[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_170":171,"_172":173},"routes/_app.x.$handle.$name",{"_97":96,"_32":45,"_105":87,"_27":106,"_13":14,"_107":-5,"_11":108,"_109":110,"_111":112,"_113":114,"_115":116,"_20":-5,"_117":-5,"_118":-5,"_119":25,"_120":121,"_122":58,"_123":-5,"_124":-5,"_125":126},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_43":44,"_32":45,"_38":46,"_47":-5,"_48":25,"_49":50,"_51":50,"_52":53,"_54":-5,"_18":55,"_56":31,"_57":58,"_59":-5,"_60":61,"_62":63,"_64":65,"_66":-5,"_67":-5,"_68":-5,"_69":-5,"_70":71,"_72":71,"_73":74,"_75":74,"_76":74,"_77":71,"_78":71,"_79":80,"_81":82,"_83":84,"_85":25},"version",189,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":28,"_33":34,"_35":37,"_38":39,"_40":14,"_41":42,"_24":25},"previous",{"_30":31,"_32":28,"_33":34,"_35":36},"deleted",false,"deletedHere","path","main.tsx","latestPath","fileId","5ffa6270-1adf-11f0-8160-569c3dd06744","name","fileType","http","content","/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport Cerebras from \"https://esm.sh/@cerebras/cerebras_cloud_sdk\";\nimport { createRoot } from \"https://esm.sh/react-dom@18.2.0/client\";\nimport { Prism as SyntaxHighlighter } from \"https://esm.sh/react-syntax-highlighter\";\nimport React, { useEffect, useState } from \"https://esm.sh/react@18.2.0\";\nimport { STARTER_PROMPTS } from \"./cerebras_coder_prompts\";\n\n// random 3 prompts from STARTER_PROMPTS\nconst prompts = STARTER_PROMPTS.sort(() => Math.random() - 0.5).slice(0, 4);\n\ntype PromptItem = typeof prompts[number];\n\nconst PoweredBy = ({ className }: { className?: string }) => (\n \n

\n Powered by Llama3.3-70B on Cerebras\n

\n \n);\n\nfunction Hero({\n prompt,\n setPrompt,\n handleSubmit,\n handleStarterPromptClick,\n}: {\n prompt: string;\n setPrompt: React.Dispatch>;\n handleSubmit: (e: React.FormEvent) => void;\n handleStarterPromptClick: (promptItem: PromptItem) => void;\n}) {\n return (\n

\n \n

\n Dream it. Code it.
\n Instantly.\n

\n\n

\n Turn your ideas into fully functional apps in{\" \"}\n \n less than a second\n \n

\n\n

\n setPrompt(e.target.value)}\n placeholder=\"Build me a calculator app...\"\n className=\"w-full h-[52px] rounded-full bg-black border border-[#353535] py-6 px-8 placeholder:bg-clip-text placeholder:text-transparent placeholder:opacity-50 placeholder:bg-[linear-gradient(90.138deg,_#FFFFFF_0%,_rgba(255,_255,_255,_36%)_100%)] focus:focus:outline focus:outline-offset-2 focus:outline-[var(--deepblue)] text-2xl placeholder:text-2xl\"\n />\n \n \n \n \n \n \n \n \n\n Prompt\n \n \n\n

\n {prompts.map(promptItem => (\n handleStarterPromptClick(promptItem)}\n className=\"text-xs rounded-full border border-[#353535] text-[#aaa] p-1 px-2 whitespace-nowrap hover:cursor-pointer hover:bg-gray-900 hover:translate-y-[-1px] hover:text-white transition-all\"\n >\n {promptItem.title}\n \n ))}\n

