{"version":3,"file":"script_main.C4FGcMuQ.mjs","names":["useState","useRef","useCallback","track","scrollY","p","r","Fragment","useRef","React.useId","React.createElement","Template1","Framer.PageRoot","Framer.lazy","Framer.useCurrentRoute","Framer.useLocaleInfo","Framer.useRouter","React.Fragment","React.memo","React.useCallback","React.useEffect","React.useRef","React.useState","React.useLayoutEffect","Framer.LazyValue","Framer.LibraryFeaturesProvider","Framer.GracefullyDegradingErrorBoundary","Framer.PageEffectsProvider","breakpoints","Framer.patchRoutesForABTesting","routeData","Framer.inferInitialRouteFromPath","Framer.yieldToMain","React.startTransition","Framer.ErrorPlaceholder"],"sources":["https:/framerusercontent.com/modules/LxK0xbGjOnzasAmm6lVr/cNYRoxDfPwYYuXG5Bllm/gemini.js","https:/framerusercontent.com/modules/y2XzcbjzTpEsdxYY52r6/6MsRfPw6OWvtmqaprhGD/fY3FW_18y.js","framer:toplevel/main"],"sourcesContent":["// @ts-nocheck\n// -----------------------------------------------------------------------------\n// Imports\n// -----------------------------------------------------------------------------\nimport{jsx as _jsx,jsxs as _jsxs}from\"react/jsx-runtime\";import{useState,useRef,useEffect,startTransition,useCallback,Fragment}from\"react\";import{flushSync}from\"react-dom\";import{addPropertyControls,ControlType,RenderTarget}from\"framer\";import{motion,useDragControls,useScroll,useMotionValueEvent,AnimatePresence}from\"framer-motion\";// -----------------------------------------------------------------------------\n// Constants\n// -----------------------------------------------------------------------------\nconst DESKTOP_BREAKPOINT=855;const DEFAULT_EXPANDED_BOTTOM_OFFSET=32;const DEFAULT_EXPANDED_INPUT_BG=\"rgba(255,255,255,0.95)\";const DRAG_CLOSE_THRESHOLD_Y=64;const DEFAULT_FONT_INFO={fontFamily:\"Inter, sans-serif\",fontSize:16,fontWeight:400,fontStyle:\"normal\",letterSpacing:0,lineHeight:1.5,textAlign:\"left\"};// User abuse guardrails\n// These are designed to prevent abuse and ensure the API is used responsibly\nconst SUGGESTION_MODEL_ID=\"gemini-3-flash-preview\";const INLINE_MAX_BYTES=20*1024*1024// 20MB\n;const MAX_INPUT_LENGTH=1e3// Limit input characters\n;const MESSAGE_RATE_LIMIT_MS=1e3// 1 second between messages\n;const API_TIMEOUT_MS=3e4// 30 seconds timeout\n;const MAX_HISTORY_MESSAGES=20// Limit history context\n;const DAILY_MESSAGE_LIMIT=100// Limit messages per day\n;const MAX_UPLOAD_SIZE_MB=10// Max upload size in MB\n;// Gemini Native Audio Output Rate\nconst MODEL_OUTPUT_SAMPLE_RATE=24e3;// We will downsample input to this rate for robustness\nconst INPUT_TARGET_SAMPLE_RATE=16e3;// -----------------------------------------------------------------------------\n// Audio Processing Helpers for Live API\n// -----------------------------------------------------------------------------\n/**\n * High-pass filter to remove low-frequency noise (rumble, hum)\n */function highPassFilter(audioData,sampleRate,cutoffFreq=80){const RC=1/(cutoffFreq*2*Math.PI);const dt=1/sampleRate;const alpha=RC/(RC+dt);const filtered=new Float32Array(audioData.length);filtered[0]=audioData[0];for(let i=1;i<audioData.length;i++){filtered[i]=alpha*(filtered[i-1]+audioData[i]-audioData[i-1]);}return filtered;}/**\n * Dynamic range compression / normalization to handle varying speech volumes\n */function normalizeAudio(audioData){let maxAmp=0;for(let i=0;i<audioData.length;i++){const amp=Math.abs(audioData[i]);if(amp>maxAmp)maxAmp=amp;}if(maxAmp===0)return audioData;// Normalize to 0.7 to leave headroom and avoid clipping\nconst normalized=new Float32Array(audioData.length);const targetLevel=.7;const gain=targetLevel/maxAmp;for(let i=0;i<audioData.length;i++){normalized[i]=audioData[i]*gain;}return normalized;}/**\n * Improved Voice Activity Detection using RMS energy and zero-crossing rate\n */function detectVoiceActivity(audioData,threshold){// Calculate RMS energy\nlet sumSquares=0;let zeroCrossings=0;for(let i=0;i<audioData.length;i++){sumSquares+=audioData[i]*audioData[i];// Count zero crossings\nif(i>0&&audioData[i]*audioData[i-1]<0){zeroCrossings++;}}const rms=Math.sqrt(sumSquares/audioData.length);const zcr=zeroCrossings/audioData.length;// Voice typically has RMS above threshold and moderate zero-crossing rate\n// ZCR helps distinguish voice from pure noise\nreturn rms>threshold&&zcr>.01&&zcr<.5;}function base64ToFloat32Array(base64){const binaryString=atob(base64);const len=binaryString.length;const bytes=new Uint8Array(len);for(let i=0;i<len;i++){bytes[i]=binaryString.charCodeAt(i);}const int16=new Int16Array(bytes.buffer);const float32=new Float32Array(int16.length);for(let i=0;i<int16.length;i++){float32[i]=int16[i]/32768;}return float32;}function float32ToBase64(float32){const int16=new Int16Array(float32.length);for(let i=0;i<float32.length;i++){const s=Math.max(-1,Math.min(1,float32[i]));int16[i]=s<0?s*32768:s*32767;}const bytes=new Uint8Array(int16.buffer);let binary=\"\";for(let i=0;i<bytes.byteLength;i++){binary+=String.fromCharCode(bytes[i]);}return btoa(binary);}/**\n * High-quality downsampler with anti-aliasing to prevent frequency artifacts\n * Uses linear interpolation and averaging for better audio quality\n */function downsampleBuffer(buffer,inputRate,outputRate){if(outputRate===inputRate)return buffer;const sampleRateRatio=inputRate/outputRate;const newLength=Math.round(buffer.length/sampleRateRatio);const result=new Float32Array(newLength);// Downsample with linear interpolation and averaging to prevent aliasing\nfor(let i=0;i<newLength;i++){const srcIndex=i*sampleRateRatio;const srcIndexInt=Math.floor(srcIndex);const fraction=srcIndex-srcIndexInt;// Average multiple source samples for anti-aliasing (low-pass filter)\nlet sum=0;let count=0;const windowSize=Math.ceil(sampleRateRatio);for(let j=0;j<windowSize&&srcIndexInt+j<buffer.length;j++){sum+=buffer[srcIndexInt+j];count++;}const averaged=count>0?sum/count:0;// Linear interpolation for smoothness\nif(srcIndexInt+1<buffer.length&&fraction>0){result[i]=averaged*(1-fraction*.5)+buffer[srcIndexInt+1]*(fraction*.5);}else{result[i]=averaged;}}return result;}// -----------------------------------------------------------------------------\n// Helper Functions\n// -----------------------------------------------------------------------------\nfunction getAlphaFromColorString(color){if(!color||typeof color!==\"string\")return 1;const trimmedColor=color.toLowerCase().trim();if(trimmedColor===\"transparent\")return 0;let match=trimmedColor.match(/^rgba\\(\\s*\\d+\\s*,\\s*\\d+\\s*,\\s*\\d+\\s*,\\s*([\\d.]+)\\s*\\)$/)||trimmedColor.match(/^rgba\\(\\s*\\d+\\s+\\d+\\s+\\d+\\s*\\/\\s*([\\d.]+)\\s*\\)$/);if(match&&match[1])return parseFloat(match[1]);match=trimmedColor.match(/^hsla\\(\\s*[\\d.]+\\s*,\\s*[\\d.]+%?\\s*,\\s*[\\d.]+%?\\s*,\\s*([\\d.]+)\\s*\\)$/)||trimmedColor.match(/^hsla\\(\\s*[\\d.]+\\s+[\\d.]+%?\\s+[\\d.]+%?\\s*\\/\\s*([\\d.]+)\\s*\\)$/);if(match&&match[1])return parseFloat(match[1]);if(trimmedColor.startsWith(\"#\")){const hex=trimmedColor.substring(1);if(hex.length===8){return parseInt(hex.substring(6,8),16)/255;}if(hex.length===4){return parseInt(hex.substring(3,4)+hex.substring(3,4),16)/255;}}return 1;}function ensureProtocol(url){if(url.startsWith(\"mailto:\")||url.startsWith(\"tel:\")||url.startsWith(\"http://\")||url.startsWith(\"https://\")){return url;}if(url.includes(\".\")&&!url.includes(\" \")&&!url.startsWith(\"/\")){if(/[a-zA-Z0-9-]+\\.[a-zA-Z]{2,}/.test(url.split(\"/\")[0])){return\"https://\"+url;}}return url;}function stripMarkdownForTTS(markdownText){if(!markdownText)return\"\";return markdownText.replace(/^#{1,6}\\s+/gm,\"\").replace(/(\\*\\*|__)(.*?)\\1/g,\"$2\").replace(/<(?:strong|b)>(.*?)<\\/(?:strong|b)>/g,\"$1\").replace(/(\\*|_)(.*?)\\1/g,\"$2\").replace(/<(?:em|i)>(.*?)<\\/(?:em|i)>/g,\"$1\").replace(/~~(.*?)~~/g,\"$1\").replace(/`([^`]+)`/g,\"$1\").replace(/\\[([^\\]]+)\\]\\([^\\)]+\\)/g,\"$1\").replace(/<a\\s+(?:[^>]*?\\s+)?href=\"[^\"]*\"[^>]*>(.*?)<\\/a>/g,\"$1\").replace(/!\\[([^\\]]*)\\]\\([^\\)]+\\)/g,\"$1\").replace(/^\\s*[-*+]\\s+/gm,\"\").replace(/^\\s*\\d+\\.\\s+/gm,\"\").replace(/\\n+/g,\" \").trim();}// -----------------------------------------------------------------------------\n// Markdown Parsing & Rendering\n// -----------------------------------------------------------------------------\nconst applyInlineFormatting=(textSegment,keyPrefix,linkStyle)=>{if(!textSegment)return[];const parts=[];let lastIndex=0;// Improved regex with better URL detection\n// Order matters: specific patterns (markdown links, HTML) before auto-detection\nconst combinedRegex=/(\\*\\*(.*?)\\*\\*|__(.*?)__|<strong>(.*?)<\\/strong>|<b>(.*?)<\\/b>|\\`([^`]+)\\`|~~(.*?)~~|(\\*|_)(.*?)\\8|<em>(.*?)<\\/em>|<i>(.*?)<\\/i>|\\[([^\\]]+?)\\]\\(([^)]+?)\\)|<a\\s+(?:[^>]*?\\s+)?href=\"([^\"]*)\"[^>]*>(.*?)<\\/a>|([a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,63})|(https?:\\/\\/[^\\s<>\"{}|\\\\^`\\[\\]]+[^\\s<>\"{}|\\\\^`\\[\\].,;:!?)])|([a-zA-Z0-9][-a-zA-Z0-9]*\\.)+[a-zA-Z]{2,}(?::\\d+)?(?:\\/[^\\s<>\"{}|\\\\^`\\[\\]]*)?(?=[.,;:!?)]*(?:\\s|$)))/gi;let match;while((match=combinedRegex.exec(textSegment))!==null){if(match.index>lastIndex){parts.push(textSegment.substring(lastIndex,match.index));}const[fullMatch,matchText,boldInner,boldInner2,strongInner,bInner,codeInner,strikeInner,italicDelim,italicInner,emInner,iInner,linkText,linkUrl,htmlLinkUrl,htmlLinkText,email,httpUrl,plainUrl]=match;if(boldInner!==undefined||boldInner2!==undefined||strongInner!==undefined||bInner!==undefined){parts.push(/*#__PURE__*/_jsx(\"strong\",{children:boldInner||boldInner2||strongInner||bInner},`${keyPrefix}-${match.index}-b`));}else if(codeInner!==undefined){parts.push(/*#__PURE__*/_jsx(\"span\",{className:\"chat-markdown-inline-code\",children:codeInner},`${keyPrefix}-${match.index}-code`));}else if(strikeInner!==undefined){parts.push(/*#__PURE__*/_jsx(\"del\",{children:strikeInner},`${keyPrefix}-${match.index}-del`));}else if(italicInner!==undefined||emInner!==undefined||iInner!==undefined){parts.push(/*#__PURE__*/_jsx(\"em\",{children:italicInner||emInner||iInner},`${keyPrefix}-${match.index}-em`));}else if(linkText!==undefined&&linkUrl!==undefined){parts.push(/*#__PURE__*/_jsx(\"a\",{href:ensureProtocol(linkUrl),target:\"_blank\",rel:\"noopener noreferrer\",style:linkStyle,children:linkText},`${keyPrefix}-${match.index}-a`));}else if(htmlLinkText!==undefined&&htmlLinkUrl!==undefined){parts.push(/*#__PURE__*/_jsx(\"a\",{href:ensureProtocol(htmlLinkUrl),target:\"_blank\",rel:\"noopener noreferrer\",style:linkStyle,children:htmlLinkText},`${keyPrefix}-${match.index}-html-a`));}else if(email!==undefined){parts.push(/*#__PURE__*/_jsx(\"a\",{href:`mailto:${email}`,style:linkStyle,children:email},`${keyPrefix}-${match.index}-mail`));}else if(httpUrl!==undefined){parts.push(/*#__PURE__*/_jsx(\"a\",{href:httpUrl,target:\"_blank\",rel:\"noopener noreferrer\",style:linkStyle,children:httpUrl},`${keyPrefix}-${match.index}-http`));}else if(plainUrl!==undefined){parts.push(/*#__PURE__*/_jsx(\"a\",{href:ensureProtocol(plainUrl),target:\"_blank\",rel:\"noopener noreferrer\",style:linkStyle,children:plainUrl},`${keyPrefix}-${match.index}-url`));}else{parts.push(fullMatch);}lastIndex=match.index+fullMatch.length;}if(lastIndex<textSegment.length){parts.push(textSegment.substring(lastIndex));}return parts;};const renderTable=(block,key,baseStyle,linkStyle)=>{const lines=block.trim().split(\"\\n\");if(lines.length<2)return null;const headerLine=lines[0];const separatorLine=lines[1];const bodyLines=lines.slice(2);if(!separatorLine.includes(\"-\")||!separatorLine.includes(\"|\"))return null;const headers=headerLine.split(\"|\").filter(h=>h.trim().length>0).map(h=>h.trim());const rows=bodyLines.map(line=>line.split(\"|\").filter(c=>c.trim().length>0).map(c=>c.trim()));return /*#__PURE__*/_jsx(\"div\",{style:{overflowX:\"auto\",maxWidth:\"100%\",display:\"block\"},children:/*#__PURE__*/_jsxs(\"table\",{className:\"chat-markdown-table\",children:[/*#__PURE__*/_jsx(\"thead\",{children:/*#__PURE__*/_jsx(\"tr\",{children:headers.map((h,i)=>/*#__PURE__*/_jsx(\"th\",{children:applyInlineFormatting(h,`${key}-th-${i}`,linkStyle)},`th-${i}`))})}),/*#__PURE__*/_jsx(\"tbody\",{children:rows.map((row,i)=>/*#__PURE__*/_jsx(\"tr\",{children:row.map((cell,j)=>/*#__PURE__*/_jsx(\"td\",{children:applyInlineFormatting(cell,`${key}-td-${i}-${j}`,linkStyle)},`td-${i}-${j}`))},`tr-${i}`))})]})},key);};const renderSimpleMarkdown=(markdownText,baseTextStyle,linkStyle)=>{if(!markdownText)return /*#__PURE__*/_jsx(Fragment,{});const codeBlockRegex=/(```[\\s\\S]*?```)/g;const segments=markdownText.split(codeBlockRegex);const renderedSegments=segments.map((segment,segIndex)=>{if(segment.startsWith(\"```\")){const content=segment.replace(/^```\\w*\\n?/,\"\").replace(/```$/,\"\");return /*#__PURE__*/_jsx(\"div\",{className:\"chat-markdown-code-block\",children:content},`codeblock-${segIndex}`);}const blocks=segment.split(/\\n{2,}/);return blocks.map((block,blockIndex)=>{const key=`seg-${segIndex}-blk-${blockIndex}`;const trimmed=block.trim();if(!trimmed)return null;if(trimmed.includes(\"|\")&&trimmed.includes(\"\\n\")&&trimmed.split(\"\\n\")[1].includes(\"---\")){const table=renderTable(trimmed,key,baseTextStyle,linkStyle);if(table)return table;}if(/^---+$|^\\*\\*\\*+$/.test(trimmed)){return /*#__PURE__*/_jsx(\"hr\",{className:\"chat-markdown-hr\"},key);}const headingMatch=trimmed.match(/^(#{1,6})\\s+(.*)/);if(headingMatch){const level=headingMatch[1].length;const content=headingMatch[2];const sizes=[24,20,18,16,14,12];return /*#__PURE__*/_jsx(\"div\",{style:{...baseTextStyle,fontSize:`${Math.max(sizes[level-1],14)}px`,fontWeight:\"bold\",margin:\"0.5em 0\"},children:applyInlineFormatting(content,`${key}-h`,linkStyle)},key);}if(trimmed.startsWith(\">\")){const content=trimmed.replace(/^>\\s?/gm,\"\").trim();return /*#__PURE__*/_jsx(\"blockquote\",{className:\"chat-markdown-blockquote\",children:applyInlineFormatting(content,`${key}-qt`,linkStyle)},key);}if(/^[-*]\\s/.test(trimmed)){const items=trimmed.split(\"\\n\").map(l=>l.replace(/^[-*]\\s+/,\"\"));return /*#__PURE__*/_jsx(\"ul\",{style:{paddingLeft:20,margin:\"0.5em 0\",listStyleType:\"disc\"},children:items.map((item,i)=>/*#__PURE__*/_jsx(\"li\",{style:baseTextStyle,children:applyInlineFormatting(item,`${key}-li-${i}`,linkStyle)},`${key}-li-${i}`))},key);}if(/^\\d+\\.\\s/.test(trimmed)){const items=trimmed.split(\"\\n\").map(l=>l.replace(/^\\d+\\.\\s+/,\"\"));return /*#__PURE__*/_jsx(\"ol\",{style:{paddingLeft:20,margin:\"0.5em 0\",listStyleType:\"decimal\"},children:items.map((item,i)=>/*#__PURE__*/_jsx(\"li\",{style:baseTextStyle,children:applyInlineFormatting(item,`${key}-li-${i}`,linkStyle)},`${key}-li-${i}`))},key);}return /*#__PURE__*/_jsx(\"div\",{style:{...baseTextStyle,margin:\"0.5em 0\"},children:applyInlineFormatting(trimmed,`${key}-p`,linkStyle)},key);});});return /*#__PURE__*/_jsx(Fragment,{children:renderedSegments});};// -----------------------------------------------------------------------------\n// Main ChatOverlay Component\n// -----------------------------------------------------------------------------\nexport default function ChatOverlay(props){const{geminiApiKey,model,reasoningEffort,systemPrompt,welcomeMessage=\"Hi, how can I help?