx-search-groups.png", "https://metwm7frkvew6tn1.public.blob.vercel-storage.com/mplx-changelogs/mplx-grok2.png", "https://metwm7frkvew6tn1.public.blob.vercel-storage.com/mplx-changelogs/mplx-track-flights.png", "https://metwm7frkvew6tn1.public.blob.vercel-storage.com/mplx-changelogs/mplx-reterive-back.png", ], content:` ## **Search Groups** You can now switch between different search groups like Default, Youtube, X.com, Academic, and more to get results from different sources. ## **Added Grok 2.0 Vision model** xAI's Grok 2.0 Vision model is now available on the platform. ## **Default Search Engine** You can now set MiniPerplx as the default search engine for the platform. Follow the instructions in the [Readme](https://github.com/zaidmukaddam/miniperplx/blob/main/README.md) to set it as default. ## **Track Flights** You can now track flights in real-time with the new Flight Tracker tool. ## **PWA support** The platform now supports Progressive Web App(PWA) features. You can now install the platform as an app on your device. ## **Reterive tool is back!** You can now use the Retrieve tool to get information from the a specific URL. ## **Trending Queries** You can now view the trending queries on the platform. ` } ]; const ChangeLogs = ({ open, setOpen }: { open: boolean; setOpen: (open: boolean) => void }) => { const isMobile = useMediaQuery("(max-width: 768px)"); const ChangelogContent = () => ( <> {/* Fixed Header */}

What's new

{changelogs.map((changelog) => (
{/* Carousel */} {changelog.images.map((image, index) => ( {changelog.title} ))} {/* Content Section */}

{changelog.title}

(

), p: ({ node, className, ...props }) => (

), a: ({ node, className, ...props }) => ( ), }} className="text-sm text-left pr-2" > {changelog.content}

))}
); if (isMobile) { return ( ); } return ( ); }; const TranslationTool: React.FC<{ toolInvocation: ToolInvocation; result: any }> = ({ toolInvocation, result }) => { const [isPlaying, setIsPlaying] = useState(false); const [audioUrl, setAudioUrl] = useState(null); const [isGeneratingAudio, setIsGeneratingAudio] = useState(false); const audioRef = useRef(null); const canvasRef = useRef(null); const waveRef = useRef(null); useEffect(() => { return () => { if (audioRef.current) { audioRef.current.pause(); audioRef.current.src = ''; } }; }, []); useEffect(() => { if (audioUrl && audioRef.current && canvasRef.current) { waveRef.current = new Wave(audioRef.current, canvasRef.current); waveRef.current.addAnimation(new waveRef.current.animations.Lines({ lineColor: "rgb(203, 113, 93)", lineWidth: 2, mirroredY: true, count: 100, })); } }, [audioUrl]); const handlePlayPause = async () => { if (!audioUrl && !isGeneratingAudio) { setIsGeneratingAudio(true); try { const { audio } = await generateSpeech(result.translatedText, 'alloy'); setAudioUrl(audio); setIsGeneratingAudio(false); } catch (error) { console.error("Error generating speech:", error); setIsGeneratingAudio(false); } } else if (audioRef.current) { if (isPlaying) { audioRef.current.pause(); } else { audioRef.current.play(); } setIsPlaying(!isPlaying); } }; const handleReset = () => { if (audioRef.current) { audioRef.current.pause(); audioRef.current.currentTime = 0; setIsPlaying(false); } }; if (!result) { return (
); } return (
The phrase {toolInvocation.args.text} translates from {result.detectedLanguage} to {toolInvocation.args.to} as {result.translatedText} in {toolInvocation.args.to}.
{audioUrl && ( ); }; interface TableData { title: string; content: string; } interface ResultsOverviewProps { result: { image: string; title: string; description: string; table_data: TableData[]; }; } const ResultsOverview: React.FC = React.memo(({ result }) => { const [showAll, setShowAll] = useState(false); const visibleData = useMemo(() => { return showAll ? result.table_data : result.table_data.slice(0, 3); }, [showAll, result.table_data]); return (
{result.image && (
{result.title}
)}
{result.title}