\n );\n}\n\nfunction App() {\n const previewRef = React.useRef(null);\n const [prompt, setPrompt] = useState(\"\");\n const [projectId, setProjectId] = useState(null);\n const [projectVersion, setProjectVersion] = useState(null);\n const [shareModalOpen, setShareModalOpen] = useState(false);\n\n const [iframeKey, setIframeKey] = useState(0);\n\n const [code, setCode] = useState(\"\");\n const [viewingCode, setViewingCode] = useState(false);\n const [loading, setLoading] = useState(false);\n const [performance, setPerformance] = useState<\n {\n tokensPerSecond: number;\n totalTokens: number;\n time: number;\n }\n >({\n tokensPerSecond: 0,\n totalTokens: 0,\n time: 0,\n });\n\n const handleClipboard = async (str: string) => {\n await navigator.clipboard.writeText(str);\n Toastify({\n text: \"Copied to clipboard!\",\n position: \"center\",\n duration: 3000,\n style: {\n background: \"linear-gradient(to right, #00b09b, #96c93d)\",\n borderRadius: \"20px\",\n },\n }).showToast();\n };\n\n const handleRefresh = () => {\n setIframeKey(prevKey => prevKey + 1);\n };\n\n const [versionHistory, setVersionHistory] = useState<{\n currentVersionIndex: number;\n versions: {\n code: string;\n prompt: string;\n timestamp: number;\n }[];\n }>({\n currentVersionIndex: 0,\n versions: [],\n });\n\n function handleStarterPromptClick(promptItem: typeof prompts[number]) {\n setLoading(true);\n setTimeout(() => handleSubmit(promptItem.prompt), 0);\n }\n\n async function handleSubmit(e: React.FormEvent | string) {\n if (typeof e !== \"string\") {\n e.preventDefault();\n }\n setLoading(true);\n\n try {\n const response = await fetch(\"/\", {\n method: \"POST\",\n body: JSON.stringify({\n prompt: typeof e === \"string\" ? e : prompt,\n currentCode: code,\n projectId,\n }),\n headers: { \"Content-Type\": \"application/json\" },\n });\n if (!response.ok) {\n throw new Error(\"Generation Error: \" + await response.text());\n }\n\n const result = await response.json();\n\n setProjectId(result.projectId);\n setProjectVersion(result.versionNumber);\n setCode(result.code);\n setPerformance(result.performance);\n setVersionHistory({\n currentVersionIndex: versionHistory.versions.length,\n versions: [...versionHistory.versions, {\n code: result.code,\n prompt,\n timestamp: Date.now(),\n }],\n });\n setPrompt(\"\");\n } catch (error) {\n Toastify({\n text: \"Something went wrong. (Error in the console.)\",\n position: \"center\",\n duration: 3000,\n style: {\n background: \"linear-gradient(to right, #ff5f6d, #ffc371)\",\n borderRadius: \"20px\",\n },\n }).showToast();\n console.error(error);\n } finally {\n setLoading(false);\n }\n }\n\n function handleVersionChange(direction: \"back\" | \"forward\") {\n const { currentVersionIndex, versions } = versionHistory;\n if (direction === \"back\" && currentVersionIndex > 0) {\n const newIndex = currentVersionIndex - 1;\n setCode(versions[newIndex].code);\n setVersionHistory(prev => ({\n ...prev,\n currentVersionIndex: newIndex,\n }));\n } else if (direction === \"forward\" && currentVersionIndex < versions.length - 1) {\n const newIndex = currentVersionIndex + 1;\n setCode(versions[newIndex].code);\n setVersionHistory(prev => ({\n ...prev,\n currentVersionIndex: newIndex,\n }));\n }\n }\n\n const projectURL = `${window.location.origin}/p/${projectId}`;\n const versionURL = `${window.location.origin}/p/${projectId}/v/${projectVersion}`;\n\n return (\n

\n \n \n \n \n \n \n \n \n \n \n \n \n\n Cerebras Coder\n \n\n \n\n \n \n \n \n Fork on{\" \"}\n \n \n \n \n

\n\n {shareModalOpen && (\n

Share your project

\n setShareModalOpen(false)}\n >\n \n \n \n \n

Latest Version

\n This is a live link to your project. It will change if you make more edits.\n

\n handleClipboard(projectURL)}\n >\n \n {projectURL}\n \n

\n \n

\n Pinned version (`#{projectVersion}`)\n

\n This is a permalink to v{projectVersion}. It won't change if you make more edits.\n