\",placeholder,inputBarBackground,expandedInputAreaBackground,chatAreaBackground,userMessageBackgroundColor,shadow,iconColor,sendIconColor,sendBgColor,textColor,placeholderTextColor,linkColor=\"#007AFF\",sendIconOverrideUrl,loadingIconOverrideUrl,textFont=DEFAULT_FONT_INFO,style,rotateSuggestions=true,defaultSuggestions=[],suggestionRotateInterval=3,enableAiSuggestions=true,universalBorderRadius=24,enableScrollReveal=true,enableGeminiLive=true,interruptionThreshold=.01,allowImages=true,allowVideos=false,allowDocuments=false}=props;const baseFontSize=typeof textFont.fontSize===\"number\"?textFont.fontSize:parseFloat(textFont.fontSize)||16;const tableFontSize=Math.max(10,baseFontSize-1)+\"px\";const markdownStyles=`\n        .chat-markdown-table {\n            width: 100%;\n            border-collapse: collapse;\n            margin: 1em 0;\n            font-size: ${tableFontSize};\n        }\n        .chat-markdown-table th,\n        .chat-markdown-table td {\n            border-bottom: 1px solid ${props.iconColor?props.iconColor.replace(\")\",\", 0.1)\").replace(\"rgb\",\"rgba\"):\"rgba(0,0,0,0.1)\"};\n            padding: 8px 12px;\n            text-align: left;\n            color: ${props.textColor};\n        }\n        .chat-markdown-table th {\n            font-weight: 600;\n        }\n        .chat-markdown-code-block {\n            background: rgba(0,0,0,0.03);\n            border: 1px solid rgba(0,0,0,0.06);\n            color: ${props.textColor};\n            padding: 12px;\n            border-radius: 8px;\n            overflow-x: auto;\n            font-family: 'Menlo', 'Monaco', 'Courier New', monospace;\n            font-size: 0.85em;\n            margin: 1em 0;\n            white-space: pre;\n        }\n        .chat-markdown-inline-code {\n            background: rgba(0,0,0,0.05);\n            padding: 2px 4px;\n            border-radius: 4px;\n            font-family: 'Menlo', 'Monaco', 'Courier New', monospace;\n            font-size: 0.9em;\n            color: ${props.linkColor};\n        }\n        .chat-markdown-blockquote {\n            border-left: 4px solid ${props.iconColor||\"rgba(0,0,0,0.2)\"};\n            padding-left: 16px;\n            margin: 1em 0;\n            opacity: 0.8;\n            font-style: italic;\n        }\n        .chat-markdown-hr {\n            border: 0;\n            height: 1px;\n            background: ${props.iconColor?props.iconColor.replace(\")\",\", 0.1)\").replace(\"rgb\",\"rgba\"):\"rgba(0,0,0,0.1)\"};\n            margin: 1.5em 0;\n        }\n        .chat-overlay-collapsed-input::placeholder { color: transparent; opacity: 0; }\n        .chat-overlay-collapsed-input::-webkit-input-placeholder { color: transparent; opacity: 0; }\n        .chat-overlay-collapsed-input::-moz-placeholder { color: transparent; opacity: 0; }\n    `;const placeholderStyleTagContent=`\n      .chat-overlay-collapsed-input::placeholder {\n          color: transparent;\n          opacity: 0;\n      }\n      .chat-overlay-collapsed-input::-webkit-input-placeholder {\n          color: transparent;\n          opacity: 0;\n      }\n      .chat-overlay-collapsed-input::-moz-placeholder {\n          color: transparent;\n          opacity: 0;\n      }\n      .chat-overlay-collapsed-input:-ms-input-placeholder {\n          color: transparent;\n          opacity: 0;\n      }\n      .chat-overlay-collapsed-input::-ms-input-placeholder {\n          color: transparent;\n          opacity: 0;\n      }\n      \n      /* --- VIEW TRANSITIONS API STYLES --- */\n      \n      /* 1. The Container Geometry (Position/Size) */\n      ::view-transition-group(chat-overlay-morph) {\n        /* Faster duration for snappier collapse */\n        animation-duration: 0.2s;\n        animation-timing-function: cubic-bezier(0.4, 0, 0.2, 1);\n        overflow: hidden;\n        border-radius: ${universalBorderRadius}px;\n        z-index: 10;\n      }\n\n      /* 2. The Content Snapshots (Pill vs Card) */\n      ::view-transition-old(chat-overlay-morph),\n      ::view-transition-new(chat-overlay-morph) {\n        /* 'cover' prevents the stretching/bending */\n        height: 100%;\n        width: 100%;\n        object-fit: cover; \n        object-position: center; /* Keeps content centered while scaling */\n        overflow: clip;\n        mix-blend-mode: plus-lighter;\n      }\n      \n      /* 3. Animation Timing - Overlap them to prevent \"empty/clipped\" look */\n      \n      /* Old content (Disappearing) */\n      ::view-transition-old(chat-overlay-morph) {\n        /* Fade out matching the new content fade in to maintain opacity via plus-lighter */\n        animation: 0.2s ease-out both fade-out;\n      }\n\n      /* New content (Appearing) */\n      ::view-transition-new(chat-overlay-morph) {\n        /* Start fading in IMMEDIATELY (no delay) to fill the void */\n        animation: 0.2s ease-out both fade-in;\n      }\n      \n      /* --- Send/Call Button Morph --- */\n      ::view-transition-group(send-button-morph) {\n        animation-duration: 0.2s;\n        animation-timing-function: cubic-bezier(0.4, 0, 0.2, 1);\n        z-index: 20;\n      }\n\n      ::view-transition-new(send-button-morph),\n      ::view-transition-old(send-button-morph) {\n        animation: none;\n      }\n\n      @keyframes fade-out { \n        0% { opacity: 1; }\n        100% { opacity: 0; } \n      }\n      @keyframes fade-in { \n        0% { opacity: 0; }\n        100% { opacity: 1; } \n      }\n  `;const isCanvas=RenderTarget.current()===RenderTarget.canvas;const[copiedMessageIndex,setCopiedMessageIndex]=useState(null);const copyTimeoutRef=useRef(null);useEffect(()=>{return()=>{if(copyTimeoutRef.current)clearTimeout(copyTimeoutRef.current);};},[]);const handleCopy=useCallback((text,index)=>{if(typeof navigator!==\"undefined\"&&navigator.clipboard){navigator.clipboard.writeText(text);if(copyTimeoutRef.current)clearTimeout(copyTimeoutRef.current);setCopiedMessageIndex(index);copyTimeoutRef.current=setTimeout(()=>{setCopiedMessageIndex(null);},2e3);}},[]);async function uploadFileToGemini(file){try{const endpoint=`https://generativelanguage.googleapis.com/upload/v1beta/files?key=${geminiApiKey}&uploadType=media`;const res=await fetch(endpoint,{method:\"POST\",headers:{\"Content-Type\":file.type||\"application/octet-stream\"},body:file});if(!res.ok)return null;const data=await res.json();const uri=data?.file?.uri||data?.uri||data?.name||\"\";if(!uri)return null;return{uri,name:data?.file?.displayName||file.name,mimeType:data?.file?.mimeType||file.type};}catch(e){return null;}}const dragControls=useDragControls();const{scrollY}=useScroll();const globalFontStyles={fontFamily:textFont.fontFamily,fontSize:typeof textFont.fontSize===\"number\"?`${textFont.fontSize}px`:textFont.fontSize,fontWeight:textFont.fontWeight,fontStyle:textFont.fontStyle,lineHeight:typeof textFont.lineHeight===\"number\"&&textFont.lineHeight>5?`${textFont.lineHeight}px`:textFont.lineHeight||DEFAULT_FONT_INFO.lineHeight,letterSpacing:typeof textFont.letterSpacing===\"number\"?`${textFont.letterSpacing}px`:textFont.letterSpacing};const[input,setInput]=useState(\"\");const acceptedFileTypes=[...allowImages?[\"image/*\"]:[],...allowVideos?[\"video/*\"]:[],...allowDocuments?[\"audio/*\",\".pdf\",\".txt\",\".md\",\".doc\",\".docx\",\".ppt\",\".pptx\",\".csv\",\".json\",\".xml\",\"application/*\"]:[]].join(\",\");const showAttachmentButton=allowImages||allowVideos||allowDocuments;const[expanded,setExpanded]=useState(false);const[messages,setMessages]=useState(()=>{const initialMessages=[{role:\"system\",content:systemPrompt||\"You are a helpful assistant.\"}];if(welcomeMessage&&welcomeMessage.trim()!==\"\"){initialMessages.push({role:\"assistant\",content:welcomeMessage});}return initialMessages;});const[isLoading,setIsLoading]=useState(false);// Rotating suggestions logic for collapsed placeholder\nconst[currentSuggestionIndex,setCurrentSuggestionIndex]=useState(0);const allDefaultSuggestions=defaultSuggestions.filter(s=>s&&s.trim()!==\"\");// Create rotation cycle: placeholder first, then suggestions\nconst rotationCycle=rotateSuggestions&&allDefaultSuggestions.length>0?[placeholder,...allDefaultSuggestions]:[placeholder];// Cycle through placeholder + suggestions in collapsed view\nuseEffect(()=>{if(isCanvas||expanded||!rotateSuggestions||rotationCycle.length<=1)return;// Reset index when suggestions change\nsetCurrentSuggestionIndex(0);const intervalId=setInterval(()=>{setCurrentSuggestionIndex(prev=>(prev+1)%rotationCycle.length);},Math.max(1,suggestionRotateInterval)*1e3);return()=>clearInterval(intervalId);},[rotationCycle.length,suggestionRotateInterval,isCanvas,rotateSuggestions,expanded]);// Determine active placeholder text for collapsed view\nconst activePlaceholder=rotateSuggestions&&rotationCycle.length>1?rotationCycle[currentSuggestionIndex]:placeholder;const[error,setError]=useState(\"\");const[streamed,setStreamed]=useState(\"\");const[imageFile,setImageFile]=useState(null);const[imagePreviewUrl,setImagePreviewUrl]=useState(\"\");const[attachmentPreview,setAttachmentPreview]=useState(null);const[attachmentFile,setAttachmentFile]=useState(null);const[isRecording,setIsRecording]=useState(false);const[recordedAudioUrl,setRecordedAudioUrl]=useState(\"\");const mediaRecorderRef=useRef(null);const audioChunksRef=useRef([]);const[speakingMessageIndex,setSpeakingMessageIndex]=useState(null);const[isMobileView,setIsMobileView]=useState(typeof window!==\"undefined\"?window.innerWidth<DESKTOP_BREAKPOINT:false);// Enable view transitions if supported\nconst supportsViewTransitions=typeof document!==\"undefined\"&&\"startViewTransition\"in document;const[selectedVoice,setSelectedVoice]=useState(null);const[expandedViewBottomOffset,setExpandedViewBottomOffset]=useState(DEFAULT_EXPANDED_BOTTOM_OFFSET);const[aiGeneratedSuggestions,setAiGeneratedSuggestions]=useState([]);const abortControllerRef=useRef(null);const inputBarRef=useRef(null);const collapsedInputRef=useRef(null);const inputRef=useRef(null);const fileInputRef=useRef(null);const messagesEndRef=useRef(null);const utteranceRef=useRef(null);const recordedAudioBlobRef=useRef(null);const expandedOverlayRef=useRef(null);const initialFocusPendingRef=useRef(true);const scrollContainerRef=useRef(null);const gestureStartRef=useRef(null);const prevIsLoadingRef=useRef(isLoading);const prevExpandedRef=useRef(expanded);const prevScrollY=useRef(typeof window!==\"undefined\"?window.scrollY:0);const lastMessageTimeRef=useRef(0);// -------------------------------------------------------------------------\n// -------------------------------------------------------------------------\n// Gemini Live API with Built-in Interruption Support\n// -------------------------------------------------------------------------\n// How interruption works:\n// 1. We continuously stream user audio to the API (even while AI is talking)\n// 2. The API has built-in VAD that automatically detects when user speaks\n// 3. When the API detects interruption, it sends: { serverContent: { interrupted: true } }\n// 4. We immediately stop all audio playback and discard the audio buffer\n// 5. We continue streaming user audio so the API can process the new input\n// 6. No manual signaling needed - the API handles everything!\n// -------------------------------------------------------------------------\nconst[isLiveMode,setIsLiveMode]=useState(false);const[isLiveGenerating,setIsLiveGenerating]=useState(false);const[userIsSpeaking,setUserIsSpeaking]=useState(false);const liveClientRef=useRef(null);const liveAudioContextRef=useRef(null);const liveInputStreamRef=useRef(null);const liveProcessorRef=useRef(null);const liveSourceRef=useRef(null);const liveNextPlayTimeRef=useRef(0);const activeAudioSourcesRef=useRef([]);const lastUserSpeechTimeRef=useRef(0);const lastTranscriptionTimeRef=useRef(0);const transcriptionTimeoutRef=useRef(null);const suggestionsGeneratedForTurnRef=useRef(false);const isUserMessageInProgressRef=useRef(false);// Use refs for real-time checks inside audio processor (avoid stale closure)\nconst isLiveGeneratingRef=useRef(false);const userIsSpeakingRef=useRef(false);// Stop all currently playing AI audio sources\n// Called when the server sends interrupted: true\nconst stopAllAudio=useCallback(()=>{activeAudioSourcesRef.current.forEach(source=>{try{source.stop();source.disconnect();}catch(e){// Source may already be stopped\n}});activeAudioSourcesRef.current=[];// Reset the play time so new audio starts immediately after interruption\nif(liveAudioContextRef.current){liveNextPlayTimeRef.current=liveAudioContextRef.current.currentTime;}},[]);const stopLiveSession=useCallback(()=>{stopAllAudio();if(liveClientRef.current){liveClientRef.current.close();liveClientRef.current=null;}if(liveProcessorRef.current){liveProcessorRef.current.disconnect();liveProcessorRef.current=null;}if(liveSourceRef.current){liveSourceRef.current.disconnect();liveSourceRef.current=null;}if(liveInputStreamRef.current){liveInputStreamRef.current.getTracks().forEach(track=>track.stop());liveInputStreamRef.current=null;}if(liveAudioContextRef.current){liveAudioContextRef.current.close();liveAudioContextRef.current=null;}if(transcriptionTimeoutRef.current){clearTimeout(transcriptionTimeoutRef.current);transcriptionTimeoutRef.current=null;}setIsLiveMode(false);isLiveGeneratingRef.current=false;setIsLiveGenerating(false);userIsSpeakingRef.current=false;setUserIsSpeaking(false);suggestionsGeneratedForTurnRef.current=false;isUserMessageInProgressRef.current=false;},[stopAllAudio]);const fetchAiSuggestions=useCallback(async lastAiMessageContent=>{if(!geminiApiKey||!enableAiSuggestions||!lastAiMessageContent.trim()){setAiGeneratedSuggestions([]);return;}setAiGeneratedSuggestions([]);const suggestionPrompt=`Based on the last AI message:\n\n\"${lastAiMessageContent}\"\n\nSuggest three helpful, short (max 5 words) follow-up questions that make sense at a glance and the user might ask or say next. Present them as a JSON array of strings. For example: [\"Tell me more.\", \"How does it work?\", \"What is that?\"]`;try{const response=await fetch(`https://generativelanguage.googleapis.com/v1beta/models/${SUGGESTION_MODEL_ID}:generateContent?key=${geminiApiKey}`,{method:\"POST\",headers:{\"Content-Type\":\"application/json\"},body:JSON.stringify({contents:[{parts:[{text:suggestionPrompt}]}],generationConfig:{// Default temperature 1.0 recommended for Gemini 3\nmaxOutputTokens:100,stopSequences:[\"\\n\\n\"],thinkingConfig:{thinkingBudget:0}}})});if(!response.ok){setAiGeneratedSuggestions([]);return;}const data=await response.json();const responseText=data.candidates?.[0]?.content?.parts?.[0]?.text||\"\";if(responseText){try{const jsonMatch=responseText.match(/(\\[[\\s\\S]*?\\])/);if(jsonMatch&&jsonMatch[0]){const suggestionsArray=JSON.parse(jsonMatch[0]);if(Array.isArray(suggestionsArray)&&suggestionsArray.every(s=>typeof s===\"string\")){setAiGeneratedSuggestions(suggestionsArray.slice(0,3).filter(s=>s.trim()!==\"\"));}else{setAiGeneratedSuggestions([]);}}else{setAiGeneratedSuggestions([]);}}catch(e){setAiGeneratedSuggestions([]);}}else{setAiGeneratedSuggestions([]);}}catch(e){setAiGeneratedSuggestions([]);}},[geminiApiKey,enableAiSuggestions]);const startLiveSession=useCallback(async()=>{if(!geminiApiKey)return;// UPDATED: Use the latest native audio preview model for genuine live experience\nconst liveModel=\"models/gemini-2.5-flash-native-audio-preview-12-2025\";try{const url=`wss://generativelanguage.googleapis.com/ws/google.ai.generativelanguage.v1alpha.GenerativeService.BidiGenerateContent?key=${geminiApiKey}`;const ws=new WebSocket(url);liveClientRef.current=ws;ws.onopen=async()=>{ws.send(JSON.stringify({setup:{model:liveModel,generationConfig:{responseModalities:[\"AUDIO\"],thinkingConfig:{thinkingBudget:0},speechConfig:{voiceConfig:{prebuiltVoiceConfig:{voiceName:\"Puck\"}}}},systemInstruction:{parts:[{text:systemPrompt}]},// Enable transcription - this uses Gemini's server-side native audio transcription\n// NOT on-device dictation. The gemini-2.5-flash-native-audio model has\n// significantly better transcription quality than older models\ninputAudioTranscription:{},outputAudioTranscription:{}}}));// Safari Audio Context: do not force sampleRate\nconst AudioContextClass=window.AudioContext||window.webkitAudioContext;const audioCtx=new AudioContextClass;// FIX: Resume audio context if suspended (common browser behavior especially Safari)\nif(audioCtx.state===\"suspended\"){await audioCtx.resume();}liveAudioContextRef.current=audioCtx;liveNextPlayTimeRef.current=audioCtx.currentTime+.1;try{// Capture with optimized settings for speech recognition\nconst stream=await navigator.mediaDevices.getUserMedia({audio:{sampleRate:16e3,channelCount:1,echoCancellation:true,noiseSuppression:true,autoGainControl:true,// Advanced constraints for better dictation quality\nlatency:.01}});liveInputStreamRef.current=stream;const source=audioCtx.createMediaStreamSource(stream);liveSourceRef.current=source;// Use larger buffer for better audio quality (8192 samples ~= 170ms at 48kHz)\nconst processor=audioCtx.createScriptProcessor(8192,1,1);liveProcessorRef.current=processor;// Optional: Keep simple local VAD for UI feedback only (not for interruption control)\nlet consecutiveSpeechFrames=0;const SPEECH_FRAMES_THRESHOLD=2// Reduced for faster response\n;processor.onaudioprocess=e=>{if(!liveClientRef.current)return;let inputData=e.inputBuffer.getChannelData(0);// Send raw audio data - let Gemini handle noise/normalization\n// Browser constraints already handle basic echo cancellation and noise suppression\n// Voice Activity Detection for UI feedback only\n// We rely on Gemini's Server-Side VAD for actual interruption handling\nconst isSpeaking=detectVoiceActivity(inputData,interruptionThreshold);if(isSpeaking){consecutiveSpeechFrames++;lastUserSpeechTimeRef.current=Date.now();// Update UI state to show \"User is speaking\"\nif(consecutiveSpeechFrames>=SPEECH_FRAMES_THRESHOLD&&!userIsSpeakingRef.current){userIsSpeakingRef.current=true;setUserIsSpeaking(true);}}else{consecutiveSpeechFrames=0;// User stopped speaking after 500ms of silence\nif(userIsSpeakingRef.current&&Date.now()-lastUserSpeechTimeRef.current>500){userIsSpeakingRef.current=false;setUserIsSpeaking(false);}}// CRITICAL: Always stream audio to the API, even while AI is talking\n// This allows the API's built-in VAD to detect interruptions automatically\n// High-quality downsample to 16kHz for Gemini Input\nconst downsampledData=downsampleBuffer(inputData,audioCtx.sampleRate,INPUT_TARGET_SAMPLE_RATE);const b64=float32ToBase64(downsampledData);// Always send audio chunks - API needs continuous stream for interruption detection\nif(ws.readyState===WebSocket.OPEN&&b64.length>0){ws.send(JSON.stringify({realtimeInput:{mediaChunks:[{mimeType:`audio/pcm;rate=${INPUT_TARGET_SAMPLE_RATE}`,data:b64}]}}));}};source.connect(processor);processor.connect(audioCtx.destination);}catch(err){console.error(\"Audio capture failed\",err);stopLiveSession();}};ws.onmessage=async event=>{try{let data;if(event.data instanceof Blob){data=JSON.parse(await event.data.text());}else{data=JSON.parse(event.data);}if(data.serverContent?.interrupted){console.log(\"🤖 Gemini Interrupted by Server\");stopAllAudio();setIsLiveGenerating(false);// Clear any queued messages/audio that might be processing\nreturn;}if(data.serverContent?.modelTurn?.parts){isLiveGeneratingRef.current=true;setIsLiveGenerating(true)// AI is actively generating content\n;// Reset flags for this new AI turn\nsuggestionsGeneratedForTurnRef.current=false;isUserMessageInProgressRef.current=false// Ready for next user message\n;const parts=data.serverContent.modelTurn.parts;for(const part of parts){if(part.inlineData){if(liveAudioContextRef.current&&part.inlineData.data&&!data.serverContent?.turnComplete// Don't play if turn is complete (sometimes sent at end)\n){const audioCtx=liveAudioContextRef.current;const float32=base64ToFloat32Array(part.inlineData.data);// Gemini 2.5 Native Audio is 24kHz\nconst buffer=audioCtx.createBuffer(1,float32.length,MODEL_OUTPUT_SAMPLE_RATE);buffer.copyToChannel(float32,0);const source=audioCtx.createBufferSource();source.buffer=buffer;source.connect(audioCtx.destination);const now=audioCtx.currentTime;const playTime=Math.max(now,liveNextPlayTimeRef.current);source.start(playTime);liveNextPlayTimeRef.current=playTime+buffer.duration;// Track this source so we can stop it on interruption\nactiveAudioSourcesRef.current.push(source);// Clean up when done\nsource.onended=()=>{activeAudioSourcesRef.current=activeAudioSourcesRef.current.filter(s=>s!