[{"_1":2,"_189":-5,"_190":-5},"loaderData",{"_3":4,"_95":96,"_115":116,"_188":-5},"root",{"_5":6,"_34":35,"_62":63,"_93":94},"ctx",{"_7":8,"_19":20,"_21":-5,"_22":23,"_24":25,"_26":27,"_28":27,"_29":27,"_30":31,"_32":33},"auth",{"_9":-5,"_10":-5,"_11":-5,"_12":-5,"_13":-5,"_14":-5,"_15":-5,"_16":-5,"_17":-5,"_18":-5},"sessionClaims","sessionId","sessionStatus","userId","actor","orgId","orgRole","orgSlug","orgPermissions","factorVerificationAge","environmentVariableKeys",[],"user","preferences_keybindings","default","preferences_theme","light","preferences_fixers",false,"preferences_copilot","preferences_selection_ai","preferences_model","claude-3-5-haiku-20241022","notification_count",0,"ENV",{"_36":37,"_38":39,"_40":41,"_42":43,"_44":45,"_46":47,"_48":49,"_50":51,"_52":53,"_54":55,"_56":57,"_58":59,"_60":61},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","VAL_RUNTIME_NAME","prod","RENDER_GIT_COMMIT","6883b28115456ac060b0bde8ab874eb6b95e739a","RENDER_GIT_BRANCH","main","CLERK_PUBLISHABLE_KEY","pk_live_Y2xlcmsudmFsLnRvd24k","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","API_URL","https://api.val.town","WORKER_FINGERPRINT","fd7e47ba602df66e0f857b45e802b861","clerkState",{"_64":65},"__internal_clerk_state",{"_66":67,"_68":45,"_69":70,"_71":70,"_72":27,"_73":70,"_74":70,"_75":70,"_76":70,"_77":70,"_78":70,"_79":70,"_80":70,"_81":82,"_91":27,"_92":27},"__clerk_ssr_state",{"_9":-5,"_10":-5,"_11":-5,"_12":-5,"_13":-5,"_14":-5,"_15":-5,"_16":-5,"_17":-5,"_18":-5},"__publishableKey","__proxyUrl","","__domain","__isSatellite","__signInUrl","__signUpUrl","__afterSignInUrl","__afterSignUpUrl","__signInForceRedirectUrl","__signUpForceRedirectUrl","__signInFallbackRedirectUrl","__signUpFallbackRedirectUrl","__clerk_debug",{"_83":27,"_84":70,"_85":86,"_87":70,"_88":45,"_89":27,"_90":70},"isSignedIn","proxyUrl","reason","session-token-and-uat-missing","message","publishableKey","isSatellite","domain","__telemetryDisabled","__telemetryDebug","remixVersion",2,"routes/_app.u.$handle",{"_21":97,"_107":108,"_109":27,"_110":33,"_111":33,"_112":94,"_113":33,"_114":94},{"_98":99,"_100":101,"_102":103,"_104":-5,"_105":106},"id","c3c1c15b-ae5f-4042-8852-32de7e0c5054","handle","pashis","createdAt",["D",1735620496986],"bio","profileImageUrl","https://img.clerk.com/eyJ0eXBlIjoiZGVmYXVsdCIsImlpZCI6Imluc18yTm10cGhQUklwU0tqZHNiOHNnNGd2ZjJURFUiLCJyaWQiOiJ1c2VyXzJxeTJTZ2k1Qks5T3V3dzZWT21YeFpvVEtGayJ9","links",[],"isOwned","valCount","likeCount","forkCount","folderCount","projectCount","routes/_app.u.$handle.forks",{"_21":117,"_119":33,"_120":121,"_187":27,"_112":94},{"_98":99,"_100":101,"_102":118,"_104":-5,"_105":106},["D",1735620496986],"page","forks",[122,169],{"_123":124,"_125":126},"valNameId","6fe10ca6-c734-11ef-8087-e6cdfca9ef9f","initialData",{"_127":128,"_129":99,"_123":124,"_130":-5,"_109":-5,"_131":132,"_133":70,"_134":135,"_136":137,"_138":27,"_98":137,"_139":140,"_102":141,"_142":33,"_143":27,"_111":33,"_144":33,"_145":33,"_146":33,"_112":33,"_147":33,"_148":-5,"_21":149,"_150":151,"_157":-7,"_158":159,"_160":-5,"_161":162,"_163":164},"name","STARTER_PROMPTS","author","parentFolderId","privacy","public","readme","valType","script","currentVersion","7007cdb4-c734-11ef-8087-e6cdfca9ef9f","legacyPrivate","code","export const STARTER_PROMPTS = [\n {\n prompt: \"todo list app persisted in local storage, pretty\",\n title: \"Todo App\",\n code:\n \"\\n\\n\\n \\n \\n Task Master\\n \\n\\n\\n