\n handleClipboard(versionURL)}\n >\n \n {versionURL}\n \n

\n \n

\n \n )}\n\n {code\n ? undefined\n : (\n

\n \n

\n )}\n\n {code && (\n \n

\n setPrompt(e.target.value)}\n className=\"w-full h-[52px] rounded-full bg-black border-2 border-[#e2e2e2] py-6 px-8 focus:focus:outline focus:outline-[var(--deepblue)] text-2xl placeholder:text-2xl\"\n />\n \n \n

\n Code\n handleClipboard(code)}\n className=\"size-7 flex items-center justify-center p-1 rounded-full bg-[#1b1b1b] hover:bg-gray-800\"\n >\n \n Copy code\n \n

\n \n {code}\n \n

\n\n

\n Preview\n

\n \n \n \n \n \n \n \n \n \n \n \n \n\n Refresh\n \n \n \n \n \n \n \n \n setShareModalOpen(true)}\n className=\"bg-white h-8 text-black font-medium flex items-center gap-1 shadow-button px-4 py-2 rounded-full hover:cursor-pointer hover:bg-opacity-90\"\n >\n \n \n \n\n Share\n \n

\n \n \n \n

\n \n Version: {versionHistory.currentVersionIndex + 1} / {versionHistory.versions.length}\n handleVersionChange(\"forward\")}\n disabled={versionHistory.currentVersionIndex === versionHistory.versions.length - 1}\n >\n →\n \n