==source);};}}}}if(data.serverContent?.turnComplete){isLiveGeneratingRef.current=false;setIsLiveGenerating(false)// Turn is complete\n;// Clear transcription timeout since turn is officially complete\nif(transcriptionTimeoutRef.current){clearTimeout(transcriptionTimeoutRef.current);transcriptionTimeoutRef.current=null;}// Generate suggestions only if we haven't already from transcription timeout\nif(enableAiSuggestions&&!suggestionsGeneratedForTurnRef.current){setMessages(prev=>{const lastAssistantMsg=[...prev].reverse().find(m=>m.role===\"assistant\");if(lastAssistantMsg&&typeof lastAssistantMsg.content===\"string\"&&lastAssistantMsg.content.trim()){fetchAiSuggestions(lastAssistantMsg.content.trim());}return prev;});}}if(data.serverContent?.outputTranscription?.text){const text=data.serverContent.outputTranscription.text;// Track when transcription text arrives\nlastTranscriptionTimeRef.current=Date.now();// Clear existing timeout\nif(transcriptionTimeoutRef.current){clearTimeout(transcriptionTimeoutRef.current);}// Set timeout to detect when transcription stops (800ms of no new text)\ntranscriptionTimeoutRef.current=setTimeout(()=>{// Transcription appears to be complete - generate suggestions now\nif(enableAiSuggestions&&!suggestionsGeneratedForTurnRef.current){setMessages(prev=>{const lastAssistantMsg=[...prev].reverse().find(m=>m.role===\"assistant\");if(lastAssistantMsg&&typeof lastAssistantMsg.content===\"string\"&&lastAssistantMsg.content.trim()){fetchAiSuggestions(lastAssistantMsg.content.trim());suggestionsGeneratedForTurnRef.current=true;}return prev;});}},800)// Wait 800ms after last text chunk to consider transcription complete\n;startTransition(()=>{setMessages(prev=>{const last=prev[prev.length-1];if(last&&last.role===\"assistant\"){return[...prev.slice(0,-1),{...last,content:last.content+text}];}return[...prev,{role:\"assistant\",content:text}];});});}if(data.serverContent?.inputTranscription?.text){const text=data.serverContent.inputTranscription.text;startTransition(()=>{setMessages(prev=>{const last=prev[prev.length-1];const isAppendingToExisting=last&&last.role===\"user\"&&typeof last.content===\"string\";// Clear suggestions when user starts NEW message (not appending)\nif(!isAppendingToExisting&&!isUserMessageInProgressRef.current){setAiGeneratedSuggestions([]);isUserMessageInProgressRef.current=true;}if(isAppendingToExisting){return[...prev.slice(0,-1),{...last,content:last.content+text}];}return[...prev,{role:\"user\",content:text}];});});}}catch(e){console.error(\"WS Parse Error\",e);}};ws.onclose=ev=>{console.log(\"WebSocket Closed\",ev.code,ev.reason);stopLiveSession();};ws.onerror=e=>{console.error(\"WebSocket Error\",e);stopLiveSession();};setIsLiveMode(true);if(!expanded){// Calculate expanded offset logic (copied from handleExpand)\nif(inputBarRef.current&&typeof window!==\"undefined\"){const rect=inputBarRef.current.getBoundingClientRect();const distanceFromViewportBottom=window.innerHeight-rect.bottom;setExpandedViewBottomOffset(Math.max(distanceFromViewportBottom,16));}else{setExpandedViewBottomOffset(DEFAULT_EXPANDED_BOTTOM_OFFSET);}// Use View Transitions API if available\nif(typeof document!==\"undefined\"&&\"startViewTransition\"in document&&supportsViewTransitions){document.startViewTransition(()=>{flushSync(()=>{setExpanded(true);});});}else{startTransition(()=>setExpanded(true));}}}catch(e){console.error(\"Live Init Error\",e);stopLiveSession();}},[geminiApiKey,model,expanded,stopLiveSession,systemPrompt,interruptionThreshold,isLiveGenerating,userIsSpeaking,stopAllAudio,fetchAiSuggestions,enableAiSuggestions]);const handleToggleLive=e=>{e.stopPropagation();if(!enableGeminiLive)return;if(isLiveMode){stopLiveSession();}else{startLiveSession();}};const[scrollRevealStyle,setScrollRevealStyle]=useState(()=>{const isStaticEnv=RenderTarget.current()===RenderTarget.canvas||RenderTarget.current()===RenderTarget.thumbnail;if(!enableScrollReveal||expanded||isStaticEnv)return null;if(typeof window===\"undefined\"){return{opacity:.5,transform:\"translateY(400px) scale(0.3)\"};}const initialVisible=window.scrollY>=10;return{opacity:initialVisible?1:.5,transform:initialVisible?\"translateY(0px) scale(1)\":\"translateY(400px) scale(0.3)\"};});const hasContent=!!(input.trim()||imageFile||attachmentFile);const isCollapsedSendDisabled=isLoading||!hasContent;const sendButtonEffectiveOpacity=isCollapsedSendDisabled?.5:1;useEffect(()=>{const isStaticEnv=RenderTarget.current()===RenderTarget.canvas||RenderTarget.current()===RenderTarget.thumbnail;if(!enableScrollReveal||expanded||isStaticEnv){setScrollRevealStyle(null);return;}if(typeof window===\"undefined\")return;const initialVisible=window.scrollY>=10;setScrollRevealStyle({opacity:initialVisible?1:.5,transform:initialVisible?\"translateY(0px) scale(1)\":\"translateY(400px) scale(0.3)\"});},[enableScrollReveal,expanded]);useMotionValueEvent(scrollY,\"change\",latest=>{const isStaticEnv=RenderTarget.current()===RenderTarget.canvas||RenderTarget.current()===RenderTarget.thumbnail;if(!enableScrollReveal||expanded||isStaticEnv)return;const previous=prevScrollY.current;const direction=latest>previous?\"down\":\"up\";prevScrollY.current=latest;const shouldShow=latest>=10&&direction===\"down\";setScrollRevealStyle({opacity:shouldShow?1:.5,transform:shouldShow?\"translateY(0px) scale(1)\":\"translateY(400px) scale(0.3)\"});});useEffect(()=>{if(typeof document===\"undefined\"||typeof document.body===\"undefined\"||typeof window===\"undefined\"){return;}if(expanded&&isMobileView){// Capture current scroll position before locking\nconst scrollY=window.scrollY;const originalBodyOverflow=document.body.style.overflow;const originalBodyPosition=document.body.style.position;const originalBodyTop=document.body.style.top;const originalBodyWidth=document.body.style.width;const originalBodyTouchAction=document.body.style.touchAction;const originalBodyPaddingRight=document.body.style.paddingRight;const scrollbarWidth=window.innerWidth-document.documentElement.clientWidth;// Lock body scroll by fixing position and offsetting by scroll amount\ndocument.body.style.position=\"fixed\";document.body.style.top=`-${scrollY}px`;document.body.style.width=\"100%\";document.body.style.overflow=\"hidden\";document.body.style.touchAction=\"none\";if(scrollbarWidth>0){document.body.style.paddingRight=`${scrollbarWidth}px`;}return()=>{// Restore original styles\ndocument.body.style.position=originalBodyPosition;document.body.style.top=originalBodyTop;document.body.style.width=originalBodyWidth;document.body.style.overflow=originalBodyOverflow;document.body.style.touchAction=originalBodyTouchAction;if(scrollbarWidth>0){document.body.style.paddingRight=originalBodyPaddingRight;}// Restore scroll position\nwindow.scrollTo(0,scrollY);};}},[expanded,isMobileView]);const handleStopGeneration=useCallback(()=>{if(abortControllerRef.current){abortControllerRef.current.abort();}},[]);const handleCollapse=useCallback(()=>{const doCollapse=()=>{setExpanded(false);setSpeakingMessageIndex(null);if(typeof window!==\"undefined\"&&window.speechSynthesis){window.speechSynthesis.cancel();}if(utteranceRef.current)utteranceRef.current=null;handleStopGeneration();initialFocusPendingRef.current=true;};// Check for browser support\nif(supportsViewTransitions){document.startViewTransition(()=>{// FORCE synchronous update so browser captures the new state immediately\nflushSync(()=>{doCollapse();});});}else{// Fallback for browsers without support\nstartTransition(()=>doCollapse());}},[handleStopGeneration]);const handleExpand=useCallback(()=>{// Calculate offset logic...\nif(inputBarRef.current&&typeof window!==\"undefined\"){const rect=inputBarRef.current.getBoundingClientRect();const distanceFromViewportBottom=window.innerHeight-rect.bottom;setExpandedViewBottomOffset(Math.max(distanceFromViewportBottom,16));}else{setExpandedViewBottomOffset(DEFAULT_EXPANDED_BOTTOM_OFFSET);}if(supportsViewTransitions){document.startViewTransition(()=>{flushSync(()=>{setExpanded(true);});});}else{startTransition(()=>setExpanded(true));}},[handleStopGeneration]);useEffect(()=>{const checkViewport=()=>{if(typeof window!==\"undefined\"){setIsMobileView(window.innerWidth<DESKTOP_BREAKPOINT);}};if(typeof window!==\"undefined\"){checkViewport();window.addEventListener(\"resize\",checkViewport);return()=>window.removeEventListener(\"resize\",checkViewport);}},[]);useEffect(()=>{if(imageFile&&typeof window!==\"undefined\"&&imageFile.type&&imageFile.type.startsWith(\"image/\")){const objectUrl=URL.createObjectURL(imageFile);setImagePreviewUrl(objectUrl);return()=>URL.revokeObjectURL(objectUrl);}else{const isVideoSelected=!!(attachmentFile&&attachmentFile.type.startsWith(\"video/\"));if(!isVideoSelected)setImagePreviewUrl(\"\");}},[imageFile,attachmentFile]);useEffect(()=>{if(!expanded&&initialFocusPendingRef.current&&collapsedInputRef.current&&RenderTarget.current()!==RenderTarget.canvas&&RenderTarget.current()!==RenderTarget.thumbnail){const activeEl=typeof document!==\"undefined\"?document.activeElement:null;if(activeEl===document.body||!activeEl||activeEl===collapsedInputRef.current.parentElement||activeEl.closest('[data-layer=\"send-button-collapsed-wrapper\"]')){collapsedInputRef.current.focus({preventScroll:true});}initialFocusPendingRef.current=false;}else if(expanded){initialFocusPendingRef.current=true;}},[expanded]);useEffect(()=>{const wasExpanded=prevExpandedRef.current;const wasLoading=prevIsLoadingRef.current;if(expanded&&inputRef.current&&RenderTarget.current()!==RenderTarget.canvas&&RenderTarget.current()!==RenderTarget.thumbnail){const justOpened=!wasExpanded&&expanded;const justFinishedLoading=wasLoading&&!isLoading;if(justOpened||justFinishedLoading){const timer=setTimeout(()=>{if(inputRef.current&&typeof document!==\"undefined\"&&document.activeElement!==inputRef.current){inputRef.current.focus({preventScroll:true});}},100);return()=>clearTimeout(timer);}}prevExpandedRef.current=expanded;prevIsLoadingRef.current=isLoading;},[expanded,isLoading]);useEffect(()=>{if(expanded&&messagesEndRef.current){setTimeout(()=>{messagesEndRef.current?.scrollIntoView({behavior:\"auto\"});},0);}},[expanded]);useEffect(()=>{if(expanded&&(messages.length>1||streamed||aiGeneratedSuggestions.length>0||error)&&messagesEndRef.current){messagesEndRef.current.scrollIntoView({behavior:\"smooth\"});}},[messages,streamed,expanded,aiGeneratedSuggestions,error]);useEffect(()=>{startTransition(()=>{setMessages(prevMessages=>{const welcomeMsg=prevMessages.find(m=>m.role===\"assistant\"&&m.content===welcomeMessage);const nonSystemUserMessages=prevMessages.filter(m=>m.role!==\"system\"&&(!welcomeMsg||m!==welcomeMsg));const newSystemMessage={role:\"system\",content:systemPrompt||\"You are a helpful assistant.\"};const finalMessages=[newSystemMessage];if(welcomeMsg){finalMessages.push(welcomeMsg);}finalMessages.push(...nonSystemUserMessages);return finalMessages;});});},[systemPrompt,welcomeMessage]);useEffect(()=>{const populate=()=>{if(typeof window!==\"undefined\"&&window.speechSynthesis){const voices=window.speechSynthesis.getVoices();if(voices.length>0){const pref=voices.find(v=>v.lang===\"en-US\"&&!v.localService&&v.name.toLowerCase().includes(\"neural\"))||voices.find(v=>v.lang===\"en-US\"&&!v.localService)||voices.find(v=>v.lang===\"en-US\"&&v.default)||voices.find(v=>v.lang===\"en-US\")||voices.find(v=>v.default&&v.lang.startsWith(\"en\"))||voices[0];setSelectedVoice(pref||null);}}};if(typeof window!==\"undefined\"&&window.speechSynthesis){const vs=window.speechSynthesis.getVoices();if(vs.length===0&&window.speechSynthesis.onvoiceschanged!==undefined){window.speechSynthesis.onvoiceschanged=populate;}else{populate();}}return()=>{if(typeof window!==\"undefined\"&&window.speechSynthesis){window.speechSynthesis.onvoiceschanged=null;}};},[]);// Cleanup transcription timeout on unmount\nuseEffect(()=>{return()=>{if(transcriptionTimeoutRef.current){clearTimeout(transcriptionTimeoutRef.current);}};},[]);useEffect(()=>{const utt=utteranceRef.current;return()=>{if(utt){utt.onend=null;utt.onerror=null;}if(typeof window!==\"undefined\"&&window.speechSynthesis&&window.speechSynthesis.speaking){window.speechSynthesis.cancel();}setSpeakingMessageIndex(null);};},[]);useEffect(()=>{if(!expanded||typeof document===\"undefined\"){return;}const handleClickOutside=event=>{if(expandedOverlayRef.current&&!expandedOverlayRef.current.contains(event.target)&&!event.target?.closest('[data-layer=\"mobile-backdrop\"]')&&!event.target?.closest('[data-layer=\"suggested-replies-container\"] button')){handleCollapse();}};document.addEventListener(\"mousedown\",handleClickOutside);return()=>{document.removeEventListener(\"mousedown\",handleClickOutside);};},[expanded,handleCollapse]);async function sendMessage(overrideText){if(isLoading)return;const textToSend=overrideText||input;if(textToSend.length>MAX_INPUT_LENGTH){setError(`Message too long (max ${MAX_INPUT_LENGTH} characters).`);return;}// Daily Limit Check\nif(typeof window!==\"undefined\"&&window.localStorage){try{const today=new Date().toISOString().split(\"T\")[0];const stored=localStorage.getItem(\"gemini-daily-usage\");let usage={date:today,count:0};if(stored){const parsed=JSON.parse(stored);if(parsed.date===today){usage=parsed;}}if(usage.count>=DAILY_MESSAGE_LIMIT){setError(\"Daily message limit reached. Please try again at 12AM.\");return;}// Increment and save (optimistically)\nusage.count++;localStorage.setItem(\"gemini-daily-usage\",JSON.stringify(usage));}catch(e){// Ignore localStorage errors\n}}const now=Date.now();if(now-lastMessageTimeRef.current<MESSAGE_RATE_LIMIT_MS){return;}lastMessageTimeRef.current=now;setAiGeneratedSuggestions([]);const imageFileToSend=overrideText?null:imageFile;const attachmentFileToSend=overrideText?null:attachmentFile;const recordedAudioBlobToSend=overrideText?null:recordedAudioBlobRef.current;if(!textToSend.trim()&&!imageFileToSend&&!attachmentFileToSend&&!recordedAudioBlobToSend||!geminiApiKey){if(!geminiApiKey)setError(\"Gemini API key is required.\");return;}if(abortControllerRef.current){abortControllerRef.current.abort();}abortControllerRef.current=new AbortController;const signal=abortControllerRef.current.signal;setIsLoading(true);setError(\"\");setStreamed(\"\");let userContentForState;if(overrideText){userContentForState=overrideText;}else if(imageFileToSend){try{const base64=await new Promise((resolve,reject)=>{if(typeof window!