{result.description}

 {visibleData.map((item, index) => ( {item.title} {item.content} ))}
{result.table_data.length > 3 && ( )} ); }); ResultsOverview.displayName = 'ResultsOverview'; const renderToolInvocation = useCallback( (toolInvocation: ToolInvocation, index: number) => { const args = JSON.parse(JSON.stringify(toolInvocation.args)); const result = 'result' in toolInvocation ? JSON.parse(JSON.stringify(toolInvocation.result)) : null; // Find place results if (toolInvocation.toolName === 'find_place') { if (!result) { return ; } const { features } = result; if (!features || features.length === 0) return null; return ( {/* Map Container */}
{features.length} Locations Found
({ name: feature.name, location: { lat: feature.geometry.coordinates[1], lng: feature.geometry.coordinates[0], }, vicinity: feature.formatted_address, }))} zoom={features.length > 1 ? 12 : 15} />
{/* Place Details Footer */}
{features.map((place: any, index: any) => { const isGoogleResult = place.source === 'google'; return (
{place.feature_type === 'street_address' || place.feature_type === 'street' ? ( ) : place.feature_type === 'locality' ? ( ) : ( )}

{place.name}

{place.formatted_address && (

{place.formatted_address}

)} {place.feature_type.replace(/_/g, ' ')}
Copy Coordinates View in Maps
); })}
); } // Shopping search results if (toolInvocation.toolName === 'shopping_search') { if (!result) { return ; } return (
Shopping Results

Scroll to see more products
{result.map((product: ShoppingProduct) => (
{product.title} {product.rating && (
{product.rating}
)}
{product.title}

{product.price}

))}
); } if (toolInvocation.toolName === 'x_search') { if (!result) { return ; } const PREVIEW_COUNT = 3; // Shared content component const FullTweetList = () => (
{result.map((post: XResult, index: number) => ( ))}
); return (
Latest from X

{result.length} tweets found

{result.slice(0, PREVIEW_COUNT).map((post: XResult, index: number) => ( ))}
{/* Gradient overlay */}
{/* Show More Buttons - Desktop Sheet */}
{/* Desktop Sheet */}
All Tweets
{/* Mobile Drawer */}
All Tweets
); } if (toolInvocation.toolName === 'youtube_search') { if (!result) { return ; } const youtubeResult = result as YouTubeSearchResponse; return (

YouTube Results

{youtubeResult.results.length} videos
{youtubeResult.results.map((video, index) => ( ))}
); } // Academic search results continued... if (toolInvocation.toolName === 'academic_search') { if (!result) { return ; } return (
Academic Papers

Found {result.results.length} papers
{result.results.map((paper: AcademicResult, index: number) => (
{/* Background with gradient border */}
{/* Main content container */}
{/* Title */}

{paper.title}

{/* Authors with better overflow handling */} {paper.author && (
{paper.author.split(';') .slice(0, 2) // Take first two authors .join(', ') + (paper.author.split(';').length > 2 ? ' et al.' : '') }
)} {/* Date if available */} {paper.publishedDate && (
{new Date(paper.publishedDate).toLocaleDateString()}
)} {/* Summary with gradient border */}

{paper.summary}

{/* Actions */}
{paper.url.includes('arxiv.org') && ( )}
))}
); } if (toolInvocation.toolName === 'nearby_search') { if (!result) { return (
Finding nearby {args.type}...
{[0, 1, 2].map((index) => ( ))}
); } console.log(result); return (
); } if (toolInvocation.toolName === 'text_search') { if (!result) { return (
Searching places...
{[0, 1, 2].map((index) => ( ))}
); } const centerLocation = result.results[0]?.geometry?.location; return ( ({ name: place.name, location: place.geometry.location, vicinity: place.formatted_address }))} /> ); } if (toolInvocation.toolName === 'get_weather_data') { if (!result) { return (
Fetching weather data...
{[0, 1, 2].map((index) => ( ))}
); } return ; } if (toolInvocation.toolName === 'programming') { return (