\n \n \n \n \n \n

\n {performance.tokensPerSecond.toFixed(2)} tokens\n

\n\n

\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n

\n {performance.totalTokens} token/s\n

\n\n

\n \n \n \n \n \n \n \n \n \n\n

\n {performance.time.toFixed(2)}s\n

\n \n )}\n\n \n \n );\n}\n\nconst valURL = import.meta.url.replace(\"esm\", \"val\").split(\"?\")[0];\n\nconst ValTownSVG = ({ color }: { color?: string } = { color: \"white\" }) => (\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n);\n\nconst CopyIcon = () => (\n \n \n \n \n \n \n \n \n \n \n);\n\nfunction client() {\n const path = window.location.pathname;\n const root = createRoot(document.getElementById(\"root\")!);\n\n root.render();\n}\n\nconst KEY = \"cerebras_coder2\";\nconst SCHEMA_VERSION = 5;\n\nif (typeof document !== \"undefined\") {\n client();\n} else {\n // Create tables for tracking generations\n const { sqlite } = await import(\"https://esm.town/v/stevekrouse/sqlite\");\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS ${KEY}_projects_${SCHEMA_VERSION} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n initial_prompt TEXT NOT NULL,\n created_at DATETIME DEFAULT CURRENT_TIMESTAMP\n )\n `);\n\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS ${KEY}_iterations_${SCHEMA_VERSION} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n project_id INTEGER NOT NULL,\n version_number INTEGER NOT NULL,\n prompt TEXT NOT NULL,\n code TEXT NOT NULL,\n created_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n FOREIGN KEY(project_id) REFERENCES ${KEY}_projects_${SCHEMA_VERSION}(id)\n )\n `);\n}\n\nfunction extractCodeFromFence(text: string): string {\n const htmlMatch = text.match(/```html\\n([\\s\\S]*?)\\n```/);\n return htmlMatch ? htmlMatch[1].trim() : text;\n}\n\nasync function generateCode(prompt: string, currentCode: string) {\n const starterPrompt = STARTER_PROMPTS.find(p => p.prompt === prompt);\n if (starterPrompt) {\n return {\n code: starterPrompt.code,\n time: starterPrompt.performance.time,\n totalTokens: starterPrompt.performance.totalTokens,\n };\n } else {\n const client = new Cerebras({ apiKey: Deno.env.get(\"CEREBRAS_API_KEY\") });\n const completion = await client.chat.completions.create({\n messages: [\n {\n role: \"system\",\n content: `You are an advanced AI coding assistant that generates websites. \n \n Include all necessary HTML, CSS, and JavaScript in a single complete HTML file.\n Avoid use of alert or input. Make yourself a modal if you need it.\n Unless otherwise specified, use TailwindCSS. Make it look like it was built with shadcn/ui.\n Make the app look like a polished, full website.\n Before coding, write your plan in a \\`\\`\\`thinking code fence. \n Always wrap your response in \\`\\`\\`html code fences.`,\n },\n currentCode\n ? {\n role: \"system\",\n content: `Current code to modify:\\n\\`\\`\\`html\\n${currentCode}\\n\\`\\`\\``,\n }\n : undefined,\n {\n role: \"user\",\n content: prompt,\n },\n ].filter(Boolean),\n model: \"llama-3.3-70b\",\n });\n return {\n code: extractCodeFromFence(completion.choices[0].message.content),\n time: completion.time_info.completion_time,\n totalTokens: completion.usage?.completion_tokens || 1,\n };\n }\n}\n\nexport default async function server(req: Request): Promise {\n // Dynamic import for SQLite to avoid client-side import\n const { sqlite } = await import(\"https://esm.town/v/stevekrouse/sqlite\");\n\n if (req.method === \"POST\") {\n let { prompt, currentCode, versionHistory, projectId } = await req.json();\n\n const { code, time, totalTokens } = await generateCode(prompt, currentCode);\n\n // If no version history exists, create a new project\n let versionNumber = 0;\n if (!projectId) {\n const projectResult = await sqlite.execute(\n `INSERT INTO ${KEY}_projects_${SCHEMA_VERSION} (initial_prompt) VALUES (?)`,\n [prompt],\n );\n projectId = projectResult.lastInsertRowid as unknown as number;\n } else {\n // get last version number for this project id\n const data = await sqlite.execute(\n `SELECT version_number FROM ${KEY}_iterations_${SCHEMA_VERSION}\n WHERE project_id = ? ORDER BY version_number DESC LIMIT 1`,\n [projectId],\n );\n const currentVersion = data.rows[0]?.version_number as unknown as number || 0;\n versionNumber = currentVersion + 1;\n }\n\n await sqlite.execute(\n `INSERT INTO ${KEY}_iterations_${SCHEMA_VERSION} \n (project_id, version_number, prompt, code) VALUES (?, ?, ?, ?)`,\n [projectId, versionNumber, prompt, code],\n );\n\n return new Response(\n JSON.stringify({\n code,\n projectId,\n versionNumber,\n performance: {\n tokensPerSecond: totalTokens / time,\n totalTokens,\n time,\n },\n }),\n {\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n }\n\n // output url in format /p/:project/v/:version\n const url = new URL(req.url);\n if (url.pathname.startsWith(\"/p/\")) {\n const [, , project, , version] = url.pathname.split(\"/\");\n let data;\n if (version === undefined) {\n data = await sqlite.execute(\n `SELECT code FROM cerebras_coder2_iterations_5\n WHERE project_id = ?\n ORDER BY version_number desc\n LIMIT 1`,\n [parseInt(project)],\n );\n } else {\n data = await sqlite.execute(\n `SELECT code FROM cerebras_coder2_iterations_5\n WHERE project_id = ? AND version_number = ?\n LIMIT 1`,\n [parseInt(project), parseInt(version)],\n );\n }\n const code = data.rows[0]?.code;\n if (!code) {\n return new Response(\"Not found\", { status: 404 });\n }\n return new Response(code as string, {\n headers: { \"Content-Type\": \"text/html\" },\n });\n }\n\n return new Response(\n `\n \n \n \n \n \n CerebrasCoder\n \n \n \n \n\n \n \n \n\n \n \n \n \n

\n \n \n \n \n `,\n {\n headers: { \"Content-Type\": \"text/html\" },\n },\n );\n}","/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport Cerebras from \"https://esm.sh/@cerebras/cerebras_cloud_sdk\";\nimport { createRoot } from \"https://esm.sh/react-dom@18.2.0/client\";\nimport { Prism as SyntaxHighlighter } from \"https://esm.sh/react-syntax-highlighter\";\nimport React, { useEffect, useState } from \"https://esm.sh/react@18.2.0\";\nimport { STARTER_PROMPTS } from \"./cerebras_coder_prompts\";\n\n// random 3 prompts from STARTER_PROMPTS\nconst prompts = STARTER_PROMPTS.sort(() => Math.random() - 0.5).slice(0, 4);\n\ntype PromptItem = typeof prompts[number];\n\nconst PoweredBy = ({ className }: { className?: string }) => (\n \n