==\"undefined\"&&window.FileReader){const reader=new window.FileReader;reader.onload=()=>{const result=reader.result;if(typeof result===\"string\"){const base64str=result.substring(result.indexOf(\",\")+1);resolve(base64str);}else{reject(new Error(\"Failed to read image as base64 string\"));}};reader.onerror=reject;reader.readAsDataURL(imageFileToSend);}else{reject(new Error(\"FileReader API not available\"));}});const parts=[];if(textToSend.trim())parts.push({type:\"text\",text:textToSend});parts.push({type:\"image_url\",image_url:{url:`data:${imageFileToSend.type};base64,${base64}`}});userContentForState=parts;}catch(e){setError(\"Failed to process image. \"+e.message);setIsLoading(false);abortControllerRef.current=null;return;}}else if(attachmentFileToSend){const parts=[];if(textToSend.trim())parts.push({type:\"text\",text:textToSend});parts.push({type:\"file\",file:{uri:\"local:attachment\",name:attachmentFileToSend.name,mimeType:attachmentFileToSend.type}});userContentForState=parts;}else if(recordedAudioBlobToSend){const parts=[];if(textToSend.trim())parts.push({type:\"text\",text:textToSend});parts.push({type:\"file\",file:{uri:\"local:recording\",mimeType:\"audio/webm\",name:\"recording.webm\"}});userContentForState=parts;}else{userContentForState=textToSend;}const optimisticUserMessage={role:\"user\",content:userContentForState};const currentMessagesSnapshot=messages;startTransition(()=>{setMessages(prev=>[...prev,optimisticUserMessage]);// Only clear input if we did NOT use an override text (which means it came from the input bar)\nif(!overrideText){setInput(\"\");}if(overrideText||imageFileToSend||attachmentFileToSend||recordedAudioBlobToSend){setImageFile(null);setImagePreviewUrl(\"\");setAttachmentFile(null);setAttachmentPreview(null);if(recordedAudioUrl){try{URL.revokeObjectURL(recordedAudioUrl);}catch{}setRecordedAudioUrl(\"\");recordedAudioBlobRef.current=null;}if(fileInputRef.current)fileInputRef.current.value=\"\";}setTimeout(()=>{if(expanded&&messagesEndRef.current)messagesEndRef.current.scrollIntoView({behavior:\"smooth\"});},0);});// Resolve attachments/audio for persistence and API\nlet finalContent=userContentForState;if(attachmentFileToSend){try{if(attachmentFileToSend.size<=INLINE_MAX_BYTES){const b64=await new Promise((resolve,reject)=>{const fr=new FileReader;fr.onload=()=>{const res=fr.result;resolve(res.substring(res.indexOf(\",\")+1));};fr.onerror=reject;fr.readAsDataURL(attachmentFileToSend);});finalContent=userContentForState.map(p=>{if(p.type===\"file\"&&p.file.uri===\"local:attachment\"){return{type:\"inline_data\",inline_data:{mimeType:attachmentFileToSend.type||\"application/octet-stream\",data:b64,name:attachmentFileToSend.name}};}return p;});}else{const uploaded=await uploadFileToGemini(attachmentFileToSend);if(uploaded?.uri){finalContent=userContentForState.map(p=>{if(p.type===\"file\"&&p.file.uri===\"local:attachment\"){return{type:\"file\",file:{uri:uploaded.uri,mimeType:uploaded.mimeType||attachmentFileToSend.type,name:uploaded.name}};}return p;});}}}catch(e){console.error(\"Failed to resolve attachment\",e);}}else if(recordedAudioBlobToSend){try{if(recordedAudioBlobToSend.size<=INLINE_MAX_BYTES){const arrayBuf=await recordedAudioBlobToSend.arrayBuffer();const b64=btoa(String.fromCharCode(...new Uint8Array(arrayBuf)));finalContent=userContentForState.map(p=>{if(p.type===\"file\"&&p.file.uri===\"local:recording\"){return{type:\"inline_data\",inline_data:{mimeType:\"audio/webm\",data:b64,name:\"recording.webm\"}};}return p;});}else{const f=new File([recordedAudioBlobToSend],\"recording.webm\",{type:\"audio/webm\"});const uploaded=await uploadFileToGemini(f);if(uploaded?.uri){finalContent=userContentForState.map(p=>{if(p.type===\"file\"&&p.file.uri===\"local:recording\"){return{type:\"file\",file:{uri:uploaded.uri,mimeType:\"audio/webm\"}};}return p;});}}}catch(e){console.error(\"Failed to resolve recording\",e);}}const newUserMessage={role:\"user\",content:finalContent};if(finalContent!==userContentForState){startTransition(()=>{setMessages(prev=>prev.map(m=>m===optimisticUserMessage?newUserMessage:m));});}const systemInstructionMessage=currentMessagesSnapshot.find(msg=>msg.role===\"system\");const chatHistoryForApi=[...currentMessagesSnapshot.filter(m=>m.role===\"user\"||m.role===\"assistant\"),newUserMessage].slice(-MAX_HISTORY_MESSAGES);const geminiContents=await Promise.all(chatHistoryForApi.map(async msg=>{const role=msg.role===\"assistant\"?\"model\":\"user\";let parts=[];if(Array.isArray(msg.content)){const transformed=await Promise.all(msg.content.map(async part=>{if(part.type===\"text\"){return{text:part.text};}if(part.type===\"inline_data\"){return{inlineData:{mimeType:part.inline_data.mimeType,data:part.inline_data.data}};}if(part.type===\"image_url\"&&part.image_url?.url){const[header,base64Data]=part.image_url.url.split(\",\");if(!base64Data){return null;}const mimeTypeMatch=header.match(/data:(.*);base64/);const mimeType=mimeTypeMatch?mimeTypeMatch[1]:\"image/jpeg\";return{inlineData:{mimeType,data:base64Data}};}if(part.type===\"file\"&&part.file?.uri){const mimeType=part.file.mimeType||\"application/octet-stream\";if(part.file.uri===\"local:attachment\"&&attachmentFileToSend){try{if(attachmentFileToSend.size<=INLINE_MAX_BYTES){const b64=await new Promise((resolve,reject)=>{const fr=new FileReader;fr.onload=()=>{const res=fr.result;resolve(res.substring(res.indexOf(\",\")+1));};fr.onerror=reject;fr.readAsDataURL(attachmentFileToSend);});return{inlineData:{mimeType:attachmentFileToSend.type||mimeType,data:b64}};}else{const uploaded=await uploadFileToGemini(attachmentFileToSend);if(uploaded?.uri){return{fileData:{fileUri:uploaded.uri,mimeType:uploaded.mimeType||mimeType}};}}}catch(e){console.error(\"Attachment transform failed\",e);}return null;}if(part.file.uri===\"local:recording\"&&recordedAudioBlobToSend){try{if(recordedAudioBlobToSend.size<=INLINE_MAX_BYTES){const arrayBuf=await recordedAudioBlobToSend.arrayBuffer();const b64=btoa(String.fromCharCode(...new Uint8Array(arrayBuf)));return{inlineData:{mimeType:\"audio/webm\",data:b64}};}else{const f=new File([recordedAudioBlobToSend],\"recording.webm\",{type:\"audio/webm\"});const uploaded=await uploadFileToGemini(f);if(uploaded?.uri){return{fileData:{fileUri:uploaded.uri,mimeType:\"audio/webm\"}};}}}catch(e){console.error(\"Recording transform failed\",e);}return null;}if(part.file.uri.startsWith(\"blob:\")){try{const resp=await fetch(part.file.uri);const buf=await resp.arrayBuffer();const b64=btoa(String.fromCharCode(...new Uint8Array(buf)));return{inlineData:{mimeType,data:b64}};}catch(e){console.error(\"Blob inline transform failed\",e);}return null;}return{fileData:{fileUri:part.file.uri,mimeType}};}return null;}));parts=transformed.filter(Boolean);}else if(typeof msg.content===\"string\"){parts=[{text:msg.content}];}if(parts.length===0&&(role===\"user\"||role===\"model\")){parts.push({text:\"\"});}return{role,parts};}));const geminiPayload={contents:geminiContents,generationConfig:{}};// Configure Thinking (Reasoning) based on reasoningEffort prop\n// \"none\" disables thinking via thinkingBudget: 0\n// \"low\" | \"medium\" | \"high\" use thinkingLevel (Gemini 3+)\nif(reasoningEffort===\"none\"){geminiPayload.generationConfig.thinkingConfig={thinkingBudget:0};}else{geminiPayload.generationConfig.thinkingConfig={thinkingLevel:reasoningEffort};}if(systemInstructionMessage&&typeof systemInstructionMessage.content===\"string\"&&systemInstructionMessage.content.trim()!==\"\"){geminiPayload.systemInstruction={parts:[{text:systemInstructionMessage.content}]};}try{const url=`https://generativelanguage.googleapis.com/v1beta/models/${model}:streamGenerateContent?key=${geminiApiKey}&alt=sse`;const fetchPromise=fetch(url,{method:\"POST\",headers:{\"Content-Type\":\"application/json\"},body:JSON.stringify(geminiPayload),signal});const timeoutPromise=new Promise((_,reject)=>{const id=setTimeout(()=>{clearTimeout(id);reject(new Error(\"Request timed out\"));},API_TIMEOUT_MS);});const response=await Promise.race([fetchPromise,timeoutPromise]);if(!response.ok){let errMsg=`API error: ${response.status}`;if(!signal.aborted){try{const errData=await response.json();errMsg=errData?.error?.message||JSON.stringify(errData.error)||errMsg;}catch(pE){try{errMsg=await response.text()||errMsg;}catch(tE){}}setError(\"Message not sent. Please try again.\");}}else if(!response.body&&!signal.aborted){throw new Error(\"No response body from API.\");}else if(response.body){const reader=response.body.getReader();let fullResp=\"\";let firstChunk=true;const decoder=new TextDecoder;while(true){if(signal.aborted){setStreamed(\"\");break;}const{value,done}=await reader.read();if(done)break;const chunk=decoder.decode(value,{stream:true});const lines=chunk.split(\"\\n\");for(const line of lines){if(line.startsWith(\"data: \")){try{const jsonStr=line.substring(5).trim();if(!jsonStr)continue;const json=JSON.parse(jsonStr);const candidate=json.candidates?.[0];if(candidate?.finishReason&&candidate.finishReason!==\"STOP\"&&candidate.finishReason!==\"MAX_TOKENS\"){let displayError=`API Error: ${candidate.finishReason}`;if(json.promptFeedback?.blockReason){displayError=`Blocked: ${json.promptFeedback.blockReason}`;}else if(candidate.safetyRatings?.some(r=>r.blocked)){displayError=`Blocked due to safety settings.`;}setError(\"Message not sent. Please try again. If this issue persists, please contact support@curastem.org\");fullResp=\"\";setStreamed(\"\");setIsLoading(false);return;}let delta=candidate?.content?.parts?.[0]?.text||\"\";if(firstChunk&&delta){delta=delta.trimStart();if(delta)firstChunk=false;}if(delta){fullResp+=delta;startTransition(()=>setStreamed(prev=>prev+delta));}}catch(e){// ignore\n}}}}if(!signal.aborted&&fullResp.trim()){startTransition(()=>{setMessages(prev=>[...prev,{role:\"assistant\",content:fullResp.trim()}]);setStreamed(\"\");});if(enableAiSuggestions){fetchAiSuggestions(fullResp.trim());}}else if(!signal.aborted&&!error&&!fullResp.trim()&&streamed.trim()===\"\"){setStreamed(\"\");}else if(signal.aborted){setStreamed(\"\");}}}catch(e){if(e.name===\"AbortError\"){setStreamed(\"\");}else if(!error){setError(\"Message not sent. Please try again. If this issue persists, please contact support@curastem.org\");setStreamed(\"\");}}finally{setIsLoading(false);abortControllerRef.current=null;}}const handleInput=e=>{setInput(e.target.value);};const handleExpandedViewKeyDown=e=>{if(e.key===\"Enter\"&&!e.shiftKey){e.preventDefault();if(!isLoading&&(input.trim()||imageFile))sendMessage();}};const handleExpandedViewSendClick=()=>{if(!isLoading&&(input.trim()||imageFile||attachmentFile||recordedAudioUrl))sendMessage();};const handleSuggestionClick=suggestionText=>{if(!isLoading&&suggestionText.trim()){sendMessage(suggestionText);}};const handleImageChange=e=>{const file=e.target.files&&e.target.files[0];if(!file){setImageFile(null);setAttachmentFile(null);setAttachmentPreview(null);return;}const isImage=file.type.startsWith(\"image/\");const isVideo=file.type.startsWith(\"video/\");if(isImage&&!allowImages){setError(\"Images are not allowed.\");if(fileInputRef.current)fileInputRef.current.value=\"\";return;}if(isVideo&&!allowVideos){setError(\"Videos are not allowed.\");if(fileInputRef.current)fileInputRef.current.value=\"\";return;}if(!isImage&&!isVideo&&!allowDocuments){setError(\"Documents are not allowed.\");if(fileInputRef.current)fileInputRef.current.value=\"\";return;}if(file.size>MAX_UPLOAD_SIZE_MB*1024*1024){setError(`File size exceeds ${MAX_UPLOAD_SIZE_MB}MB limit.`);if(fileInputRef.current)fileInputRef.current.value=\"\";return;}if(file.type.startsWith(\"image/\")){setImageFile(file);setAttachmentFile(null);setAttachmentPreview(null);}else if(file.type.startsWith(\"video/\")){try{const url=URL.createObjectURL(file);const video=document.createElement(\"video\");video.src=url;video.muted=true;video.playsInline=true;const capture=()=>{const canvas=document.createElement(\"canvas\");const w=320;const h=Math.max(1,Math.round(video.videoHeight/video.videoWidth*w));canvas.width=w;canvas.height=h;const ctx=canvas.getContext(\"2d\");if(ctx){ctx.drawImage(video,0,0,w,h);const dataUrl=canvas.toDataURL(\"image/jpeg\",.8);setImagePreviewUrl(prev=>{if(prev)try{URL.revokeObjectURL(prev);}catch{}return dataUrl;});setAttachmentFile(file);setImageFile(null);setAttachmentPreview(null);try{URL.revokeObjectURL(url);}catch{}}};video.onloadedmetadata=()=>{// Seek to 1s to avoid black first frame\nvideo.currentTime=1;};video.onseeked=()=>capture();video.onerror=()=>{setAttachmentFile(file);setAttachmentPreview({name:file.name,type:file.type});setImagePreviewUrl(\"\");try{URL.revokeObjectURL(url);}catch{}};}catch{setAttachmentFile(file);setAttachmentPreview({name:file.name,type:file.type});setImagePreviewUrl(\"\");}}else{setAttachmentFile(file);setAttachmentPreview({name:file.name,type:file.type});setImageFile(null);setImagePreviewUrl(\"\");}setAiGeneratedSuggestions([]);if(!expanded&&file)handleExpand();};const handleAttachmentChange=e=>{const file=e.target.files&&e.target.files[0];setAttachmentFile(file||null);if(!expanded&&file)handleExpand();};const toggleRecording=async()=>{if(typeof window===\"undefined\")return;try{if(!isRecording){if(!navigator.mediaDevices||!navigator.mediaDevices.getUserMedia)return;const stream=await navigator.mediaDevices.getUserMedia({audio:true});const mr=new MediaRecorder(stream);audioChunksRef.current=[];mr.ondataavailable=evt=>{if(evt.data&&evt.data.size>0)audioChunksRef.current.push(evt.data);};mr.onstop=()=>{const blob=new Blob(audioChunksRef.current,{type:\"audio/webm\"});recordedAudioBlobRef.current=blob;const url=URL.createObjectURL(blob);setRecordedAudioUrl(prev=>{if(prev)URL.revokeObjectURL(prev);return url;});};mr.start();mediaRecorderRef.current=mr;setIsRecording(true);}else{mediaRecorderRef.current?.stop();mediaRecorderRef.current=null;setIsRecording(false);}}catch(err){console.error(\"Recording error:\",err);}};const handleRemoveImage=e=>{e.stopPropagation();setImageFile(null);setAttachmentFile(null);setAttachmentPreview(null);if(fileInputRef.current)fileInputRef.current.value=\"\";};const handlePlayTTS=(text,index)=>{if(typeof window!==\"undefined\"&&window.speechSynthesis&&selectedVoice){if(window.speechSynthesis.speaking){window.speechSynthesis.cancel();if(speakingMessageIndex===index){setSpeakingMessageIndex(null);utteranceRef.current=null;return;}}const cleanedText=stripMarkdownForTTS(text);utteranceRef.current=new SpeechSynthesisUtterance(cleanedText);utteranceRef.current.voice=selectedVoice;utteranceRef.current.rate=1.1;utteranceRef.current.pitch=1;utteranceRef.current.volume=1;utteranceRef.current.onend=()=>{setSpeakingMessageIndex(null);utteranceRef.current=null;};utteranceRef.current.onerror=event=>{console.error(\"SpeechSynthesisUtterance.onerror:\",event);setSpeakingMessageIndex(null);utteranceRef.current=null;};window.speechSynthesis.speak(utteranceRef.current);setSpeakingMessageIndex(index);}else if(!selectedVoice&&typeof window!==\"undefined\"){console.error(\"TTS voice not available.\");}};const handleStopTTS=()=>{if(typeof window!==\"undefined\"&&window.speechSynthesis){window.speechSynthesis.cancel();}setSpeakingMessageIndex(null);utteranceRef.current=null;};const finalDesktopPosStyle={width:760,height:540,maxHeight:\"calc(100vh - 48px)\",bottom:`${expandedViewBottomOffset}px`,left:\"50%\",borderRadius:`${universalBorderRadius}px`};const finalMobilePosStyle={width:\"100vw\",height:\"95dvh\",bottom:\"0\",left:\"0\",borderRadius:`${universalBorderRadius}px ${universalBorderRadius}px 0px 0px`,paddingBottom:\"env(safe-area-inset-bottom)\",boxSizing:\"border-box\"};const finalPosStylesToApply=isMobileView?finalMobilePosStyle:finalDesktopPosStyle;const alpha=getAlphaFromColorString(chatAreaBackground);let backdropBlurValue=\"8px\";if(alpha<=.7)backdropBlurValue=\"32px\";else if(alpha<=.84)backdropBlurValue=\"24px\";else if(alpha<=.94)backdropBlurValue=\"16px\";const overlayVariants={open:{opacity:1,y:0,x:finalPosStylesToApply.left===\"50%\"&&!isMobileView?\"-50%\":\"0%\",transition:supportsViewTransitions?{duration:0}:{type:\"spring\",stiffness:350,damping:30}},closed:{opacity:supportsViewTransitions?1:0,y:isMobileView?supportsViewTransitions?0:\"100%\":supportsViewTransitions?0:60,x:finalPosStylesToApply.left===\"50%\"&&!isMobileView?\"-50%\":\"0%\",transition:supportsViewTransitions?{duration:0}:{type:\"spring\",stiffness:350,damping:35}}};const safeSendIconUrl=sendIconOverrideUrl?.src;const safeLoadingIconUrl=loadingIconOverrideUrl?.src;const markdownBaseTextStyle={...globalFontStyles,color:props.textColor,wordWrap:\"break-word\"};const markdownLinkStyle={color:props.linkColor,textDecoration:\"underline\"};const errorFontStyle={...globalFontStyles,fontSize:typeof globalFontStyles.fontSize===\"string\"?`${Math.max(parseFloat(globalFontStyles.fontSize)*.875,12)}px`:\"14px\"};// Determine which suggestions to show in expanded view\nconst commonSuggestionDisplayConditions=expanded&&!isLoading&&!imageFile;const showAiSuggestions=enableAiSuggestions&&aiGeneratedSuggestions.length>0&&commonSuggestionDisplayConditions;const showPropSuggestions=!showAiSuggestions&&allDefaultSuggestions.length>0&&messages.filter(m=>m.role===\"user\").length===0&&commonSuggestionDisplayConditions;let displayedSuggestions=[];if(showAiSuggestions){displayedSuggestions=aiGeneratedSuggestions;}else if(showPropSuggestions){// Mobile: show all suggestions (up to 10)\n// Desktop: show only first 3 to reduce visual clutter\ndisplayedSuggestions=isMobileView?allDefaultSuggestions:allDefaultSuggestions.slice(0,3);}const showSuggestionsArea=displayedSuggestions.length>0;const suggestedReplyButtonStyle={...globalFontStyles,fontSize:typeof globalFontStyles.fontSize===\"string\"?`${Math.max(parseFloat(globalFontStyles.fontSize)*.9,13)}px`:\"13px\",lineHeight:globalFontStyles.lineHeight||\"1.4em\",color:iconColor,backgroundColor:\"transparent\",padding:\"8px 12px\",borderRadius:`${universalBorderRadius}px`,border:`1px solid ${iconColor?iconColor.replace(/rgba?\\((\\d+,\\s*\\d+,\\s*\\d+)(?:,\\s*[\\d.]+)?