\\n

Task Master

\\n Manage your tasks efficiently\\n

\\n

\\n \\n \\n

\\n

\\n Built on Cerebras Coder\\n

\\n

\\n\\n \\n\\n\",\n performance: {\n tokensPerSecond: 2298.56,\n totalTokens: 1032,\n time: 0.45,\n },\n },\n {\n prompt: \"weather dashboard for nyc using open-meteo API for NYC with icons\",\n title: \"Weather App\",\n code:\n \"\\n\\n\\n \\n \\n NYC Weather\\n \\n \\n\\n\\n

\\n

NYC Weather

\\n

Humidity: %

\\n

Wind: mph

\\n \\n

\\n

\\n Built on Cerebras Coder\\n

\\n\\n \\n\\n\",\n performance: {\n tokensPerSecond: 3411.28,\n totalTokens: 2172,\n time: 0.64,\n },\n },\n {\n prompt: \"two column interactive markdown editor with live preview and default text to explain markdown features\",\n title: \"Markdown Editor\",\n code:\n \"\\n\\n\\n \\n \\n \\n Markdown Editor\\n \\n\\n\\n

\\n

Markdown Editor

\\n

\\n \\n

\\n

Built on Cerebras Coder

\\n

\\n\\n \\n\\n\",\n performance: {\n tokensPerSecond: 4092.96,\n totalTokens: 1677,\n time: 0.41,\n },\n },\n];",["D",1735621350078],"version","currentUserHasLiked","referenceCount","dependencyCount","commentCount","prCount","mergedPr",{"_100":101,"_105":106},"forkedVal",{"_98":152,"_100":153,"_127":154,"_142":155,"_156":-5},"869333f4-bd46-11ef-9697-e6cdfca9ef9f","stevekrouse","cerebras_coder_prompts",17,"prDisabledHint","interval","description","An interactive, runnable TypeScript val by pashis","latestEvaluation","slug","pashis/STARTER_PROMPTS","versions",[165],{"_102":166,"_142":33,"_167":168},["D",1735621350078],"n","1",{"_123":170,"_125":171},"0d8f12dc-c734-11ef-aae5-e6cdfca9ef9f",{"_127":172,"_129":99,"_123":170,"_130":-5,"_109":-5,"_131":132,"_133":173,"_134":174,"_136":175,"_138":27,"_98":175,"_139":176,"_102":177,"_142":33,"_143":27,"_111":33,"_144":33,"_145":94,"_146":33,"_112":33,"_147":33,"_148":-5,"_21":178,"_150":179,"_157":-7,"_158":182,"_160":-5,"_161":183,"_163":184},"cerebras_coder","This is an AI code assistant powered by [Cerebras](https://cerebras.ai/inference), running llama3.3-70b.\n\nInspired by Hassan's [Llama Coder](https://llamacoder.together.ai/).\n\n# Setup\n\n1. Sign up for [Cerebras](https://cloud.cerebras.ai/)\n2. Get a Cerebras API Key\n3. Save it in a [Val Town environment variable](https://www.val.town/settings/environment-variables) called `CEREBRAS_API_KEY`\n\n# Todos\n\nI'm looking for collaborators to help. Fork & send me PRs!\n\n- [ ] Experiment with [two prompt chain](https://x.com/nutlope/status/1866856980033479020) (started [here](https://www.val.town/v/stevekrouse/neatBlackSwift))","http","0da1a7da-c734-11ef-aae5-e6cdfca9ef9f","/** @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 \"https://esm.town/v/stevekrouse/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 const inIframe = window.self !== window.top;\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 const inIframe = window.self !== window.top;\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: \"We may have hit our Cerebras Usage limits. Try again later or fork this and use your own API key.\",\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 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 a UI libray. Be sure to install it via CDN.\n Make the app look like a polished, pretty, full website.\n Before coding, write your plan in a \\`\\`\\`thinking code fence. \n Wrap your code in a single \\`\\`\\`html code fence.\n Do NOT explain how your code works or how to run.\n Keep the chatter to an absolute minimum.`,\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 cerebras_coder(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

\n \n \n \n \n `,\n {\n headers: { \"Content-Type\": \"text/html\" },\n },\n );\n}",["D",1735621185124],{"_100":101,"_105":106},{"_98":180,"_100":153,"_127":172,"_142":181,"_156":-5},"7c7483ba-bd72-11ef-8e0d-e6cdfca9ef9f",200,"This is an AI code assistant powered by Cerebras , running llama3.3-70b. Inspired by Hassan's Llama Coder . Setup Sign up for Cerebras Get a Cerebras API Key Save it in a Val Town environment variable called CEREBRAS_API_KEY Todos I'm looking for collaborators to help. Fork & send me PRs! [ ] Experiment with two prompt chain (started here )","pashis/cerebras_coder",[185],{"_102":186,"_142":33,"_167":168},["D",1735621185124],"hasNext","routes/_app","actionData","errors"]

Task Master

NYC Weather

Markdown Editor

\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