\n Powered by Llama3.3-70B on Cerebras\n

\n \n

\n Dream it. Code it.
\n Instantly.\n

\n\n

\n Turn your ideas into fully functional apps in{\" \"}\n \n less than a second\n \n

\n\n

\n \n \n \n \n \n \n \n \n \n \n \n \n\n Cerebras Coder\n \n\n \n\n \n \n \n \n Fork on{\" \"}\n \n \n \n \n

\n\n {shareModalOpen && (\n

Share your project

\n setShareModalOpen(false)}\n >\n \n \n \n \n

Latest Version

\n This is a live link to your project. It will change if you make more edits.\n

\n handleClipboard(projectURL)}\n >\n \n {projectURL}\n \n

\n \n

\n Pinned version (`#{projectVersion}`)\n

\n This is a permalink to v{projectVersion}. It won't change if you make more edits.\n

\n handleClipboard(versionURL)}\n >\n \n {versionURL}\n \n

\n \n

\n \n )}\n\n {code\n ? undefined\n : (\n

\n \n

\n )}\n\n {code && (\n \n

\n Code\n handleClipboard(code)}\n className=\"size-7 flex items-center justify-center p-1 rounded-full bg-[#1b1b1b] hover:bg-gray-800\"\n >\n \n Copy code\n \n

