🤖 AI Assistant

\n {messages\n .filter(msg => msg.role !== \"system\")\n .map((msg, index) => (\n \n {msg.content}\n

\n ))}\n {isLoading &&

🌀 Thinking...

}\n

\n setInput(e.target.value)}\n placeholder=\"Ask me anything...\"\n disabled={isLoading}\n maxLength={500}\n />\n \n \n Source: Tanveer\n >\n ❤️ᴹᴿ᭄Ƭɑղѵҽҽɾ❤️\n \n \n );\n}\n\nfunction client() {\n createRoot(document.getElementById(\"root\")).render();\n}\nif (typeof document !== \"undefined\") { client(); }\n\nexport default async function server(request: Request): Promise {\n if (request.method === \"POST\" && new URL(request.url).pathname === \"/chat\") {\n const { OpenAI } = await import(\"https://esm.town/v/std/openai\");\n const openai = new OpenAI();\n\n const { messages } = await request.json();\n\n try {\n const completion = await openai.chat.completions.create({\n messages: messages,\n model: \"gpt-4o-mini\",\n max_tokens: 300,\n });\n\n return new Response(\n JSON.stringify({\n message: completion.choices[0].message.content,\n }),\n {\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n } catch (error) {\n return new Response(\n JSON.stringify({\n error: \"Failed to generate response\",\n }),\n {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n }\n }\n\n return new Response(\n `\n \n \n AI Assistant\n \n \n \n \n