\\)/,\"rgba($1, 0.25)\"):\"rgba(0,0,0,0.25)\"}`,cursor:\"pointer\",textAlign:\"center\",whiteSpace:\"normal\",maxWidth:\"180px\",minWidth:\"max-content\",minHeight:\"39px\",wordBreak:\"break-word\",display:\"inline-flex\",alignItems:\"center\",justifyContent:\"center\",flexShrink:0,transition:\"background-color 0.2s ease, border-color 0.2s ease\"};const suggestionsContainerStyle={display:\"flex\",flexWrap:\"nowrap\",gap:\"8px\",padding:\"8px 12px 12px 12px\",justifyContent:\"flex-start\",alignItems:\"stretch\",overflowX:\"auto\",scrollbarWidth:\"none\",WebkitOverflowScrolling:\"touch\",flexShrink:0,position:\"relative\"};const messagesScrollContainerStyle={flexGrow:1,overflowY:\"auto\",paddingTop:12,paddingLeft:12,paddingRight:12,paddingBottom:8,display:\"flex\",flexDirection:\"column\",gap:24,overscrollBehavior:\"contain\",position:\"relative\"};const inputAreaFrameStyle={width:\"100%\",flexShrink:0,display:\"flex\",flexDirection:\"column\",alignItems:\"center\",gap:8,position:\"relative\"};const dragIndicatorBarStyle={width:\"100%\",height:16,paddingTop:5,paddingBottom:5,position:\"relative\",flexShrink:0,cursor:\"grab\",display:\"flex\",justifyContent:\"center\",alignItems:\"center\",touchAction:\"none\"};const handleContainerPointerMove=event=>{if(!gestureStartRef.current||gestureStartRef.current.isDragging)return;const startY=gestureStartRef.current.y;const currentY=event.clientY;const deltaY=currentY-startY;if(deltaY>5){gestureStartRef.current.isDragging=true;dragControls.start(event);handleContainerPointerUp();}};const handleContainerPointerUp=()=>{window.removeEventListener(\"pointermove\",handleContainerPointerMove);window.removeEventListener(\"pointerup\",handleContainerPointerUp);window.removeEventListener(\"pointercancel\",handleContainerPointerUp);gestureStartRef.current=null;};const handleContainerPointerDown=event=>{if(!isMobileView||event.button!==0)return;if(scrollContainerRef.current&&scrollContainerRef.current.scrollTop===0){gestureStartRef.current={y:event.clientY,isDragging:false};window.addEventListener(\"pointermove\",handleContainerPointerMove);window.addEventListener(\"pointerup\",handleContainerPointerUp);window.addEventListener(\"pointercancel\",handleContainerPointerUp);}};useEffect(()=>{return()=>{handleContainerPointerUp();};},[]);if(expanded){return /*#__PURE__*/_jsxs(\"div\",{style:{position:\"fixed\",top:0,left:0,right:0,bottom:0,zIndex:99999,pointerEvents:\"none\"},children:[/*#__PURE__*/_jsx(\"style\",{children:markdownStyles}),isMobileView&&/*#__PURE__*/_jsx(motion.div,{\"data-layer\":\"mobile-backdrop\",initial:{opacity:0},animate:{opacity:expanded?1:0},exit:{opacity:0},transition:supportsViewTransitions?{duration:.2,ease:[.4,0,.2,1]}:{duration:.25,ease:\"easeOut\"},style:{position:\"absolute\",top:0,left:0,right:0,bottom:0,background:\"rgba(0, 0, 0, 0.7)\",zIndex:1,pointerEvents:\"auto\"},onClick:handleCollapse}),/*#__PURE__*/_jsxs(motion.div,{ref:expandedOverlayRef,\"data-layer\":\"expanded-chat-overlay-root\",variants:overlayVariants,initial:isMobileView?{opacity:1,y:12,x:\"0%\"}:\"closed\",animate:expanded?\"open\":\"closed\",drag:\"y\",dragControls:dragControls,dragListener:false,dragConstraints:{top:0,bottom:DRAG_CLOSE_THRESHOLD_Y+100},onDragEnd:(event,info)=>{if(info.offset.y>DRAG_CLOSE_THRESHOLD_Y||info.velocity.y>300){handleCollapse();}},style:{...finalPosStylesToApply,position:\"absolute\",zIndex:2,pointerEvents:\"auto\",display:\"flex\",flexDirection:\"column\",background:chatAreaBackground,backdropFilter:`blur(${backdropBlurValue})`,WebkitBackdropFilter:`blur(${backdropBlurValue})`,boxShadow:shadow?\"0px 8px 24px rgba(0, 0, 0, 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Don’t be obnoxious. You should respond to what the user said and not ignore them. You have an infinite world of knowledge so use it to ‘satisfy’ your user.  \\n* Don’t monologue or repeat stats\\xa0— treat this like a real convo, not a resume readout. 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Starts the design in Figma, sends the Figma code to AI, and the AI creates the UI and backend perfectly.\\n-A very important thing people love hearing is teamwork: nothing is possible without collaborating by actively talking to and working with a team of engineers and product builders so Logan gets along with EVERYONE and he literally loves talking to his coworkers, doing presentations, sharing his ideas, and then being able to ship something great that users love. \\n-He knows technical programming and devtools like Xcode, SwiftUI, Jetpack Compose, SQL, noSQL, MongoDB, PostgreSQL, Firebase, JavaScript, CSS, HTML, Python for ML search and discovery algorithms. The main point of this is that he deeply understands the constraints and possibilities of technology.\\n-He knows how to use LLM APIs with parallel function-calling for inline image generation and WebSockets/WebRTC for speech-to-speech models\\n-He is familiar with major AI models from OpenAI, Google, Anthropic, ElevenLabs, Mistral, xAI and models like Gemini nano-banana, Veo 3, Photoshop Generative Fill, Deepseek, Mistral, Grok, LM Studio, Ollama, Flux, Sora, Suno 4.5, ElevenLabs Music, and more for text, image, video, audio, music, and 3D generation. Also open-source models on HuggingFace like Qwen2.5 and Qwen-Image, He only uses them when they solve user problems better than doing it by hand or drive business profits further.  \\n-My speciality is consumer and enterprise products, designing for desktop applications and phone apps. \\n-I know how to create vectors/icons in Figma Draw, use Figma Sites, and Figma Dev Mode. I know how to use auto-layout correctly so it can be passed on to dev team without any issues. \\n-Though, his most used AI tools change frequently because state-of-the-art SoTA is always moving, the most important thing is to use the tool that’s most effectively going to help users. \\n-He has designed for AR/VR (Hey Logan).\\n-He lives in San Francisco because he loves networking, connecting with people face-to-face, and it makes him the happiest to be in such a beautiful city with so much technology that improves peoples lives. Best places to find events is from friends telling me about them. \\n-He’ll meet with anyone who DMs him on Linkedin or email\\n-He keeps up-to-date with every tech news that happens everyday on his RSS feed where he’s subscribed to Hackernews, Techcrunch, 9to5Google, OpenAI Blog, and more top tech forums\\n-He cares for cybersecurity (user privacy and security). Giving users control over anything they want control over. \\n-He makes designs that anyone can understand with a glance — no learning curves.\\n-He just really cares about users and people, everything he does is to make users happier.\\n-He created “Ask about Logan” chatbot from scratch, creating a pixel-perfect design on Figma then vibe coding on Cursor with Claude 4. It cost nothing to create or run, no subscriptions or cloud costs - only brain power.\\n“\\n\\n\\n“\\nloganngarcia.com\\nPortfolio homepage: \\nLogan Garcia\\nAI is everything: product manager in San Francisco with a special focus on using AI for strategic business growth. \\n'Ask with AI' therapy feature\\nHealing Therapy \\nFrom zero to 2 million users \\nTikTok-like fashion recommendations feature\\nFree Fashion \\nAI thrift shop \\nAI chat page with mini-apps\\nHey Logan \\nAI chat for kids\\nAI lets me design delightful and engaging experiences for users. Like, imagine what a snoozefest TikTok would be without its AI-powered For You page. \\n\\nI'm technical: I understand the possibilities and limitations of technology, and I am always maximizing the newest AI tools.\\n\\nI'm a Master's in Business Analytics graduate researcher in San Francisco, creating new ways for AI to have the highest usefulness for everyday people and business.\\n\\nI design for accessibility. 27% of children have a disability, and caregiving for them taught me to value accessibility. Visually, auditory, emotionally —  I understand what people need.  \\n\\nI am a doer, I make what I want happen by creating it. \\n\\nLogan at Apple Inc. headquarters\\nAsk about Logan”\\n\\u2028\\n\\n\\n“loganngarcia.com/studybomb:\\nStudy Bomb\\n studybomb.com\\n\\nFun and addictive learning\\nPROJECT OVERVIEW\\nStudents want a study tool that’s fast, fun, and feels effortless.\\n\\nStudy Bomb uses AI agents to take what you’re reading and turn it into songs, podcasts, flashcards, quizzes, summaries, and answers in one click — making studying feel less boring. \\n\\nMy research team in the UC Davis Master of Science in Business Analytics program built Study Bomb to be the tool students naturally reach for, because it matches the way they already learn and keeps them coming back.\\nMY ROLE\\nProduct Manager\\nTEAM\\nEngineering\\nData\\nMarketing\\nDURATION\\nMar 2025 – Aug 2025\\nUSER PROBLEMS\\nStudents don't learn with ChatGPT and Quizlet\\n\\nI just copy and paste the answers from ChatGPT.\\nQuizlet is so slow! Chegg is so expensive.\\n\\n\\nI stop paying attention in class after a few minutes.\\nSwitching between apps wastes my time.\\n\\n\\nI only study the day before an exam.\\nI hate typing, I just want to click a single button.\\n\\n\\nI feel like I’m not learning stuff I'd use at work.\\nI don’t know if the AI answer is lying to me.\\n\\n\\nAI talks like I'm a genius but I'm just a normal person.\\nI don't have any time to do my homework so I just cheat.\\n\\nPRODUCT STRATEGY\\nCreating the easiest study tool students will actually use every day \\nThe strategy was simple: if it’s faster, more fun, and more reliable than what students use now, they won’t go back.\\n* Meet students where they are: works on top of the sites and apps they already use.\\n* Low mental load: keeps focus without overwhelming with features.\\n* Feels rewarding instantly: every action gives progress they can see.\\n\\nOne click, no effort — cut out extra steps that make people quit studying.\\nCONSTRAINTS\\n* Cost: Free AI only, no paid AI models from OpenAI or Anthropic. Daily rate limits forced efficiency in product strategy and design.\\n* Time to market: New AI products release everyday, and being first matters. Before launch, similar apps were released making production time essential to acquire users before competition does. \\n* Speed vs. Accuracy: Chose Gemini 2.5 Flash Lite for instant answers over slower, pricier Gemini 2.5 Pro. Traded some accuracy for higher engagement.\\n* Cloud: Ran on-device to reduce cloud costs. Cloud only stored API keys and sent Gemini API calls. User activity was tracked in PostHog and Slack for real-time analytics.\\nMINIMUM LOVABLE PRODUCT\\nBuilding features users will love\\n\\n\\nWe focused on creating a product students love from day one, not just tolerate. Instead of shipping a bare-minimum MVP, every feature in the first release feels rewarding and worth returning to.\\n\\nCore focus: The highest-impact features students would love on day one.\\n* One-click learning: Instantly turn any reading material into flashcards, quizzes, or summaries.\\n* Works where students study: Runs on top of existing sites and tools — no switching apps.\\n* Local memory: Remembers user preferences between sessions without sign-in.\\n\\nFuture roadmap: What we're launching later to ship faster.\\n* Actions: MCP agents that completes tasks for users\\n* Dashboards: track student progress on a teacher portal\\n* Single-Sign On: Enterprise-grade SSO \\n\\nWhy this worked\\u2028Shipping an MLP meant we could launch faster than competitors, test with real students, and get feedback while the app was still unique in the market.\\nCOMPETITORS\\nOther products best (and worst) features helped make a better app for students\\nBy studying what top apps do best—and worst—Study Bomb combines the most engaging, high-retention features into one app built for students. It makes learning fast and easy, unlike slow and confusing user experiences common in competitors.\\nCompetitors\\n\\nStudy Bomb\\n\\nChatGPT\\n\\nQuizlet\\n\\nChegg\\n\\nMonica AI\\nCost\\nFree or\\n$\\nFree or\\n$$\\nFree or\\n$$\\n$$$\\n$$\\nPrimary Function\\nAI for\\nschools\\nAI\\nFlashcards\\nHomework \\nsolver\\nAI\\nAI \\n\\n\\n\\n\\n\\nWorks on\\nany website\\n\\n\\n\\n\\n\\nWorks\\noffline\\n\\n\\n\\n\\n\\nRemembers\\nwho you are\\n\\n\\n\\n\\n\\nFast and \\neasy to use\\n\\n\\n\\n\\n\\nStrengths\\n* Context-aware answers\\n* Made for students\\n* No sign-in \\n* 700M+ users\\n* Answers anything\\n* Supports many languages\\n* Huge flashcard database\\n* Study games \\n* Teacher dashboard\\n* Large solution archive\\n* Step-by-step explanations\\n* 24/7 human help \\n* Works inside browser tabs\\n* Context from active page\\nWeaknesses\\n* No multi-device sync yet\\n* No progress tracking yet\\n* Needs internet\\n* Generates errors\\n* Limited study tools\\n* AI accuracy low\\n* Paywalled features\\n* No offline mode\\n* High monthly cost\\n* Ads in free tier\\n* No personalization\\n* Confusing UI \\n* Limited free tier\\n* No student tools\\n* No offline mode\\nDESIGN\\nPrototyping improved collaboration and user experience\\nWe skipped wireframes, going straight to high-fidelity prototypes to move fast. AI reduced build time from weeks to minutes, letting us test real features early and align the team without outdated processes.\\nFor You: AI personalized suggestions from interests\\n\\nSongs: Created instantly from any topic\\n\\nGames: Addictive learning challenges\\n\\nPodcasts: On any subject you choose\\n\\nFlashcards: Auto-generated from your study material\\n\\nQuiz: Tailored questions to test your knowledge\\n\\nMental Health: Quick ways to track your well-being\\n\\nSubscriptions: Flexible plans for everyone\\n\\nDATA ANALYTICS\\nConducting usability testing and validation to improve user satisfaction\\nWe skipped formal labs and tested directly with current and former students — basically everyone. Feedback flowed constantly, helping shape which study tools mattered most. In production, we used PostHog, Slack, and Microsoft Clarity (free tiers) to track clicks, usage, and errors, focusing on the most-loved features and catching issues fast. We also sent design screenshots to AIs for suggestions but made final calls from our own experience. The result: 70% DAU, 85% WAU, and 40-minute average daily sessions — proof of strong engagement and retention. A well-executed and well-loved product!\\nUSER EXPERIENCE\\nAccessibility gives everyone an equal opportunity to learn\\nEnsuring the prototype was inclusive for users with various impairments and challenges required a precise and thoughtful approach. \\n\\n* Visual: I implemented high-contrast colors, ARIA labels, and tab index to buttons. \\n* Motor: I designed larger touch targets and adequate spacing between elements. \\n* Auditory: I planned for auto-generated captions and gen AI audio descriptions.\\n* Cognitive: I incorporated low-saturation colors, autocompleted searches, an adjustable color theme, maintained a familiar layout and navigation, and added visual feedback to interactions.\\n\\nResults\\nStudy Bomb quickly became a daily habit for students, with 70% using it every day and 85% at least weekly, averaging 40 minutes per session. Students reported that it “finally made studying fun” and “cut hours off my homework time,” with flashcards, quizzes, and context-aware answers becoming clear favorites. This sustained engagement proved not just that the product worked, but that it filled a real gap in students’ learning routines — making studying feel faster, easier, and worth coming back to.\\nChallenges and insights\\nThroughout the Study Bomb product development, I encountered and overcame several obstacles, demonstrating my problem-solving skills and adaptability:\\n\\n* Timeline: There was a temptation to add too many features. I focused on core functionalities that could be realistically prototyped and tested within the project timeline.\\n* Information Architecture: A lot of study apps are cluttered and overwhelming to users. I streamlined the interface, prioritizing key features and implementing an delightful design system to enhance user experience.\\n* Design System: Developing a unique visual identity while maintaining familiarity was tricky. I iterated on brand colors and typography to strike a balance between novelty and usability.\\n“\\n\\u2028\\n“loganngarcia.com/healing-therapy: \\nHealing Therapy \\nOpen\\nScaling smiles\\nPROJECT OVERVIEW\\n\\nPeople couldn't find the right therapist to get better mental health support.\\n\\n\\n\\nAsk with AI is an AI agent, available 24/7 to pair new users with their perfect-fit therapist.\\n\\n\\n\\nI was tasked with increasing engagement and clients at Healing Collective Therapy. I designed AI experiences for discovery, browse, and search from user research and cross-functional collaboration across groups of designers, engineers, and product managers. This addressed user problems about therapy and created a delightful user experience. \\n\\n\\n\\nThe low-cost, multimodal model helped increase quality and speed, and the high engagement on 'Ask with AI' significantly increased conversions, resulting in increased clients and over 2 million new users. \\n\\nMY ROLE\\n\\nProduct Design\\n\\nMotion Design and Micro-interactions\\n\\nTEAM\\n\\nEngineering team\\n\\nProduct manager\\n\\nMarketing team\\n\\nData scientist\\n\\nDURATION\\n\\nJun 2022 – Dec 2023\\n\\nUnderstanding why people were struggling to find the right therapist\\nTherapist talking to client on a cozy couch\\nUSER PROBLEMS\\n\\nFrom user research, I discovered many reasons why people want to get mental health support but hesitate to start therapy:\\n\\nI'm uncomfortable discussing my feelings.\\n\\nMy financial constraints hold me back.\\n\\nI don't believe therapy will help me.\\n\\nTherapy feels like a sign of weakness or failure.