🔍 DeepSweek AI Analyzer

\n setText(e.target.value)}\n placeholder=\"Paste your text here for AI analysis...\"\n style={{\n width: \"100%\",\n height: \"200px\",\n marginBottom: \"10px\",\n }}\n />\n \n {loading ? \"Analyzing...\" : \"Generate Insights\"}\n \n {insights && (\n \n

🚀 AI Insights

{insights}

\n \n )}\n \n \n View Source\n \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 === \"/analyze\") {\n const { OpenAI } = await import(\"https://esm.town/v/std/openai\");\n const openai = new OpenAI();\n\n const { text } = await request.json();\n\n const completion = await openai.chat.completions.create({\n messages: [\n {\n role: \"system\",\n content:\n \"You are an expert text analyzer. Provide concise, insightful observations about the text, highlighting key themes, potential implications, and unique perspectives.\",\n },\n {\n role: \"user\",\n content: `Analyze the following text and provide deep insights:\\n\\n${text}`,\n },\n ],\n model: \"gpt-4o-mini\",\n max_tokens: 300,\n });\n\n return new Response(\n JSON.stringify({\n insights: completion.choices[0].message.content || \"No insights generated\",\n }),\n {\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n }\n\n return new Response(\n `\n \n \n DeepSweek AI Analyzer\n \n \n \n

\n \n \n \n \n `,\n {\n headers: { \"Content-Type\": \"text/html\" },\n },\n );\n}","deleted","label",[98],"permalink","https://www.val.town/x/Priyansh/deepsweekAITool/code/main.tsx","extension","actionData","errors"]