Programming

{!result ? ( Executing ) : ( Executed )}
{args.icon === 'stock' && } {args.icon === 'default' && } {args.icon === 'date' && } {args.icon === 'calculation' && } {args.title}
Code Output {result?.images && result.images.length > 0 && ( Images )} {result?.chart && ( Visualization )}
{args.code}
{result ? ( <> 
                                                            {result.message}
) : (
Executing code...
)}
{result?.images && result.images.length > 0 && (
{result.images.map((img: { format: string, url: string }, imgIndex: number) => (

Image {imgIndex + 1}

{img.url && img.url.trim() !== '' && ( )}
{img.url && img.url.trim() !== '' ? ( {`Generated ) : (
Image upload failed or URL is empty
)}
))}
)} {result?.chart && ( )}
); } if (toolInvocation.toolName === 'web_search') { return (
); } if (toolInvocation.toolName === 'retrieve') { if (!result) { return (
); } return (

{result.results[0].title}

{result.results[0].description}

{result.results[0].language || 'Unknown'} View source
View content
{result.results[0].content}
); } if (toolInvocation.toolName === 'text_translate') { return ; } if (toolInvocation.toolName === 'results_overview') { if (!result) { return (
Generating overview...
); } return ; } if (toolInvocation.toolName === 'track_flight') { if (!result) { return (
Tracking flight...
{[0, 1, 2].map((index) => ( ))}
); } if (result.error) { return (
Error tracking flight: {result.error}
); } return (
); } return null; }, [ResultsOverview, theme] ); interface MarkdownRendererProps { content: string; } interface CitationLink { text: string; link: string; } interface LinkMetadata { title: string; description: string; } const isValidUrl = (str: string) => { try { new URL(str); return true; } catch { return false; } }; const MarkdownRenderer: React.FC = ({ content }) => { const [metadataCache, setMetadataCache] = useState>({}); const citationLinks = useMemo(() => { return Array.from(content.matchAll(/\[([^\]]+)\]\(([^)]+)\)/g)).map(([_, text, link]) => ({ text, link, })); }, [content]); const inlineMathRegex = /\$([^\$]+)\$/g; const blockMathRegex = /\$\$([^\$]+)\$\$/g; const isValidLatex = (text: string): boolean => { // Basic validation - checks for balanced delimiters return !(text.includes('\\') && !text.match(/\\[a-zA-Z{}\[\]]+/)); } const renderLatexString = (text: string) => { let parts = []; let lastIndex = 0; let match; // Try to match inline math first ($...$) while ((match = /\$([^\$]+)\$/g.exec(text.slice(lastIndex))) !== null) { const mathText = match[1]; const fullMatch = match[0]; const matchIndex = lastIndex + match.index; // Add text before math if (matchIndex > lastIndex) { parts.push(text.slice(lastIndex, matchIndex)); } // Only render as LaTeX if valid if (isValidLatex(mathText)) { parts.push({fullMatch}); } else { parts.push(fullMatch); } lastIndex = matchIndex + fullMatch.length; } // Add remaining text if (lastIndex < text.length) { parts.push(text.slice(lastIndex)); } return parts.length > 0 ? parts : text; }; const fetchMetadataWithCache = useCallback(async (url: string) => { if (metadataCache[url]) { return metadataCache[url]; } const metadata = await fetchMetadata(url); if (metadata) { setMetadataCache(prev => ({ ...prev, [url]: metadata })); } return metadata; }, [metadataCache]); interface CodeBlockProps { language: string | undefined; children: string; } const CodeBlock = React.memo(({ language, children }: CodeBlockProps) => { const [isCopied, setIsCopied] = useState(false); const { theme } = useTheme(); const handleCopy = useCallback(async () => { await navigator.clipboard.writeText(children); setIsCopied(true); setTimeout(() => setIsCopied(false), 2000); }, [children]); return (
{language || 'text'}
{children}
); }, (prevProps, nextProps) => prevProps.children === nextProps.children && prevProps.language === nextProps.language ); CodeBlock.displayName = 'CodeBlock'; const LinkPreview = ({ href }: { href: string }) => { const [metadata, setMetadata] = useState(null); const [isLoading, setIsLoading] = useState(false); React.useEffect(() => { setIsLoading(true); fetchMetadataWithCache(href).then((data) => { setMetadata(data); setIsLoading(false); }); }, [href]); if (isLoading) { return (
); } const domain = new URL(href).hostname; return (
Favicon {domain}

