CerebrasCoder Analytics

Total Generations

{stats.totalGenerations}

Total Versions

{stats.totalVersions}

Total Projects

{stats.totalProjects}

Popular Prompts

\n {prompt.prompt} ({prompt.count})\n

\n ← Back to Generator\n

\n );\n}\n\nfunction App() {\n const [prompt, setPrompt] = useState(\n STARTER_PROMPTS[Math.floor(Math.random() * STARTER_PROMPTS.length)],\n );\n const [code, setCode] = useState(\"\");\n const [loading, setLoading] = useState(false);\n const [performance, setPerformance] = useState<\n {\n tokensPerSecond: number;\n totalTokens: number;\n time: number;\n } | null\n >(null);\n\n const [versionHistory, setVersionHistory] = useState<{\n currentVersionIndex: number;\n versions: {\n code: string;\n prompt: string;\n timestamp: number;\n }[];\n }>({\n currentVersionIndex: -1,\n versions: [],\n });\n\n async function handleSubmit(e: React.FormEvent) {\n e.preventDefault();\n setLoading(true);\n\n try {\n const response = await fetch(\"/\", {\n method: \"POST\",\n body: JSON.stringify({\n prompt,\n currentCode: code,\n versionHistory,\n }),\n headers: { \"Content-Type\": \"application/json\" },\n });\n\n const result = await response.json();\n\n // Update version history\n const newVersionHistory = {\n currentVersionIndex: result.versionHistory.currentVersionIndex,\n versions: result.versionHistory.versions,\n };\n\n setCode(result.code);\n setPerformance(result.performance);\n setVersionHistory(newVersionHistory);\n } catch (error) {\n console.error(\"Error:\", error);\n } finally {\n setLoading(false);\n }\n }\n\n function handleVersionChange(direction: \"back\" | \"forward\") {\n const { currentVersionIndex, versions } = versionHistory;\n\n if (direction === \"back\" && currentVersionIndex > 0) {\n const newIndex = currentVersionIndex - 1;\n setCode(versions[newIndex].code);\n setPrompt(versions[newIndex].prompt);\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 setPrompt(versions[newIndex].prompt);\n setVersionHistory(prev => ({\n ...prev,\n currentVersionIndex: newIndex,\n }));\n }\n }\n\n return (\n

\n Powered by Llama 3.3 70b on Cerebras\n

Cerebras Coder

\n Turn your idea into an app in a literal second. Cerebras Coder generates full html pages at 2k tokens / s with\n a GPT-4 class LLM.\n

\n \n\n {performance && (\n

\n 🚀 {performance.tokensPerSecond.toFixed(2)} tokens/s\n 📊 {performance.totalTokens} tokens\n ⏱️ {performance.time.toFixed(2)}s\n

\n )}\n\n

Generated Code

\n \n {code}\n \n

\n\n

Preview

\n handleVersionChange(\"back\")}\n disabled={versionHistory.currentVersionIndex <= 0}\n className=\"px-2 py-1 text-sm bg-gray-700 text-gray-300 rounded hover:bg-gray-600 disabled:opacity-50 disabled:cursor-not-allowed\"\n >\n ← Prev\n \n handleVersionChange(\"forward\")}\n disabled={versionHistory.currentVersionIndex >= versionHistory.versions.length - 1}\n className=\"px-2 py-1 text-sm bg-gray-700 text-gray-300 rounded hover:bg-gray-600 disabled:opacity-50 disabled:cursor-not-allowed\"\n >\n Next →\n \n

\n {code\n ? (\n <>\n

\n Version: {versionHistory.currentVersionIndex + 1} / {versionHistory.versions.length}\n

\n\n \n \n )\n :

No preview available. Generate code to see the preview.