\n \n \n \n \n `,\n {\n headers: { \"Content-Type\": \"text/html\" },\n },\n );\n}\n\nconst css = `\nbody {\n font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif;\n max-width: 600px;\n margin: 0 auto;\n padding: 20px;\n background-color: #f4f4f4;\n}\n\n.ai-assistant {\n background: white;\n border-radius: 10px;\n box-shadow: 0 4px 6px rgba(0,0,0,0.1);\n padding: 20px;\n}\n\n.chat-window {\n height: 400px;\n overflow-y: auto;\n border: 1px solid #e0e0e0;\n margin-bottom: 15px;\n padding: 10px;\n}\n\n.message {\n margin-bottom: 10px;\n padding: 10px;\n border-radius: 5px;\n}\n\n.message.user {\n background-color: #e6f2ff;\n text-align: right;\n}\n\n.message.assistant {\n background-color: #f0f0f0;\n text-align: left;\n}\n\nform {\n display: flex;\n}\n\ninput {\n flex-grow: 1;\n padding: 10px;\n border: 1px solid #ddd;\n border-radius: 4px;\n margin-right: 10px;\n}\n\nbutton {\n padding: 10px 15px;\n background-color: #007bff;\n color: white;\n border: none;\n border-radius: 4px;\n cursor: pointer;\n}\n\nbutton:disabled {\n background-color: #cccccc;\n cursor: not-allowed;\n}\n\n.loading {\n text-align: center;\n color: #666;\n}\n\n.source-link {\n display: block;\n text-align: center;\n margin-top: 10px;\n color: #666;\n text-decoration: none;\n font-size: 0.8em;\n}\n`;",["D",1739388040431],"version","currentUserHasLiked","referenceCount","dependencyCount","commentCount","prCount","mergedPr",{"_96":97,"_101":102},"forkedVal",{"_94":152,"_96":97,"_126":153,"_142":31,"_154":-5},"700ed988-e976-11ef-9302-e6cdfca9ef9f","luxuriousTanAnaconda","prDisabledHint","interval","description","latestEvaluation","slug","Tanveer/systematicFuchsiaTahr","versions",[162],{"_98":163,"_142":31,"_164":165},["D",1739388040431],"n","1",{"_122":167,"_124":168},"700b2a36-e976-11ef-9302-e6cdfca9ef9f",{"_126":153,"_128":95,"_122":167,"_129":-5,"_105":-5,"_130":131,"_132":133,"_134":135,"_136":152,"_138":26,"_94":152,"_139":140,"_98":169,"_142":31,"_143":26,"_108":31,"_144":31,"_145":107,"_146":31,"_109":107,"_147":31,"_148":-5,"_20":170,"_150":171,"_155":-7,"_156":133,"_157":-5,"_158":174,"_160":175},["D",1739388036683],{"_96":97,"_101":102},{"_94":172,"_96":97,"_126":173,"_142":31,"_154":-5},"1df3300e-e976-11ef-af92-e6cdfca9ef9f","terrificRoseDolphin","Tanveer/luxuriousTanAnaconda",[176],{"_98":177,"_142":31,"_164":165},["D",1739388036683],{"_122":179,"_124":180},"1df10360-e976-11ef-af92-e6cdfca9ef9f",{"_126":173,"_128":95,"_122":179,"_129":-5,"_105":-5,"_130":131,"_132":133,"_134":135,"_136":172,"_138":26,"_94":172,"_139":140,"_98":181,"_142":31,"_143":26,"_108":31,"_144":31,"_145":107,"_146":31,"_109":107,"_147":31,"_148":-5,"_20":182,"_150":183,"_155":-7,"_156":133,"_157":-5,"_158":186,"_160":187},["D",1739387898944],{"_96":97,"_101":102},{"_94":184,"_96":97,"_126":185,"_142":31,"_154":-5},"08faced2-e976-11ef-af92-e6cdfca9ef9f","festiveRosePeacock","Tanveer/terrificRoseDolphin",[188],{"_98":189,"_142":31,"_164":165},["D",1739387898944],{"_122":191,"_124":192},"08f83b72-e976-11ef-af92-e6cdfca9ef9f",{"_126":185,"_128":95,"_122":191,"_129":-5,"_105":-5,"_130":131,"_132":133,"_134":135,"_136":184,"_138":26,"_94":184,"_139":140,"_98":193,"_142":31,"_143":26,"_108":31,"_144":31,"_145":107,"_146":31,"_109":107,"_147":31,"_148":-5,"_20":194,"_150":195,"_155":-7,"_156":133,"_157":-5,"_158":199,"_160":200},["D",1739387863759],{"_96":97,"_101":102},{"_94":196,"_96":97,"_126":197,"_142":198,"_154":-5},"f09abdca-e975-11ef-801c-e6cdfca9ef9f","Tanveer_AI_Assistant_App",65,"Tanveer/festiveRosePeacock",[201],{"_98":202,"_142":31,"_164":165},["D",1739387863759],{"_122":204,"_124":205},"86a60db0-e93a-11ef-a8d1-e6cdfca9ef9f",{"_126":206,"_128":95,"_122":204,"_129":-5,"_105":-5,"_130":131,"_132":133,"_134":135,"_136":207,"_138":26,"_94":207,"_139":208,"_98":209,"_142":31,"_143":26,"_108":31,"_144":31,"_145":107,"_146":31,"_109":31,"_147":31,"_148":-5,"_20":210,"_150":211,"_155":-7,"_156":133,"_157":-5,"_158":214,"_160":215},"admirableWhiteBird","86a8d180-e93a-11ef-a8d1-e6cdfca9ef9f","/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport { createRoot } from \"https://esm.sh/react-dom@18.2.0/client\";\nimport React, { useEffect, useState } from \"https://esm.sh/react@18.2.0\";\n\nfunction App() {\n const [messages, setMessages] = useState([\n {\n role: \"system\",\n content:\n \"You are an advanced AI assistant designed to help users with a wide range of tasks, from problem-solving to creative brainstorming. Be helpful, direct, and adaptable.\",\n },\n {\n role: \"assistant\",\n content: \"👋 Hi there! I'm your AI assistant. How can I help you today? Feel free to ask me anything!\",\n },\n ]);\n const [input, setInput] = useState(\"\");\n const [isLoading, setIsLoading] = useState(false);\n\n const handleSubmit = async (e: React.FormEvent) => {\n e.preventDefault();\n if (!input.trim()) return;\n\n // Limit input length to prevent excessive requests\n if (input.length > 500) {\n setMessages(prev => [...prev, {\n role: \"assistant\",\n content: \"🚫 Message too long. Please keep your input under 500 characters.\",\n }]);\n setInput(\"\");\n return;\n }\n\n const newMessages = [...messages, { role: \"user\", content: input }];\n setMessages(newMessages);\n setInput(\"\");\n setIsLoading(true);\n\n try {\n const response = await fetch(\"/chat\", {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({ messages: newMessages }),\n });\n\n if (!response.ok) {\n throw new Error(\"Network response was not ok\");\n }\n\n const data = await response.json();\n setMessages(prev => [...prev, { role: \"assistant\", content: data.message }]);\n } catch (error) {\n console.error(\"Error:\", error);\n setMessages(prev => [...prev, {\n role: \"assistant\",\n content: \"🤖 Sorry, there was an error processing your request. Please try again.\",\n }]);\n } finally {\n setIsLoading(false);\n }\n };\n\n return (\n

🤖 AI Assistant

\n {messages\n .filter(msg => msg.role !== \"system\")\n .map((msg, index) => (\n \n {msg.content}\n

\n ))}\n {isLoading &&

🌀 Thinking...

}\n

\n setInput(e.target.value)}\n placeholder=\"Ask me anything...\"\n disabled={isLoading}\n maxLength={500}\n />\n \n \n \n View Source\n \n \n );\n}\n\nfunction client() {\n createRoot(document.getElementById(\"root\")).render();\n}\nif (typeof document !== \"undefined\") { client(); }\n\nexport default async function server(request: Request): Promise {\n if (request.method === \"POST\" && new URL(request.url).pathname === \"/chat\") {\n const { OpenAI } = await import(\"https://esm.town/v/std/openai\");\n const openai = new OpenAI();\n\n const { messages } = await request.json();\n\n try {\n const completion = await openai.chat.completions.create({\n messages: messages,\n model: \"gpt-4o-mini\",\n max_tokens: 300,\n });\n\n return new Response(\n JSON.stringify({\n message: completion.choices[0].message.content,\n }),\n {\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n } catch (error) {\n return new Response(\n JSON.stringify({\n error: \"Failed to generate response\",\n }),\n {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n }\n }\n\n return new Response(\n `\n \n \n AI Assistant\n \n \n \n \n