{metadata?.title || "Untitled"}

{metadata?.description && (

{metadata.description}

)}
); }; const renderHoverCard = (href: string, text: React.ReactNode, isCitation: boolean = false) => { return ( {text} ); }; const renderer: Partial = { text(text: string) { if (!text.includes('$')) return text; return ( {text} ); }, paragraph(children) { if (typeof children === 'string' && children.includes('$')) { return (

{children}

); } return

{children}

; }, code(children, language) { return {String(children)}; }, link(href, text) { const citationIndex = citationLinks.findIndex(link => link.link === href); if (citationIndex !== -1) { return ( {renderHoverCard(href, citationIndex + 1, true)} ); } return isValidUrl(href) ? renderHoverCard(href, text) : {text}; }, heading(children, level) { const HeadingTag = `h${level}` as keyof JSX.IntrinsicElements; const className = `text-${4 - level}xl font-bold my-4 text-neutral-800 dark:text-neutral-100`; return {children}; }, list(children, ordered) { const ListTag = ordered ? 'ol' : 'ul'; return {children}; }, listItem(children) { return
  • {children}
    • ; }, blockquote(children) { return
    {children}
    ; }, }; return (
    {content}
    ); }; const lastUserMessageIndex = useMemo(() => { for (let i = messages.length - 1; i >= 0; i--) { if (messages[i].role === 'user') { return i; } } return -1; }, [messages]); useEffect(() => { const handleScroll = () => { const userScrolled = window.innerHeight + window.scrollY < document.body.offsetHeight; if (!userScrolled && bottomRef.current && (messages.length > 0 || suggestedQuestions.length > 0)) { bottomRef.current.scrollIntoView({ behavior: "smooth" }); } }; window.addEventListener('scroll', handleScroll); return () => window.removeEventListener('scroll', handleScroll); }, [messages, suggestedQuestions]); const handleExampleClick = async (card: TrendingQuery) => { const exampleText = card.text; track("search example", { query: exampleText }); lastSubmittedQueryRef.current = exampleText; setHasSubmitted(true); setSuggestedQuestions([]); await append({ content: exampleText.trim(), role: 'user', }); }; const handleSuggestedQuestionClick = useCallback(async (question: string) => { setHasSubmitted(true); setSuggestedQuestions([]); await append({ content: question.trim(), role: 'user' }); }, [append]); const handleMessageEdit = useCallback((index: number) => { setIsEditingMessage(true); setEditingMessageIndex(index); setInput(messages[index].content); }, [messages, setInput]); const handleMessageUpdate = useCallback((e: React.FormEvent) => { e.preventDefault(); if (input.trim()) { const updatedMessages = [...messages]; updatedMessages[editingMessageIndex] = { ...updatedMessages[editingMessageIndex], content: input.trim() }; setMessages(updatedMessages); setIsEditingMessage(false); setEditingMessageIndex(-1); handleSubmit(e); } else { toast.error("Please enter a valid message."); } }, [input, messages, editingMessageIndex, setMessages, handleSubmit]); interface NavbarProps { } const Navbar: React.FC = () => { return (