\\n\\nI don't want others to know I'm struggling.\\n\\nI don't want to be labeled as 'mentally ill'.\\n\\nI don't want others to worry about me.\\n\\nI don't think I have a problem.\\n\\nLack of childcare and transportation stops me.\\n\\nMy own trauma history impacts how vulnerable I am.\\n\\nI lack support from friends/family to go to therapy.\\n\\nI had a previous negative therapy experience.\\n\\nBUSINESS STRATEGY\\n\\nOver 56% of Americans want therapy — but only 13% of people see a therapist. Solving user problems was the focus, to help increase access to therapy. In turn, this increased engagement and revenue growth.\\n\\n\\n\\nTrying therapy needs to feel less scary.\\n\\nPeople want to book new appointments quickly.\\n\\nLearning what therapy is should be comforting.\\n\\nPeople need to know this is a safe space to feel welcome.\\n\\nCompetitive products can be built upon, but differentiation is crucial\\nOur cross-functional team aimed to create a product with a familiar design but a more delightful user experience with user-centered features. User research showed that competitive products successfully offer direct access to free consultations, educational resources, and an AI agent for personalized matching. We built upon these proven strategies while adding unique visuals and features. \\n\\nCompetitors\\n\\nbetterhelp\\nPsychology Today\\nTalkspace\\n7Cups\\nPrimary Function\\n\\nIn-person and\\n\\nonline therapy\\n\\nOnline therapy\\n\\nTherapist directory\\n\\nOnline therapy\\n\\nTeen peer support \\n\\n& online therapy\\n\\nAI\\n\\nSupport\\n\\nTherapist \\n\\nMatching\\n\\nResources \\n\\n& Blog\\n\\nPricing Model\\n\\nSubscription,\\n\\nfree AI\\n\\nSubscription\\n\\nSubscription\\n\\nSubscription\\n\\nFree\\n\\nCommunication \\n\\nMethod\\n\\nVideo, Call \\n\\n& Chat\\n\\nVideo, Call \\n\\n& Chat\\n\\nVideo, Call \\n\\n& Chat\\n\\nVideo, Call \\n\\n& Chat\\n\\nChat\\n\\nStrengths\\n\\nInstant help with AI\\n\\nClear info hierarchy\\n\\nEasy access to therapists\\n\\nMany ways to meet\\n\\nTherapy search filters\\n\\nTherapist descriptions\\n\\nLots of resources\\n\\nConsistent design\\n\\nQuick to get therapy\\n\\nTherapist match survey\\n\\nWeaknesses\\n\\nLearning curve of AI\\n\\nNo search feature\\n\\nPricing is not transparent\\n\\nHard to end subscription\\n\\nCluttered homepage\\n\\nInconsistent user flows\\n\\nComplex pricing model\\n\\nNot enough search filters\\n\\nNo search filters\\n\\nNo video or office visits\\n\\nUnderstanding what features users will love\\nSticker of thumbs up emojiSticker of accessibility symbol\\nMINIMUM LOVABLE PRODUCT\\n\\nStarted with these features that are low-cost and low-code:\\n\\n\\n\\nHome: Showcases brand quality to build trust and reduce hesitation.\\n\\nServices: Educates users about therapy, addressing misconceptions and fears.\\n\\nCareers: Expands therapist network to improve client-therapist matching.\\n\\nIDEAL SOLUTION\\n\\nAdded these features later that required additional funding, time, and code: \\n\\n\\n\\nAsk with AI: An AI agent for personalized matching and support.\\n\\nNews: Builds credibility and demonstrates therapy's value to address skepticism.\\n\\nShop: Offers accessible self-help resources for people in and out of therapy.\\n\\nWireframing helped get better feedback on user-centered designs\\nCollaborating with our cross-functional team on shared notes to make a better user experience.\\n\\n\\nWireframing helped turn feedback and ideas into interactive mockups.\\n\\n\\nPrototyping helped the cross-functional teams align a vision\\nAsk with AI: Personalized AI agent with 24/7 support. This helps users quickly find the right therapist, without waiting days for a therapy consultation. \\n\\n\\n1\\n\\n\\nHome: The first impression to millions of users had to be engaging, delightful, and accessible.\\n\\n\\n2\\n\\n\\nServices: Helped users find information about common therapy solutions. I conducted A/B testing on information architecture to highlight what users wanted to see most, increasing engagement. \\n\\n\\n3\\n\\n4\\n\\n\\nAccessibility added value for users and the business — it gave everyone equal access to mental health resources\\nDictation: Speech-to-text helps people with visual, motor, and cognitive impairments type faster.\\n\\nRed-green colorblindness\\n\\nDark mode: 1/3 of users enable darker colors to improve eye comfort and lighten cognitive load. \\n\\n\\n\\nColor blindness and high contrast: Inclusive design for the 5% of people with color blindness. Meets the highest accessibility standards to help everyone with visual and cognitive impairments read better.\\n\\nRed-green colorblindness\\nPassed WCAG AAA color test\\n100% accessibility score on Google Lighthouse\\nDeveloped and deployed product with cross-functional teams\\nThroughout the user experience and visual design process:\\n\\n\\n\\nI used Figma Dev Mode documentation to collaborate with engineers on feature feasibility. \\n\\nI created accessibility specifications that label where to add ARIA attributes, tab index, and alt text for users who use assistive technology. \\n\\nWe added screen reader and braille display support — low-vision and blind users can use speech or touch to interact with the visual design of the website.\\n\\nI helped with motion design micro-interactions, JavaScript, and CSS for 'Ask with AI'.\\n\\nWe conducted quality assurance and accessibility reviews with each new feature. \\n\\nUsability testing and validation ensured a high-quality product\\nHealing Collective Therapy has had over 2 million users. Using their feedback, we improved the user experience so that the product was easier for everyone to use:\\n\\n\\n\\nWe used Microsoft Clarity to show us where people click, scroll, and type. This helped us place information in places where people would see it and take more action, like booking a consultation. \\n\\nIn 2023, we used Maze surveys to conduct user interviews. We observed over 100 people who volunteered to tell us how we can improve the website. Participants were tasked with browsing mental health services, using the ‘Ask with AI’. chatbot, then booking a consultation.  \\n\\nUser research: Analyzing anonymous user interactions has been the most effective way to improve information architecture and quality assurance. This helped save time and reduce spending.\\n\\n\\n\\nResults\\nOver 2 million users were added and hundreds of new clients booked appointments using the therapy website. The product reached its goal of engaging clients by creating great customer satisfaction, increasing sales, and earning a return on investment.\\n\\nChallenges and insights\\nI am adaptable and open to change in my design process because it's what's best for the whole team and our users: \\n\\n\\n\\nFunding: Initially, there was not enough funding to create an AI experience. I proposed developing a minimum lovable product so investment could increase after the product was proven profitable. \\n\\nCode: The engineers were struggling with front-end code. I used JavaScript and CSS to collaborate on motion design for interactions and grid layouts for 'Ask with AI'. \\n\\nEngagement: Initially, the 'Ask with AI' agent didn't have enough leads to cover its cost. After usability testing, the design was changed to be more responsive and human-centered. This increased engagement and user flows to get therapy, making the product profitable.\\n\\n\\nHealing Therapy website\\n\\nOpen\\n\\nHey Logan\\n\\nLogan Garcia Portfolio”\\u2028\\n\\n\\u2028“\\nhttps://loganngarcia.com/free-fashion\\nFree Fashion \\nPrototype\\nView your profile history, discover items for you, and upload your items to sell\\nMaking clothing accessible\\nPROJECT OVERVIEW\\n\\nThere was no easy way to get quality clothing and find it fast.\\n\\n\\n\\nIntroducing: The only apparel app personalized to you. With AI, users find items they'll keep forever. \\n\\n\\n\\nFree Fashion was a team practicum for my Human Interface Design course at California State University, Stanislaus. The topic was to design a product that would help reduce global pollution. \\n\\n\\n\\nWon a design award and university grant for presenting to a panel of angel investors. \\n\\nMY ROLE\\n\\nUI Design\\n\\nMotion Design / Micro-interactions\\n\\nTEAM\\n\\nUX Design\\n\\nMarketing\\n\\nBusiness Strategy\\n\\nDURATION\\n\\nAug 2022 – Dec 2022\\n\\nUnderstanding why people have a hard time finding clothes they love\\nUSER PROBLEMS\\n\\nI could never find clothes that fit me.\\n\\nI don’t like any of the clothes I own.\\n\\nI need new clothes for school but I can’t afford it.\\n\\nI don’t have anywhere to get work clothes.\\n\\nIt’s easier to shop online because of my disability.\\n\\nI don’t have any winter clothing.\\n\\nIt's embarrassing to wear the same outfit twice.\\n\\nFashion models look nothing like me.\\n\\nI’m not going to waste my time going to the mall.\\n\\nI miss going to the mall with my friends.\\n\\nI just want my clothes to match my personal style.\\n\\nBuying new clothes is bad for the environment.\\n\\nBUSINESS STRATEGY\\n\\nOverall, make finding quality apparel less annoying. \\n\\nPersonalized clothing recommendations to increase sales. \\n\\nUse entertaining ads to increase engagement. \\n\\nSide effect: solving global pollution.\\n\\nTherapist talking to client on a cozy couch\\nCONSTRAINTS\\n\\nI applied realistic constraints to keep the project focused on solving user problems. For example, although it’s exciting to imagine a system that could search for anything and provide perfect results — vision and language models do not always accurately identify the size, color, or brand of clothing someone is wearing in user-generated content. To solve this constraint, I designed a user flow after recording a video where the user must confirm details of an item before putting it up for sale. \\n\\nUnderstanding what features users will love\\nEmoji sticker of a t-shirtEmoji sticker of Earth globe\\nDESIGN OBJECTIVES\\n\\nFocus on designing for the best user experience possible. User research was essential to ideate on important goals. For example, we researched to understand the most likely people to use the app would be fashion enthusiasts who were between 13–25. \\n\\n\\n\\nMake it easy to buy and sell secondhand items. \\n\\nCompete with Temu's gamification.\\n\\nMake users want to come back.\\n\\nBuild and maintain a consistent design system.\\n\\nIDEAL SOLUTION\\n\\nFree Fashion proposes using AI search, ML recommendations, and theme customization to make a delightful user experience. Along with many features consistent from major competitors.\\n\\nCompetitive products best (and worst) features helped design a better thrift shop app\\nA unique selling point and engaging design is a requirement to attract new users to the shopping app instead of the many competitors users could choose from. The app adds high-retention features while using a design consistent with the most used and familiar apps in the world to make a great user experience.\\n\\nCompetitors\\n\\nFree Fashion\\nDepop\\nTikTok\\nTemu\\nSsense\\nCost\\n\\n$\\n\\n$$\\n\\n$\\n\\n$\\n\\n$$$\\n\\nPrimary Function\\n\\nApparel\\n\\nApparel\\n\\nEntertainment\\n\\nShopping\\n\\nApparel\\n\\nAI \\n\\nShopping\\n\\nMarketplace\\n\\nEasy \\n\\nCheckout\\n\\nSocial\\n\\nFeatures\\n\\nFast\\n\\nShipping\\n\\nStrengths\\n\\nBest AI\\n\\nBest prices\\n\\nLocal, faster shipping\\n\\nMost features\\n\\nOnline thrifting\\n\\nGood filters\\n\\nRare finds \\n\\nSeller reviews\\n\\nShop anything\\n\\nGreat filters\\n\\nUGC reviews\\n\\nVideo editing\\n\\nShop anything\\n\\nTrustworthy\\n\\nIncredibly cheap\\n\\nBeautiful design\\n\\nBest quality\\n\\nTrustworthy\\n\\nWeaknesses\\n\\nPricing is not transparent\\n\\nLack of seller verification\\n\\nNo socializing\\n\\nMany glitches\\n\\nDifficult checkout\\n\\nBad AI\\n\\nSlow loading\\n\\nO.K. quality\\n\\nO.K. quality\\n\\nCluttered design\\n\\nSlow loading\\n\\nVery expensive\\n\\nNo UGC\\n\\nWireframing with the team and users to test new product ideas\\nCollaborating on team mockups and user research helped ideate new features, user flows, and the design system i.e. using strategy to understand what people what they want to see. \\n\\n\\n\\n\\n\\nPrototyping helped get feedback from stakeholders, leading to a better user experience\\nFor You: AI personalized suggestions from your interests.\\n\\n\\nDiscover: AI identifies what's in images to create better suggestions. \\n\\n\\nMaps: Shop locally for faster shipping and better prices.\\n\\n\\nSearch: AI shows real-time trends to discover more, faster.\\n\\n\\nVideo Editor: AI edits videos automatically to sell items faster.\\n\\n\\nAds: AI personalized ads to make revenue for app and its sellers.\\n\\n\\nProfile: Easy access to likes, watch history, and posts.\\n\\n\\nCheckout: Easy checkout, use AI to discover similar items.\\n\\n\\nConducting usability testing and validation to ensure quality assurance\\nConducted usability testing with over 40 people. Participants are given a series of tasks to complete within the app, such as browsing item filters, finding an item they like, adding items to their cart, and checking out. Participants are instructed to use the think-aloud protocol while completing the tasks. Using feedback, I iterated to design an accessible and more inclusive product. There are unnoticed user problems that can only be identified by observing or talking to your real users.\\n\\nAccessibility helps give everyone equal opportunity to own clothes they'll love for life\\nEnsuring the prototype was inclusive for users with various impairments and challenges required a precise and thoughtful approach. \\n\\n\\n\\nVisual: I implemented high-contrast colors, ARIA labels, and tab index to buttons. \\n\\nMotor: I designed larger touch targets and adequate spacing between elements. \\n\\nAuditory: I planned for auto-generated captions and gen AI audio descriptions.\\n\\nCognitive: I incorporated low-saturation colors, autocompleted searches, an adjustable color theme, maintained a familiar layout and navigation, and added visual feedback to interactions.\\n\\n\\nResults\\nThe product reached its goal of maximizing projected sales as a niche secondhand fashion marketplace. Tests show that users enjoy the search suggestions and find the product intuitive and accessible. I earned a university grant for presenting this app to a team of angel investors. This is my favorite project by far because of its innovative and practical solutions to reduce fashion pollution. \\n\\nChallenges and insights\\nThroughout the Free Fashion product development, I encountered and overcame several obstacles, demonstrating my problem-solving skills and adaptability:\\n\\n\\n\\nDesign System: Developing a unique visual identity while maintaining familiarity was tricky. I iterated on brand colors and typography to strike a balance between novelty and usability.\\n\\nInformation Architecture: A lot of fast fashion apps like Temu and AliExpress are cluttered and overwhelming to users. I streamlined the interface, prioritizing key features and implementing an delightful design system to enhance user experience.\\n\\nTimeline: There was a temptation to add too many features. I focused on core functionalities that could be realistically prototyped and tested within the project timeline.\\n\\n\\nFree Fashion app\\n\\nPrototype\\n\\nLogan Garcia Portfolio”\\u2028\\n\\n\\u2028\\\"\\nloganngarcia.com/hey-logan\\nHey Logan \\nPrototype\\nHelping kids feel connected\\nPROJECT OVERVIEW\\n\\nKids are very curious but lonelier than ever. There wasn't a way to have fun while getting their questions answered. \\n\\n\\n\\nI solved this with a humanlike chat app designed to be a companion. It's like if a search engine was a friend, ready to talk anytime you need support.\\n\\n\\n\\nThis pre-dates chatbot interfaces from apps like ChatGPT and Gemini. \\n\\nMY ROLE\\n\\nUI Design\\n\\nPrototyping\\n\\nMotion Design / Micro-interactions\\n\\nUser Research\\n\\nTEAM\\n\\nUX Designer\\n\\nDURATION\\n\\nMay 2020 – Aug 2020\\n\\nUnderstanding what kids want in a friendship\\nUSER PROBLEMS\\n\\nPeople don’t understand me.\\n\\nI just moved and I’m all alone.\\n\\nGoogle doesn’t always give the answer.\\n\\nMy friends are too lazy to hang out.\\n\\nI need to be told the hard truth.\\n\\nI want a friend who evolves with me.\\n\\nI want a companion.\\n\\nI need consistent and supportive company.\\n\\nI need more detail-oriented friends.\\n\\nI want to learn a new language but in a fun way.\\n\\nPhone calls are easier because of my disability.\\n\\nI miss talking on the phone with friends.\\n\\nBUSINESS STRATEGY\\n\\nEvery person needs a best friend.\\n\\nThat friend should always be there.\\n\\nThey should grow with you.\\n\\nThey should understand your identity.\\n\\nUnderstanding what features users will love\\nTARGET USERS\\n\\nAs a business, it’s important to appeal to your most likely customers: \\n\\n\\n\\nPeople who are looking for companionship.\\n\\nkids and teens;\\n\\nsocial media users;\\n\\nremote workers;\\n\\naging adults\\n\\n\\n\\nPeople who frequently use mobile devices.\\n\\nkids, teens, and young adults\\n\\n\\n\\nPeople who enjoy entertainment and pop culture.