\n \n {code}\n \n

\n\n

\n Preview\n

\n \n \n \n

\n \n \n \n \n \n

\n {performance.tokensPerSecond.toFixed(2)} tokens\n

\n\n

\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n

\n {performance.totalTokens} token/s\n

\n\n

\n \n \n \n \n \n \n \n \n \n\n

\n {performance.time.toFixed(2)}s\n

\n \n )}\n\n \n \n );\n}\n\nconst valURL = import.meta.url.replace(\"esm\", \"val\").split(\"?\")[0];\n\nconst ValTownSVG = ({ color }: { color?: string } = { color: \"white\" }) => (\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n);\n\nconst CopyIcon = () => (\n \n \n \n \n \n \n \n \n \n \n);\n\nfunction client() {\n const path = window.location.pathname;\n const root = createRoot(document.getElementById(\"root\")!);\n\n root.render();\n}\n\nconst KEY = \"cerebras_coder2\";\nconst SCHEMA_VERSION = 5;\n\nif (typeof document !== \"undefined\") {\n client();\n} else {\n // Create tables for tracking generations\n const { sqlite } = await import(\"https://esm.town/v/stevekrouse/sqlite\");\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS ${KEY}_projects_${SCHEMA_VERSION} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n initial_prompt TEXT NOT NULL,\n created_at DATETIME DEFAULT CURRENT_TIMESTAMP\n )\n `);\n\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS ${KEY}_iterations_${SCHEMA_VERSION} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n project_id INTEGER NOT NULL,\n version_number INTEGER NOT NULL,\n prompt TEXT NOT NULL,\n code TEXT NOT NULL,\n created_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n FOREIGN KEY(project_id) REFERENCES ${KEY}_projects_${SCHEMA_VERSION}(id)\n )\n `);\n}\n\nfunction extractCodeFromFence(text: string): string {\n const htmlMatch = text.match(/```html\\n([\\s\\S]*?)\\n```/);\n return htmlMatch ? htmlMatch[1].trim() : text;\n}\n\nasync function generateCode(prompt: string, currentCode: string) {\n const starterPrompt = STARTER_PROMPTS.find(p => p.prompt === prompt);\n if (starterPrompt) {\n return {\n code: starterPrompt.code,\n time: starterPrompt.performance.time,\n totalTokens: starterPrompt.performance.totalTokens,\n };\n } else {\n const client = new Cerebras({ apiKey: Deno.env.get(\"CEREBRAS_API_KEY\") });\n const completion = await client.chat.completions.create({\n messages: [\n {\n role: \"system\",\n content: `You are an advanced AI coding assistant that generates websites. \n \n Include all necessary HTML, CSS, and JavaScript in a single complete HTML file.\n Avoid use of alert or input. Make yourself a modal if you need it.\n Unless otherwise specified, use Chakra UI. Be sure to install it via CDN.\n Make the app look like a polished, full website.\n Before coding, write your plan in a \\`\\`\\`thinking code fence. \n Always wrap your response in \\`\\`\\`html code fences.`,\n },\n currentCode\n ? {\n role: \"system\",\n content: `Current code to modify:\\n\\`\\`\\`html\\n${currentCode}\\n\\`\\`\\``,\n }\n : undefined,\n {\n role: \"user\",\n content: prompt,\n },\n ].filter(Boolean),\n model: \"llama-3.3-70b\",\n });\n return {\n code: extractCodeFromFence(completion.choices[0].message.content),\n time: completion.time_info.completion_time,\n totalTokens: completion.usage?.completion_tokens || 1,\n };\n }\n}\n\nexport default async function server(req: Request): Promise {\n // Dynamic import for SQLite to avoid client-side import\n const { sqlite } = await import(\"https://esm.town/v/stevekrouse/sqlite\");\n\n if (req.method === \"POST\") {\n let { prompt, currentCode, versionHistory, projectId } = await req.json();\n\n const { code, time, totalTokens } = await generateCode(prompt, currentCode);\n\n // If no version history exists, create a new project\n let versionNumber = 0;\n if (!projectId) {\n const projectResult = await sqlite.execute(\n `INSERT INTO ${KEY}_projects_${SCHEMA_VERSION} (initial_prompt) VALUES (?)`,\n [prompt],\n );\n projectId = projectResult.lastInsertRowid as unknown as number;\n } else {\n // get last version number for this project id\n const data = await sqlite.execute(\n `SELECT version_number FROM ${KEY}_iterations_${SCHEMA_VERSION}\n WHERE project_id = ? ORDER BY version_number DESC LIMIT 1`,\n [projectId],\n );\n const currentVersion = data.rows[0]?.version_number as unknown as number || 0;\n versionNumber = currentVersion + 1;\n }\n\n await sqlite.execute(\n `INSERT INTO ${KEY}_iterations_${SCHEMA_VERSION} \n (project_id, version_number, prompt, code) VALUES (?, ?, ?, ?)`,\n [projectId, versionNumber, prompt, code],\n );\n\n return new Response(\n JSON.stringify({\n code,\n projectId,\n versionNumber,\n performance: {\n tokensPerSecond: totalTokens / time,\n totalTokens,\n time,\n },\n }),\n {\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n }\n\n // output url in format /p/:project/v/:version\n const url = new URL(req.url);\n if (url.pathname.startsWith(\"/p/\")) {\n const [, , project, , version] = url.pathname.split(\"/\");\n let data;\n if (version === undefined) {\n data = await sqlite.execute(\n `SELECT code FROM cerebras_coder2_iterations_5\n WHERE project_id = ?\n ORDER BY version_number desc\n LIMIT 1`,\n [parseInt(project)],\n );\n } else {\n data = await sqlite.execute(\n `SELECT code FROM cerebras_coder2_iterations_5\n WHERE project_id = ? AND version_number = ?\n LIMIT 1`,\n [parseInt(project), parseInt(version)],\n );\n }\n const code = data.rows[0]?.code;\n if (!code) {\n return new Response(\"Not found\", { status: 404 });\n }\n return new Response(code as string, {\n headers: { \"Content-Type\": \"text/html\" },\n });\n }\n\n return new Response(\n `\n \n \n \n \n \n CerebrasCoder\n \n \n \n \n\n \n \n \n\n \n \n \n \n

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\n Dream it. Code it. \n Instantly.\n

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\n Pinned version (#{projectVersion})\n

\n Dream it. Code it. \n Instantly.\n

Share your project

Latest Version

\n Pinned version (#{projectVersion})\n

\n Dream it. Code it.
\n Instantly.\n

\n Pinned version (`#{projectVersion}`)\n

\n Dream it. Code it.
\n Instantly.\n

\n Pinned version (`#{projectVersion}`)\n

Diff · v189