    Sponsor this project on GitHub
    ); }; const SuggestionCards: React.FC<{ selectedModel: string; trendingQueries: TrendingQuery[]; }> = ({ selectedModel, trendingQueries }) => { const [isLoading, setIsLoading] = useState(true); const scrollRef = useRef(null); const [isPaused, setIsPaused] = useState(false); const scrollIntervalRef = useRef(); const [isTouchDevice, setIsTouchDevice] = useState(false); useEffect(() => { setIsLoading(false); setIsTouchDevice('ontouchstart' in window); }, [trendingQueries]); useEffect(() => { if (isTouchDevice) return; // Disable auto-scroll on touch devices const startScrolling = () => { if (!scrollRef.current || isPaused) return; scrollRef.current.scrollLeft += 1; // Reduced speed // Reset scroll when reaching end if (scrollRef.current.scrollLeft >= (scrollRef.current.scrollWidth - scrollRef.current.clientWidth)) { scrollRef.current.scrollLeft = 0; } }; scrollIntervalRef.current = setInterval(startScrolling, 30); return () => { if (scrollIntervalRef.current) { clearInterval(scrollIntervalRef.current); } }; }, [isPaused, isTouchDevice]); if (isLoading || trendingQueries.length === 0) { return (
    {/* Overlay with Loading Text */}
    Loading trending queries
    {/* Background Cards */}
    {[1, 2, 3].map((_, index) => (
    ))}
    ); } const getIconForCategory = (category: string) => { const iconMap = { trending: , community: , science: , tech: , travel: , politics: , health: , sports: , finance: , football: , }; return iconMap[category as keyof typeof iconMap] || ; }; return (
    {/* Gradient Fades */}
    !isTouchDevice && setIsPaused(true)} onMouseLeave={() => !isTouchDevice && setIsPaused(false)} onTouchStart={() => setIsPaused(true)} onTouchEnd={() => setIsPaused(false)} > {Array(20).fill(trendingQueries).flat().map((query, index) => ( ))}
    ); }; const handleModelChange = useCallback((newModel: string) => { setSelectedModel(newModel); setSuggestedQuestions([]); reload({ body: { model: newModel } }); }, [reload]); const resetSuggestedQuestions = useCallback(() => { setSuggestedQuestions([]); }, []); const memoizedMessages = useMemo(() => messages, [messages]); const memoizedSuggestionCards = useMemo(() => ( ), [selectedModel, trendingQueries]); return (
    {!hasSubmitted && (
    setOpenChangelog(true)} className="cursor-pointer gap-1 mb-2 bg-green-100 dark:bg-green-900 text-green-800 dark:text-green-200" variant="secondary" > What's new

    MiniPerplx

    In search for minimalism and simplicity

    )} {!hasSubmitted && ( {memoizedSuggestionCards} )}
    {memoizedMessages.map((message, index) => (
    {message.role === 'user' && (
    {isEditingMessage && editingMessageIndex === index ? (
    setInput(e.target.value)} className="flex-grow bg-white dark:bg-neutral-800 text-neutral-900 dark:text-neutral-100" />
    ) : (

    {message.content}

    {message.experimental_attachments?.map((attachment, attachmentIndex) => (
    {attachment.contentType!.startsWith('image/') && ( {attachment.name )}
    ))}
    )}
    {!isEditingMessage && index === lastUserMessageIndex && (
    )}     )} {message.role === 'assistant' && message.content !== null && !message.toolInvocations && (

    Answer

    )} {message.toolInvocations?.map((toolInvocation: ToolInvocation, toolIndex: number) => (
    {renderToolInvocation(toolInvocation, toolIndex)}
    ))}
    ))} {suggestedQuestions.length > 0 && (

    Suggested questions

    {suggestedQuestions.map((question, index) => ( ))}
    )}
    {hasSubmitted && ( )}
    ); } const LoadingFallback = () => (

    MiniPerplx

    Loading your minimalist AI experience...

    ); const Home = () => { return ( }> ); }; export default Home;