}\n

\n \n View Source\n \n

\n );\n}\n\nfunction client() {\n const path = window.location.pathname;\n const root = createRoot(document.getElementById(\"root\")!);\n\n if (path === \"/dashboard\") {\n root.render();\n } else {\n root.render();\n }\n}\n\nif (typeof document !== \"undefined\") {\n client();\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\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 const KEY = \"inspiringLavenderTakin\";\n const SCHEMA_VERSION = 5;\n\n // Create tables for tracking generations\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 if (req.method === \"GET\") {\n const url = new URL(req.url);\n\n if (url.pathname === \"/dashboard-stats\") {\n const totalGenerationsResult = await sqlite.execute(`\n SELECT COUNT(*) as total FROM ${KEY}_iterations_${SCHEMA_VERSION}\n `);\n\n const totalVersionsResult = await sqlite.execute(`\n SELECT COUNT(*) as total FROM ${KEY}_iterations_${SCHEMA_VERSION}\n `);\n\n const totalProjectsResult = await sqlite.execute(`\n SELECT COUNT(*) as total FROM ${KEY}_projects_${SCHEMA_VERSION}\n `);\n\n const popularPromptsResult = await sqlite.execute(`\n SELECT initial_prompt as prompt, COUNT(*) as count \n FROM ${KEY}_projects_${SCHEMA_VERSION} \n GROUP BY initial_prompt \n ORDER BY count DESC \n LIMIT 5\n `);\n\n const dailyGenerationsResult = await sqlite.execute(`\n SELECT \n date(created_at) as date, \n COUNT(*) as count \n FROM ${KEY}_iterations_${SCHEMA_VERSION} \n GROUP BY date \n ORDER BY date \n LIMIT 30\n `);\n\n const totalGenerations = totalGenerationsResult.rows[0]?.total || 0;\n const totalVersions = totalVersionsResult.rows[0]?.total || 0;\n const totalProjects = totalProjectsResult.rows[0]?.total || 0;\n const popularPrompts = popularPromptsResult.rows || [];\n const dailyGenerations = dailyGenerationsResult.rows || [];\n\n return new Response(\n JSON.stringify({\n totalGenerations,\n totalVersions,\n totalProjects,\n popularPrompts,\n dailyGenerations,\n }),\n { headers: { \"Content-Type\": \"application/json\" } },\n );\n }\n }\n\n if (req.method === \"POST\") {\n const client = new Cerebras();\n const { prompt, currentCode, versionHistory } = await req.json();\n\n const completion = await client.chat.completions.create({\n messages: [\n {\n role: \"system\",\n content:\n \"You are a helpful assistant that generates HTML, CSS and JavaScript code. Always wrap your response in ```html code fences. Include all necessary HTML, CSS, and JavaScript in a single complete HTML file.\",\n },\n {\n role: \"system\",\n content: currentCode\n ? `Current code to modify:\\n\\`\\`\\`html\\n${currentCode}\\n\\`\\`\\``\n : \"No existing code to modify.\",\n },\n {\n role: \"user\",\n content: prompt,\n },\n ],\n model: \"llama-3.3-70b\",\n });\n\n const timeInSeconds = completion.time_info.completion_time;\n const totalTokens = completion.usage?.completion_tokens || 0;\n\n const code = extractCodeFromFence(completion.choices[0].message.content);\n\n // Manage version history and update SQLite\n let projectId: number;\n let newVersionHistory = { ...versionHistory };\n\n // If no version history exists, create a new project\n if (versionHistory.currentVersionIndex === -1) {\n const projectResult = await sqlite.execute(\n `INSERT INTO ${KEY}_projects_${SCHEMA_VERSION} (initial_prompt) VALUES (?)