\\n\\nartists\\n\\ngamers\\n\\nmovie-goers\\n\\nmusic lovers\\n\\n\\n\\nPeople who are lifelong learners.\\n\\nstudents;\\n\\neducators;\\n\\ntravelers\\n\\n\\n\\nThis research helped understand that kids and teens are the most likely to use the app — so it's best to design for them. \\n\\nAn emoji sticker of a game controllerAn emoji sticker of a music noteAn emoji sticker of a child\\nCOMPETITORS\\n\\nMessaging apps require an engaging design to attract new users instead of the many competitors users could choose from. The app adds high-retention features while using a design consistent with the most used and familiar apps and games in the world to make a great user experience.\\n\\nChatGPT\\nGoogle Gemini\\nCharacter.ai\\nDESIGN OBJECTIVES\\n\\nWhat's entertaining for kids is different than for adults. Kids want apps to feel a game, with fun characters and exciting stories. After user research, I added features that focused on entertainment for kids:\\n\\n\\n\\nEasy-to-navigate interface \\n\\nCustomizable avatar with outfits \\n\\nColorful and engaging visuals \\n\\nFlashy animations \\n\\nSocial interaction \\n\\nCollectible items\\n\\nFun mini games \\n\\nMusic and sound effects\\n\\nIDEAL SOLUTION\\n\\nHey Logan proposes using a multimodal machine learning model to help users build a relationship with a digital companion. A conversational design will be used to make an engaging and human-centered experience. \\n\\nWireframing helped share a vision with stakeholders\\nInitial Mockups: Collaborated with stakeholders to prioritize features to include, define user flows, and create a familiar visual design. \\n\\n\\n\\n\\n\\nPrototyping high-quality mockups helped get feedback from stakeholders\\nTheme: Pick any color (in hindsight, orange is very bright).\\n\\n\\nChat: Send anything — text, audio, and media.\\n\\n\\nCamera: Share instant photos and video.\\n\\n\\nPhotos: See memories from the past.\\n\\n\\nFullscreen: More chats at once, search easier.\\n\\n\\nVideo chat: Phone call with audio and video.\\n\\n\\nLive: Watch and comment together.\\n\\n\\nSettings: Manage your profile and account.\\n\\n\\nQuick Chat: Chat from anywhere in the app.\\n\\n\\nUsability testing and validation helped ensure a higher quality product\\nOver 20 users aged 13–to-17 have tested Hey Logan. Participants are given a series of tasks to complete within the app, such as sending a message, sharing a video, browsing images, and customizing their profile. Participants are instructed to use the think-aloud protocol while completing the tasks. The feedback helped refine the product to be more accessible and universally inclusive. User issues often go unnoticed unless actual users are observed and talked to.\\n\\nResults\\nThe chat app reached its goal of designing an engaging product that kids would find entertaining and enjoyable to use. I learned how to create a consistent style guide that leaves a lasting impression. The product is flexible and customizable for its users.\\n\\n\\nHey Logan app\\n\\nPrototype\\n\\nLogan Garcia Portfolio”\\n\\n\\n\\n“\\nhttps://drive.google.com/file/d/1Rf77lHa-vJU_hLjr6fBsEvEbqa3w_-7r/preview\\nResume:\\nLogan Garcia \\nProduct Manager in San Francisco \\n\\nmy github:    github.com/loganngarcia\\n    loganngarcia.com\\n    linkedin.com/in/loganngarcia\\n  logangarcia105@gmail.com\\n\\n\\n\\nExperience \\n\\nAI/ML Researcher, University of California, Davis \\nAug 2025 – Present \\nSan Francisco, California \\nOptimized open-source LLMs for zero inference cost and improved CoT reasoning, parallel tool-calling, and accuracy.\\nResearching novel methods for efficiency of AI agents by combining the strengths of quantized language models. \\n\\nSenior Product Designer, Balcony Books \\nJan 2024 – Jul 2025 \\nLos Angeles, California \\nManaged end-to-end AI experience that boosted customer satisfaction by 23% and increased WCAG accessibility. \\nCollaborated cross-functionally on data-driven A/B testing to improve design, increasing impressions by 3.16M.\\n\\nProduct Designer, Healing Collective \\nJun 2022 – Dec 2023 \\nLos Angeles, California \\nLed ‘Ask with AI’ to improve discovery, browse, and search experiences, increasing engagement by 1,470%. \\nContributed 70 components to UI design system by incorporating customer feedback and usability testing. \\n\\nProduct Designer, LUXX LOFT \\nSep 2021 – May 2022 \\nLos Angeles, California \\nLaunched recurring revenue plans, increasing profit 17% YoY.\\n\\n\\nProjects \\n\\nStudy Bomb: AI agent to make students addicted to learning.\\nUno Translate: Live translate any website in 249 languages. \\nLLM Arena: Compare the best ranked AI against each other.\\n\\n\\nEducation \\n\\nMaster of Science in Business Analytics \\nUniversity of California, Davis \\n\\nBachelor of Science in International Business \\nCalifornia State University, Stanislaus \\n\\nRelevant Coursework \\nArtificial Intelligence, Machine Learning, Python, SQL, Salesforce \\n\\n\\nSkills \\n\\nCommunication \\nSlack, Teams, PowerPoint, Jira, Asana, Notion \\n\\nProgramming \\nCursor IDE, GitHub, Python, Docker, MCP, React, JavaScript, CSS, HTML \\n\\nData \\nSQL, PostHog, A/B testing, competitive analysis, customer surveys, usability testing, personas  \\n\\nDesign \\nFigma, Adobe, user interface, accessibility, motion design, prototyping, wireframes \\n“\\n\\n\\n\\n“\\nlinkedin.com/in/loganngarcia\\nLinkedIn information:\\nLogan Garcia\\n\\nAbout\\n🤖 Designing AI that people want. \\n✌️ Highly collaborative and fast-moving. \\n💬 Message me — I love meeting new people. 🤖 Designing AI that people want. ✌️ Highly collaborative and fast-moving. 💬 Message me — I love meeting new people. \\n\\nPortfolio\\nloganngarcia.com\\n\\nLogan Garcia reposted this:\\nPreeti Wadhwa, Ph.D.Preeti Wadhwa, Ph.D.\\nProfessor of Management & LeadershipProfessor of Management & Leadership\\nIn the true spirit of “Learn by Doing” philosophy at Cal Poly Pomona, last week, students at the College of Business Administration and the Singelyn Graduate School of Business, shared their engagement in the various experiential learning projects in the 6th annual CBA Showcase of Excellence organized by Beta Gamma Sigma-CPP Chapter.\\n\\nThese transformative experiences that range from academic research, client consulting projects, service learning, data analytics, micro-internship experiences, and much more, exemplify high impact practices in higher education and significantly contribute to our students’ career readiness aka become by doing. Many of these community engaged experiences also make a significant societal impact. A big shout-out to all these students, from those in the first year of their undergraduate program to those in the MSBA programs at the Singelyn Graduate School of Business, Logan Garcia, whose work was showcased in this display of academic excellence! Thanks to all the faculty mentors for their time and effort in mentoring these students and also for nudging them to display their work in this showcase! Shout out also to the Dean's office for the funding support for poster printing.\\n\\nA shout-out once again to students in my Senior Project-Consulting Experience who participated in micro-internship experiences and offered business/management consulting to four clients on and off campus for showcasing their projects Logan Garcia.\\n\\nThere is so much more happening at the CBA, in the classrooms and beyond. Please reach out if you would like your work to be recognized in the showcase next year.\\n\\n\\nPost:\\nProduct Designer at Balcony | MS in Business Analytics\\n\\nO4U is always such a joy. I’m grateful for this network that has created some of the best memories of my life. If you love joy, this is a place made for you. \\n\\nApply today at bit.ly/O4Uapply. It’s the happiest place a professional could be.\\n\\n\\nExperience\\nBalcony \\nSenior Product Designer\\nLos Angeles, California, United States\\nUsing data and collaboration to find where design can have the highest value for user experience and business success. Using data and collaboration to find where design can have the highest value for user experience and business success. \\nArtificial Intelligence \\n\\n\\n\\nHealing Collective Therapy \\nProduct Designer\\nLos Angeles, California, United States\\nDesigned ‘Ask with AI’ to enhance user experience by conducting user research and competitive analyses. Designed ‘Ask with AI’ to enhance user experience by conducting user research and competitive analyses. \\nCross-functional Collaborations\\n\\n\\n\\nLUXX LOFT \\nProduct Designer\\nPasadena, California, United States\\nComposed visual and motion design for website, social media, and email content.Composed visual and motion design for website, social media, and email content.\\nAccessibility\\n\\n\\n\\nEducation\\nUC Davis, San Francisco, CA\\nMaster of Science - MS, Business Analytics\\nGPA: 4.0\\nFull-ride scholarship. Research in product and AI/ML\\nPasadena City College\\nAssociate of Science - AS, Business, Child Development, Communications, Multicultural Studies, Psychology, and Sociology\\nEarned 7 college degrees\\n\\nSkills\\nArtificial Intelligence (AI)\\nCompany logo\\nProduct Designer at Balcony\\nCross-functional Collaborations\\nProduct Designer at Healing Collective Therapy\\nAccessibility\\nProduct Designer at LUXX LOFT Hair Salon\\nArtificial Intelligence for Design\\nMotion Design\\nProduct Design\\nProduct Management\\nUser Research\\nUser-centered Design\\nUsability Testing\\nUser Experience (UX)\\nInteraction Design\\nVisual Design\\nCopywriting\\nFigma (Software)\\nAdobe Photoshop\\nAfter Effects\\nSpanish\\n\\nCourses\\nHuman-Centered Design\\nJavaScript, CSS & HTML Programming\\nPython\\nSQL\\nSpanish 3\\nSwift Creative Coding for iOS Devices\\nTypography 2\\nUser Experience Design 2\\n\\nLanguages\\nNative English\\nSpanish”\\n\\n\",textColor:\"rgba(0, 0, 0, 0.95)\",textFont:{fontFamily:'\"Inter\", \"Inter Placeholder\", sans-serif',fontSize:\"16px\",fontStyle:\"normal\",fontWeight:400,letterSpacing:\"0px\",lineHeight:\"1.5em\",textAlign:\"left\"},universalBorderRadius:28,userMessageBackgroundColor:\"rgba(0, 20, 41, 0.08)\",welcomeMessage:\"I promise this is the best way to learn about me. I made this with Cursor!\",width:\"100%\"})})})]}),/*#__PURE__*/_jsx(\"div\",{id:\"template-overlay\"})]})});});const css=target=>{const isStaticRenderer=target===RenderTarget.canvas||target===RenderTarget.export;if(!isStaticRenderer){return[...rules,...breakpointKeys.map(key=>{const query=mediaQueries[key];return`@media ${query} { ${breakpointRules[key].join(\" \")} }`;})];}return[...rules,...breakpointKeys.flatMap(key=>{const selector=selectors[key];return breakpointRules[key].map(rule=>`${selector} {${rule}}`);})];};/**\n * This is a generated Framer component.\n * @framerIntrinsicHeight 1000\n * @framerIntrinsicWidth 1440\n * @framerCanvasComponentVariantDetails {\"propertyName\":\"variant\",\"data\":{\"default\":{\"layout\":[\"fixed\",\"fixed\"]},\"Sq1xXFD1C\":{\"layout\":[\"fixed\",\"fixed\"]},\"C42caSHwW\":{\"layout\":[\"fixed\",\"fixed\"]},\"dsZsdxK35\":{\"layout\":[\"fixed\",\"fixed\"]}}}\n * @framerImmutableVariables true\n * @framerDisplayContentsDiv false\n * @framerAutoSizeImages true\n * @framerComponentViewportWidth true\n * @framerColorSyntax true\n * @framerHitTargets {\"be93IFec7\":[\".framer-1kt3awm-container\"],\"Sq1xXFD1C\":[\".framer-1kt3awm-container\"],\"C42caSHwW\":[\".framer-1kt3awm-container\"],\"dsZsdxK35\":[\".framer-1kt3awm-container\"]}\n * @framerBreakpoints {\"be93IFec7\":{\"min\":1440,\"canvasClassName\":\"framer-1evik-override\",\"minHeight\":1000,\"name\":\"1440\",\"width\":1440,\"rootFontSize\":16},\"C42caSHwW\":{\"min\":1114,\"max\":1439,\"canvasClassName\":\"framer-qe5pnw-override\",\"minHeight\":1000,\"viewportHeight\":5697,\"name\":\"1114\",\"width\":1114,\"rootFontSize\":16},\"dsZsdxK35\":{\"min\":855,\"max\":1113,\"canvasClassName\":\"framer-ssb316-override\",\"minHeight\":1000,\"viewportHeight\":3395,\"name\":\"855\",\"width\":855,\"rootFontSize\":16},\"Sq1xXFD1C\":{\"max\":854,\"canvasClassName\":\"framer-h580kp-override\",\"minHeight\":1000,\"viewportHeight\":3630,\"name\":\"428\",\"width\":428,\"rootFontSize\":16}}\n * @framerDefaultVariant be93IFec7\n * @framerLayoutTemplate true\n */const FramerfY3FW_18y=withCSS(Component,css,\"framer-k75yi\");export default FramerfY3FW_18y;FramerfY3FW_18y.displayName=\"Template\";FramerfY3FW_18y.defaultProps={height:1e3,width:1440};addFonts(FramerfY3FW_18y,[{explicitInter:true,fonts:[{cssFamilyName:\"Inter\",source:\"framer\",style:\"normal\",uiFamilyName:\"Inter\",unicodeRange:\"U+0460-052F, U+1C80-1C88, U+20B4, U+2DE0-2DFF, U+A640-A69F, U+FE2E-FE2F\",url:\"https://framerusercontent.com/assets/5vvr9Vy74if2I6bQbJvbw7SY1pQ.woff2\",weight:\"400\"},{cssFamilyName:\"Inter\",source:\"framer\",style:\"normal\",uiFamilyName:\"Inter\",unicodeRange:\"U+0301, U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116\",url:\"https://framerusercontent.com/assets/EOr0mi4hNtlgWNn9if640EZzXCo.woff2\",weight:\"400\"},{cssFamilyName:\"Inter\",source:\"framer\",style:\"normal\",uiFamilyName:\"Inter\",unicodeRange:\"U+1F00-1FFF\",url:\"https://framerusercontent.com/assets/Y9k9QrlZAqio88Klkmbd8VoMQc.woff2\",weight:\"400\"},{cssFamilyName:\"Inter\",source:\"framer\",style:\"normal\",uiFamilyName:\"Inter\",unicodeRange:\"U+0370-03FF\",url:\"https://framerusercontent.com/assets/OYrD2tBIBPvoJXiIHnLoOXnY9M.woff2\",weight:\"400\"},{cssFamilyName:\"Inter\",source:\"framer\",style:\"normal\",uiFamilyName:\"Inter\",unicodeRange:\"U+0100-024F, U+0259, U+1E00-1EFF, U+2020, U+20A0-20AB, U+20AD-20CF, U+2113, U+2C60-2C7F, U+A720-A7FF\",url:\"https://framerusercontent.com/assets/JeYwfuaPfZHQhEG8U5gtPDZ7WQ.woff2\",weight:\"400\"},{cssFamilyName:\"Inter\",source:\"framer\",style:\"normal\",uiFamilyName:\"Inter\",unicodeRange:\"U+0000-00FF, U+0131, U+0152-0153, U+02BB-02BC, U+02C6, U+02DA, U+02DC, U+2000-206F, U+2070, U+2074-207E, U+2080-208E, U+20AC, U+2122, U+2191, U+2193, U+2212, U+2215, U+FEFF, U+FFFD\",url:\"https://framerusercontent.com/assets/GrgcKwrN6d3Uz8EwcLHZxwEfC4.woff2\",weight:\"400\"},{cssFamilyName:\"Inter\",source:\"framer\",style:\"normal\",uiFamilyName:\"Inter\",unicodeRange:\"U+0102-0103, U+0110-0111, U+0128-0129, U+0168-0169, U+01A0-01A1, U+01AF-01B0, U+1EA0-1EF9, U+20AB\",url:\"https://framerusercontent.com/assets/b6Y37FthZeALduNqHicBT6FutY.woff2\",weight:\"400\"}]},...ChatOverlayFonts],{supportsExplicitInterCodegen:true});\nexport const __FramerMetadata__ = {\"exports\":{\"Props\":{\"type\":\"tsType\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"default\":{\"type\":\"reactComponent\",\"name\":\"FramerfY3FW_18y\",\"slots\":[],\"annotations\":{\"framerIntrinsicHeight\":\"1000\",\"framerHitTargets\":\"{\\\"be93IFec7\\\":[\\\".framer-1kt3awm-container\\\"],\\\"Sq1xXFD1C\\\":[\\\".framer-1kt3awm-container\\\"],\\\"C42caSHwW\\\":[\\\".framer-1kt3awm-container\\\"],\\\"dsZsdxK35\\\":[\\\".framer-1kt3awm-container\\\"]}\",\"framerDefaultVariant\":\"be93IFec7\",\"framerIntrinsicWidth\":\"1440\",\"framerBreakpoints\":\"{\\\"be93IFec7\\\":{\\\"min\\\":1440,\\\"canvasClassName\\\":\\\"framer-1evik-override\\\",\\\"minHeight\\\":1000,\\\"name\\\":\\\"1440\\\",\\\"width\\\":1440,\\\"rootFontSize\\\":16},\\\"C42caSHwW\\\":{\\\"min\\\":1114,\\\"max\\\":1439,\\\"canvasClassName\\\":\\\"framer-qe5pnw-override\\\",\\\"minHeight\\\":1000,\\\"viewportHeight\\\":5697,\\\"name\\\":\\\"1114\\\",\\\"width\\\":1114,\\\"rootFontSize\\\":16},\\\"dsZsdxK35\\\":{\\\"min\\\":855,\\\"max\\\":1113,\\\"canvasClassName\\\":\\\"framer-ssb316-override\\\",\\\"minHeight\\\":1000,\\\"viewportHeight\\\":3395,\\\"name\\\":\\\"855\\\",\\\"width\\\":855,\\\"rootFontSize\\\":16},\\\"Sq1xXFD1C\\\":{\\\"max\\\":854,\\\"canvasClassName\\\":\\\"framer-h580kp-override\\\",\\\"minHeight\\\":1000,\\\"viewportHeight\\\":3630,\\\"name\\\":\\\"428\\\",\\\"width\\\":428,\\\"rootFontSize\\\":16}}\",\"framerDisplayContentsDiv\":\"false\",\"framerComponentViewportWidth\":\"true\",\"framerCanvasComponentVariantDetails\":\"{\\\"propertyName\\\":\\\"variant\\\",\\\"data\\\":{\\\"default\\\":{\\\"layout\\\":[\\\"fixed\\\",\\\"fixed\\\"]},\\\"Sq1xXFD1C\\\":{\\\"layout\\\":[\\\"fixed\\\",\\\"fixed\\\"]},\\\"C42caSHwW\\\":{\\\"layout\\\":[\\\"fixed\\\",\\\"fixed\\\"]},\\\"dsZsdxK35\\\":{\\\"layout\\\":[\\\"fixed\\\",\\\"fixed\\\"]}}}\",\"framerAutoSizeImages\":\"true\",\"framerColorSyntax\":\"true\",\"framerContractVersion\":\"1\",\"framerImmutableVariables\":\"true\",\"framerLayoutTemplate\":\"true\"}},\"__FramerMetadata__\":{\"type\":\"variable\"}}}","\r\n\t\timport * as Framer from \"framer\";\r\nimport * as React from \"react\";\r\nimport { createPortal } from \"react-dom\";\r\nimport * as ReactDOM from \"react-dom/client\";\r\nimport Template1 from \"https://framerusercontent.com/modules/y2XzcbjzTpEsdxYY52r6/6MsRfPw6OWvtmqaprhGD/fY3FW_18y.js\";\r\n\r\n\t\tconst routes = {augiA20Il: {elements: {A42Vyw0Gk: \"free-fashion\", Bz0Xe2bkN: \"hey-logan-2\", GJqEK3VMW: \"hey-logan-3\", J2jvRU2c5: \"therapy\", jtI377bB6: \"hey-logan\", K6xk2wost: \"hey-logan-1\"}, page: Framer.lazy(() => import(\"https://framerusercontent.com/modules/q6PFhKFnrMJlYcyVTsuW/UWKNTuW8PKU9sedqorYb/augiA20Il.js\")), path: \"/\"}, T2_jWDcZH: {elements: {}, page: Framer.lazy(() => import(\"https://framerusercontent.com/modules/SPWqm5RQqjD1rBYMA7lv/9bO8EZ7ua3fhEP7xgoY7/T2_jWDcZH.js\")), path: \"/healing-therapy\"}, CHxpEfojE: {elements: {}, page: Framer.lazy(() => import(\"https://framerusercontent.com/modules/vDHt8GwixldzaOnCVegi/xuohKDKU3qc9HQSkvrgS/CHxpEfojE.js\")), path: \"/free-fashion\"}, Z6slNCTeg: {elements: {}, page: Framer.lazy(() => import(\"https://framerusercontent.com/modules/swTkzHaHhGHkiZ0OvHdH/CdJskl5O85qNlY53VZFL/Z6slNCTeg.js\")), path: \"/studybomb\"}, KaSwStkNl: {elements: {}, page: Framer.lazy(() => import(\"https://framerusercontent.com/modules/qGnOGBlxJOP91H8Pfgn2/pjsjMKFkyeOmFLDROKXR/KaSwStkNl.js\")), path: \"/curastem\"}, OzqZj2fCS: {elements: {}, page: Framer.lazy(() => import(\"https://framerusercontent.com/modules/KXM5tMAVpCexCCvSeF8Z/3RZJeD6JFE5oy4XfbctL/OzqZj2fCS.js\")), path: \"/makermods\"}, JSoXrfHUZ: {elements: {}, page: Framer.lazy(() => import(\"https://framerusercontent.com/modules/3Wuc9ZUsX9peJ9cxd28h/SzfvpXdZHmrFi3lOp3mg/JSoXrfHUZ.js\")), path: \"/hey-logan\"}, RQoCqH5Nu: {page: Framer.lazy(() => import(\"https://framerusercontent.com/modules/8lYT29Jkq185O7ppp4lw/vGU0OikDi9VeH0zBJB6q/RQoCqH5Nu.js\"))}}\r\n\r\n\t\tconst locales = [{code: \"en-US\", id: \"default\", name: \"English\", slug: \"\", textDirection: \"ltr\"}]\r\n\t\tconst collectionUtils = {}\r\n\t\tconst framerSiteId = \"bafb61fb4f42f9dc47b7d81075ec492f28742d6193a9a3fbaf1d8574539e15ed\"\r\n\t\tfunction Template({webPageId, children, style, ...rest}) {const templateProps = {}\r\nconst props = templateProps[webPageId] ?? {}\r\nswitch (webPageId) {case \"augiA20Il\":\r\ncase \"T2_jWDcZH\":\r\ncase \"CHxpEfojE\":\r\ncase \"Z6slNCTeg\":\r\ncase \"KaSwStkNl\":\r\ncase \"OzqZj2fCS\":\r\ncase \"JSoXrfHUZ\":\r\ncase \"VvYttr7Q8\":\r\nreturn React.createElement(Template1, {...props, key: \"Template1\", style}, children(true));\r\ndefault: { return children(false) }}}\r\nexport function getLayoutTemplateBreakpoints(routeId) {switch (routeId) {case \"augiA20Il\":\r\ncase \"T2_jWDcZH\":\r\ncase \"CHxpEfojE\":\r\ncase \"Z6slNCTeg\":\r\ncase \"KaSwStkNl\":\r\ncase \"OzqZj2fCS\":\r\ncase \"JSoXrfHUZ\":\r\ncase \"VvYttr7Q8\":\r\nreturn [{hash: \"1evik\", mediaQuery: \"(min-width: 1440px)\"}, {hash: \"qe5pnw\", mediaQuery: \"(min-width: 1114px) and (max-width: 1439.98px)\"}, {hash: \"ssb316\", mediaQuery: \"(min-width: 855px) and (max-width: 1113.98px)\"}, {hash: \"h580kp\", mediaQuery: \"(max-width: 854.98px)\"}]\r\ndefault: { return undefined }}}\r\n\r\n\t\tconst isBrowser = typeof document !== \"undefined\"\r\n\t\tconst isBot = isBrowser && /bot|-google|google-|yandex|ia_archiver|crawl|spider/iu.test(navigator.userAgent)\r\n\r\n\t\texport async function getPageRoot({ routeId, pathVariables, localeId, collectionItemId }) {\r\n\t\t\tconst rootPreload = routes[routeId].page.preload()\r\n\r\n\t\t\tconst content = React.createElement(\r\n\t\t\t\tFramer.PageRoot,\r\n\t\t\t\t{\r\n\t\t\t\t\tisWebsite: true,\r\n\t\t\t\t\tenvironment: \"site\",\r\n\t\t\t\t\trouteId,\r\n\t\t\t\t\tpathVariables,\r\n\t\t\t\t\troutes,\r\n\t\t\t\t\tcollectionUtils,\r\n\t\t\t\t\tframerSiteId,\r\n\t\t\t\t\tnotFoundPage: Framer.lazy(() => import(\"__framer-not-found-page\")),\r\n\t\t\t\t\tisReducedMotion: true,\r\n\t\t\t\t\tlocaleId,\r\n\t\t\t\t\tlocales,\r\n\t\t\t\t\tpreserveQueryParams: true,\r\n\t\t\t\t\tsiteCanonicalURL: \"https://www.loganngarcia.com\",\r\n\t\t\t\t\tEditorBar: \r\n\t\t\ttypeof window !== \"undefined\" ? (() => {\r\n\t\t\t\tif (isBot) {\r\n\t\t\t\t\tconsole.log(\"[Framer On-Page Editing] Unavailable because navigator is bot\")\r\n\t\t\t\t\treturn\r\n\t\t\t\t}\r\n\r\n\t\t\t\treturn Framer.lazy(async () => {\r\n\t\t\t\t\tconst dependencies = {\r\n\t\t\t\t\t\t__version: 3,\r\n\t\t\t\t\t\tframer: {\r\n\t\t\t\t\t\t\tuseCurrentRoute: Framer.useCurrentRoute,\r\n\t\t\t\t\t\t\tuseLocaleInfo: Framer.useLocaleInfo,\r\n\t\t\t\t\t\t\tuseRouter: Framer.useRouter,\r\n\t\t\t\t\t\t},\r\n\t\t\t\t\t\treact: {\r\n\t\t\t\t\t\t\tcreateElement: React.createElement,\r\n\t\t\t\t\t\t\tFragment: React.Fragment,\r\n\t\t\t\t\t\t\tmemo: React.memo,\r\n\t\t\t\t\t\t\tuseCallback: React.useCallback,\r\n\t\t\t\t\t\t\tuseEffect: React.useEffect,\r\n\t\t\t\t\t\t\tuseRef: React.useRef,\r\n\t\t\t\t\t\t\tuseState: React.useState,\r\n\t\t\t\t\t\t\tuseLayoutEffect: React.useLayoutEffect,\r\n\t\t\t\t\t\t},\r\n\t\t\t\t\t\t\"react-dom\": { createPortal },\r\n\t\t\t\t\t}\r\n\r\n\t\t\t\t\twindow.__framer_editorBarDependencies = dependencies\r\n\r\n\t\t\t\t\tconst { createEditorBar } = await import(\"https://framer.com/edit/init.mjs\")\r\n\t\t\t\t\treturn {\r\n\t\t\t\t\t\tdefault: createEditorBar(),\r\n\t\t\t\t\t}\r\n\t\t\t\t})\r\n\t\t\t})() : undefined\r\n\t\t,\r\n\t\t\t\t\tadaptLayoutToTextDirection: false,\r\n\t\t\t\t\tLayoutTemplate: Template,\r\n\t\t\t\t\tloadSnippetsModule: new Framer.LazyValue(() => import(\"https://framerusercontent.com/modules/XPxRIWV8RkomUaNG8IC8/CiPV87pRoZ4vOJKngL5Y/snippets.js\")),\r\n\t\t\t\t\tinitialCollectionItemId: collectionItemId,\r\n\t\t\t\t}\r\n\t\t\t)\r\n\r\n\t\t\tconst contentWithFeaturesContext = React.createElement(\r\n\t\t\t\tFramer.LibraryFeaturesProvider,\r\n\t\t\t\t{\r\n\t\t\t\t\tchildren: content,\r\n\t\t\t\t\tvalue: {autobahnNavigation: true, editorBarDisableFrameAncestorsSecurity: false, motionDivToDiv: false, onPageLocalizationSupport: true, onPageMoveTool: true, synchronousNavigationOnDesktop: false, yieldOnTap: false}\r\n\t\t\t\t}\r\n\t\t\t)\r\n\r\n\t\t\tconst contentWithGracefullyDegradingErrorBoundary = React.createElement(Framer.GracefullyDegradingErrorBoundary, {\r\n\t\t\t\tchildren: contentWithFeaturesContext\r\n\t\t\t})\r\n\r\n\t\t\tconst effect = {enter: {opacity: 1, rotate: 0, rotate3d: false, rotateX: 0, rotateY: 0, scale: 0.5, transition: {damping: 30, delay: 0, duration: 0.2, ease: [0.27, 0, 0.51, 1], mass: 1, stiffness: 400, type: \"tween\"}, x: \"0px\", y: \"0px\"}, exit: {opacity: 1, rotate: 0, rotate3d: false, rotateX: 0, rotateY: 0, scale: 0.5, transition: {damping: 30, delay: 0.2, duration: 0.2, ease: [0.27, 0, 0.51, 1], mass: 1, stiffness: 400, type: \"tween\"}, x: \"0px\", y: \"0px\"}}\r\nconst effect1 = {enter: {opacity: 1, rotate: 0, rotate3d: false, rotateX: 0, rotateY: 0, scale: 1, transition: {damping: 30, delay: 0, duration: 0.4, ease: [0.27, 0, 0.51, 1], mass: 1, stiffness: 400, type: \"tween\"}, x: \"100%\", y: \"0px\"}, exit: {opacity: 1, rotate: 0, rotate3d: false, rotateX: 0, rotateY: 0, scale: 1, transition: {damping: 30, delay: 0, duration: 0.4, ease: [0.27, 0, 0.51, 1], mass: 1, stiffness: 400, type: \"tween\"}, x: \"-100%\", y: \"0px\"}}\r\nconst effect2 = {enter: {opacity: 1, rotate: 0, rotate3d: false, rotateX: 0, rotateY: 0, scale: 0, transition: {bounce: 0.2, damping: 30, delay: 0, duration: 0.2, durationBasedSpring: true, ease: [0.27, 0, 0.51, 1], mass: 1, stiffness: 400, type: \"tween\"}, x: \"0%\", y: \"0px\"}, exit: {opacity: 0, rotate: 0, rotate3d: false, rotateX: 0, rotateY: 0, scale: 1, transition: {damping: 30, delay: 0, duration: 0.2, ease: [0.27, 0, 0.51, 1], mass: 1, stiffness: 400, type: \"tween\"}, x: \"0%\", y: \"0px\"}}\r\nconst effect3 = {enter: {opacity: 1, rotate: 0, rotate3d: false, rotateX: 0, rotateY: 0, scale: 0, transition: {bounce: 0.2, damping: 30, delay: 0, duration: 0.2, durationBasedSpring: true, ease: [0.27, 0, 0.51, 1], mass: 1, stiffness: 400, type: \"tween\"}, x: \"25%\", y: \"0px\"}, exit: {opacity: 0, rotate: 0, rotate3d: false, rotateX: 0, rotateY: 0, scale: 1, transition: {damping: 30, delay: 0, duration: 0.2, ease: [0.27, 0, 0.51, 1], mass: 1, stiffness: 400, type: \"tween\"}, x: \"0%\", y: \"0px\"}}\r\nconst effect4 = {enter: {opacity: 1, rotate: 0, rotate3d: false, rotateX: 0, rotateY: 0, scale: 0, transition: {damping: 30, delay: 0, duration: 0.2, ease: [0.27, 0, 0.51, 1], mass: 1, stiffness: 400, type: \"tween\"}, x: \"-25%\", y: \"0px\"}, exit: {opacity: 0, rotate: 0, rotate3d: false, rotateX: 0, rotateY: 0, scale: 1, transition: {damping: 30, delay: 0, duration: 0.2, ease: [0.27, 0, 0.51, 1], mass: 1, stiffness: 400, type: \"tween\"}, x: \"0%\", y: \"0px\"}}\r\nconst effect5 = {enter: {opacity: 0, rotate: 0, rotate3d: false, rotateX: 0, rotateY: 0, scale: 1, transition: {bounce: 0.2, damping: 30, delay: 0, duration: 0.2, durationBasedSpring: true, ease: [0.27, 0, 0.51, 1], mass: 1, stiffness: 400, type: \"tween\"}, x: \"0px\", y: \"0px\"}, exit: {opacity: 0, rotate: 0, rotate3d: false, rotateX: 0, rotateY: 0, scale: 0, transition: {damping: 30, delay: 0, duration: 0.2, ease: [0.27, 0, 0.51, 1], mass: 1, stiffness: 400, type: \"tween\"}, x: \"-25%\", y: \"0px\"}}\r\nconst effect6 = {enter: {opacity: 0, rotate: 0, rotate3d: false, rotateX: 0, rotateY: 0, scale: 1, transition: {bounce: 0.2, damping: 30, delay: 0, duration: 0.2, durationBasedSpring: true, ease: [0.27, 0, 0.51, 1], mass: 1, stiffness: 400, type: \"tween\"}, x: \"0px\", y: \"0px\"}, exit: {opacity: 0, rotate: 0, rotate3d: false, rotateX: 0, rotateY: 0, scale: 0, transition: {damping: 30, delay: 0, duration: 0.2, ease: [0.27, 0, 0.51, 1], mass: 1, stiffness: 400, type: \"tween\"}, x: \"0%\", y: \"0px\"}}\r\nconst effect7 = {enter: {opacity: 0, rotate: 0, rotate3d: false, rotateX: 0, rotateY: 0, scale: 1, transition: {bounce: 0.2, damping: 30, delay: 0, duration: 0.2, durationBasedSpring: true, ease: [0.27, 0, 0.51, 1], mass: 1, stiffness: 400, type: \"tween\"}, x: \"0px\", y: \"0px\"}, exit: {opacity: 0, rotate: 0, rotate3d: false, rotateX: 0, rotateY: 0, scale: 0, transition: {damping: 30, delay: 0, duration: 0.2, ease: [0.27, 0, 0.51, 1], mass: 1, stiffness: 400, type: \"tween\"}, x: \"25%\", y: \"0px\"}}\r\n\t\t\tconst page = React.createElement(Framer.PageEffectsProvider, {\r\n\t\t\t\tchildren: contentWithGracefullyDegradingErrorBoundary,\r\n\t\t\t\tvalue: {routes: {augiA20Il: {\"*\": effect, CHxpEfojE: effect3, JSoXrfHUZ: effect3, KaSwStkNl: effect4, T2_jWDcZH: effect2, VvYttr7Q8: effect1, Z6slNCTeg: effect2}, CHxpEfojE: {augiA20Il: effect6}, JSoXrfHUZ: {augiA20Il: effect7}, KaSwStkNl: {augiA20Il: effect6}, OzqZj2fCS: {augiA20Il: effect6}, T2_jWDcZH: {augiA20Il: effect5}, Z6slNCTeg: {augiA20Il: effect6}}}\r\n\t\t\t})\r\n\r\n\t\t\t// We don't want the initial render to immediately have to suspend.\r\n\t\t\tawait rootPreload\r\n\t\t\treturn page\r\n\t\t}\r\n\r\n\t\tif (isBrowser) {\r\n\t\t\twindow.__framer_importFromPackage = (packageAndFilename, exportIdentifier) => () => {\r\n\t\t\t\treturn React.createElement(Framer.ErrorPlaceholder, { error: 'Package component not supported: \"' + exportIdentifier + '\" in \"' + packageAndFilename + '\"' })\r\n\t\t\t}\r\n\r\n\t\t\twindow.__framer_events = window.__framer_events || []\r\n\r\n\t\t\t// Initialize lazy modules cache for hydration\r\n\t\t\tFramer.initLazyModulesCache()\r\n\r\n\t\t\t// Fallback support for stack gaps\r\n\t\t\tFramer.installFlexboxGapWorkaroundIfNeeded()\r\n\r\n\t\t\tconst container = document.getElementById(\"main\")\r\n\t\t\t// We know that #main is parsed before this script, so we don't need to wait for DOMContentLoaded or similar events.\r\n\t\t\tif (\"framerHydrateV2\" in container.dataset) main(true, container)\r\n\t\t\telse main(false, container)\r\n\t\t}\r\n\r\n\t\tfunction track() {\r\n\t\t\tif (!isBrowser) return\r\n\t\t\twindow.__framer_events.push(arguments)\r\n\t\t}\r\n\r\n\t\tasync function main(shouldHydrate, container) {\r\n\t\t\tfunction handleError(error, errorInfo, recoverable = true) {\r\n\t\t\t\tif (error.caught || window.__framer_hadFatalError) return // we already logged it\r\n\r\n\t\t\t\tconst componentStack = errorInfo?.componentStack\r\n\t\t\t\tif (recoverable) {\r\n\t\t\t\t\tconsole.warn(\"Caught a recoverable error. The site is still functional, but might have some UI flickering or degraded page load performance. If you are the author of this website, update external components and check recently added custom code or code overrides to fix the following server/client mismatches:\\n\", error, componentStack)\r\n\t\t\t\t\t// we only want to collect 1%, because this can be quite noisy (floods the data pipeline)\r\n\t\t\t\t\tif (Math.random() > 0.01) return\r\n\t\t\t\t} else {\r\n\t\t\t\t\tconsole.error(\"Caught a fatal error. Please report the following to the Framer team via https://www.framer.com/contact/:\\n\", error, componentStack)\r\n\t\t\t\t}\r\n\t\t\t\ttrack(recoverable ? \"published_site_load_recoverable_error\" : \"published_site_load_error\", {\r\n\t\t\t\t\tmessage: String(error),\r\n\t\t\t\t\tcomponentStack, // componentStack is more useful\r\n\t\t\t\t\tstack: componentStack ? undefined : error instanceof Error && typeof error.stack === \"string\" ? error.stack : null,\r\n\t\t\t\t})\r\n\t\t\t}\r\n\r\n\t\t\ttry {\r\n\t\t\t\tlet routeId, localeId, pathVariables, breakpoints, routeData\r\n\t\t\t\tif (shouldHydrate) {\r\n\t\t\t\t\trouteData = JSON.parse(container.dataset[\"framerHydrateV2\"])\r\n\t\t\t\t\trouteId = routeData.routeId\r\n\t\t\t\t\tlocaleId = routeData.localeId\r\n\t\t\t\t\tpathVariables = routeData.pathVariables\r\n\t\t\t\t\tbreakpoints = routeData.breakpoints\r\n\r\n\t\t\t\t\trouteId = Framer.patchRoutesForABTesting(routes, routeId) // Prioritize optimized route id to avoid flickering in browsers not supporting the server-timing header (Safari older than 16.4)\r\n\t\t\t\t} else {\r\n\t\t\t\t\tFramer.patchRoutesForABTesting(routes, undefined) // This must happen before inferInitialRouteFromPath\r\n\r\n\t\t\t\t\t\r\n\t\t\t\t\tconst serverRouteExperimentEnabled = true\r\n\t\t\t\t\tconst serverRoute = serverRouteExperimentEnabled && performance.getEntriesByType(\"navigation\")[0]?.serverTiming?.find(e => e.name === \"route\")?.description\r\n\t\t\t\t\tif (serverRoute) {\r\n\t\t\t\t\t\tconst routeData = new URLSearchParams(serverRoute)\r\n\t\t\t\t\t\trouteId = routeData.get(\"id\")\r\n\t\t\t\t\t\tlocaleId = routeData.get(\"locale\")\r\n\t\t\t\t\t\tfor (const [key, value] of routeData.entries()) {\r\n\t\t\t\t\t\t\tif (!key.startsWith(\"var.\")) continue\r\n\t\t\t\t\t\t\tpathVariables ??= {}\r\n\t\t\t\t\t\t\tpathVariables[key.slice(4)] = value\r\n\t\t\t\t\t\t}\r\n\t\t\t\t\t}\r\n\t\t\t\t\tif (!routeId || !localeId) {\r\n\t\t\t\t\t\tconst routeData = Framer.inferInitialRouteFromPath(routes, decodeURIComponent(location.pathname), true, locales)\r\n\t\t\t\t\t\trouteId = routeData.routeId\r\n\t\t\t\t\t\tlocaleId = routeData.localeId\r\n\t\t\t\t\t\tpathVariables = routeData.pathVariables\r\n\t\t\t\t\t}\r\n\t\t\t\t\t\r\n\t\t\t\t}\r\n\r\n\t\t\t\tconst pagePromise = getPageRoot({\r\n\t\t\t\t\trouteId,\r\n\t\t\t\t\tlocaleId,\r\n\t\t\t\t\tpathVariables,\r\n\t\t\t\t\tcollectionItemId: routeData?.collectionItemId,\r\n\t\t\t\t})\r\n\r\n\t\t\t\t\r\nif (typeof window !== \"undefined\") {\r\n\tvoid (async () => {\r\n\t\tconst route = routes[routeId]\r\n\r\n\t\tconst defaultLocaleId = \"default\"\r\n\t\tconst framerLocale = locales.find(({ id }) => !localeId ? id === defaultLocaleId : id === localeId).code\r\n\r\n\t\tlet collectionItemId = routeData?.collectionItemId ?? null\r\n\t\tif (collectionItemId === null && route?.collectionId && collectionUtils) {\r\n\t\t\t  const utils = await collectionUtils[route.collectionId]?.()\r\n\t\t\t  const [slug] = Object.values(pathVariables)\r\n\t\t\t  if (utils && typeof slug === \"string\") {\r\n\t\t\t\t  collectionItemId = (await utils.getRecordIdBySlug(slug, framerLocale || undefined)) ?? null\r\n\t\t\t  }\r\n\t\t}\r\n\r\n\t\tconst resolvedDateTimeOptions = Intl.DateTimeFormat().resolvedOptions()\r\n\t\tconst timezone = resolvedDateTimeOptions.timeZone\r\n\t\tconst locale = resolvedDateTimeOptions.locale\r\n\r\n\t\t// wait for the page to be activated before sending the pageview event\r\n\t\t// https://developer.chrome.com/docs/web-platform/prerender-pages#impact-on-analytics\r\n\t\tawait new Promise((resolve) => {\r\n\t\t\tif (document.prerendering) {\r\n\t\t\t\tdocument.addEventListener(\"prerenderingchange\", resolve, { once: true })\r\n\t\t\t} else {\r\n\t\t\t\tresolve()\r\n\t\t\t}\r\n\t\t})\r\n\r\n\t\twindow.__framer_events.push([\r\n\t\t\t\"published_site_pageview\",\r\n\t\t\t{\r\n\t\t\t\tframerSiteId: framerSiteId ?? null,\r\n\t\t\t\tversion: 2,\r\n\t\t\t\troutePath: route?.path || \"/\",\r\n\t\t\t\tcollectionItemId,\r\n\t\t\t\tframerLocale: framerLocale || null,\r\n\t\t\t\twebPageId: route?.abTestingVariantId ?? routeId,\r\n\t\t\t\tabTestId: route?.abTestId,\r\n\t\t\t\treferrer: document.referrer || null,\r\n\t\t\t\turl: window.location.href,\r\n\t\t\t\thostname: window.location.hostname || null,\r\n\t\t\t\tpathname: window.location.pathname || null,\r\n\t\t\t\thash: window.location.hash || null,\r\n\t\t\t\tsearch: window.location.search || null,\r\n\t\t\t\ttimezone,\r\n\t\t\t\tlocale,\r\n\t\t\t},\r\n\t\t\t\"eager\"\r\n\t\t])\r\n\r\n\t\t// Yield to avoid blocking the main thread with the user code\r\n\t\tawait Framer.yieldToMain({ priority: \"background\", ensureContinueBeforeUnload: true, continueAfter: \"paint\" })\r\n\r\n\t\tdocument.dispatchEvent(new CustomEvent(\"framer:pageview\", {\r\n\t\t\tdetail: { framerLocale: framerLocale || null }\r\n\t\t}))\r\n\t})()\r\n}\r\n\r\n\r\n\t\t\t\tconst page = await pagePromise\r\n\t\t\t\tif (shouldHydrate) 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