`,\n [prompt],\n );\n projectId = projectResult.lastInsertRowid as number;\n\n newVersionHistory = {\n currentVersionIndex: 0,\n versions: [{\n code,\n prompt,\n timestamp: Date.now(),\n }],\n };\n\n // Insert first iteration\n await sqlite.execute(\n `INSERT INTO ${KEY}_iterations_${SCHEMA_VERSION} \n (project_id, version_number, prompt, code) VALUES (?, ?, ?, ?)`,\n [projectId, 0, prompt, code],\n );\n } else {\n // Use existing project, add new iteration\n const lastProjectResult = await sqlite.execute(\n `SELECT id FROM ${KEY}_projects_${SCHEMA_VERSION} \n ORDER BY created_at DESC LIMIT 1`,\n );\n projectId = lastProjectResult.rows[0]?.id;\n\n const newVersionIndex = versionHistory.currentVersionIndex + 1;\n\n newVersionHistory = {\n currentVersionIndex: newVersionIndex,\n versions: [\n ...versionHistory.versions.slice(0, newVersionIndex),\n { code, prompt, timestamp: Date.now() },\n ],\n };\n\n // Insert new iteration\n await sqlite.execute(\n `INSERT INTO ${KEY}_iterations_${SCHEMA_VERSION} \n (project_id, version_number, prompt, code) VALUES (?, ?, ?, ?)`,\n [projectId, newVersionIndex, prompt, code],\n );\n }\n\n return new Response(\n JSON.stringify({\n code,\n performance: {\n tokensPerSecond: totalTokens / timeInSeconds,\n totalTokens,\n time: timeInSeconds,\n },\n versionHistory: newVersionHistory,\n }),\n {\n headers: { \"Content-Type\": \"application/json\" },\n },\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 headers: { \"Content-Type\": \"text/html\" },\n },\n );\n}",[],[168],"files",[148,166],"counts",{"_178":33,"_179":138,"_180":33,"_181":33},"pulls","branches","forks","envVars","contents",[],{"_107":149,"_99":103,"_150":151,"_152":-5,"_153":139,"_154":138,"_155":113,"_109":185,"_104":33,"_157":158,"_159":160,"_161":27,"_162":-5,"_102":186},["D",1734212381482],[103],"upstream",{"_107":189,"_99":190,"_116":191,"_117":-5,"_114":115,"_21":192},"5ff6edf2-1adf-11f0-8160-569c3dd06744","cerebras_coder","An AI code assistant powered by Cerebras inference",{"_97":98,"_134":135},"screenshots","emptyEnvVars","routes/_app.x.$handle.$name.code.$",{"_97":98,"_99":100,"_101":43,"_104":-7,"_102":103,"_105":197,"_146":201,"_174":208,"_158":209,"_182":211,"_187":212,"_221":113,"_222":-5},{"_107":108,"_99":100,"_109":198,"_111":-5,"_112":113,"_114":115,"_116":-5,"_117":-5,"_12":118,"_119":120,"_121":113,"_122":-5,"_123":33,"_124":125,"_126":125,"_127":128,"_129":128,"_130":128,"_131":125,"_132":27,"_21":199,"_136":200},["D",1745962183520],{"_97":98,"_134":135},{"_104":138,"_99":43,"_107":139,"_140":108,"_141":142,"_143":33,"_144":115,"_145":118},[202,205],{"_107":149,"_99":103,"_150":151,"_152":-5,"_153":139,"_154":138,"_155":113,"_109":156,"_104":33,"_157":158,"_159":160,"_161":27,"_162":-5,"_163":203,"_102":204},[],[103],{"_107":167,"_99":168,"_150":120,"_152":-5,"_153":139,"_154":138,"_155":113,"_109":169,"_104":33,"_157":170,"_159":171,"_161":27,"_162":-5,"_163":206,"_102":207},[],[168],[202,205],{"_107":149,"_99":103,"_150":151,"_152":-5,"_153":139,"_154":138,"_155":113,"_109":185,"_104":33,"_157":158,"_159":160,"_161":27,"_162":-5,"_102":210},[103],[],{"_107":142,"_109":213,"_214":215,"_99":43,"_140":189,"_104":216,"_141":-5,"_143":-5,"_217":218,"_132":27,"_114":115,"_219":98,"_220":190},["D",1744820713851],"updatedAt",["D",1744821142038],265,"lockfileKey","1744821249485-esm.town_v_stevekrouse_cerebras_coder@265-main","userHandle","projectName","showCompareCallout","pull","routes/_app","actionData","errors"]

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