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\n Web Page Summarizer\n

\n\n

Enter a url for a webpage you would like to summarize to continue

\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 === \"/summarize\") {\n try {\n const { url } = await request.json();\n\n // Fetch webpage content\n const webpageResponse = await fetch(url);\n const webpageText = await webpageResponse.text();\n\n // Use OpenAI as Claude proxy\n const { OpenAI } = await import(\"https://esm.town/v/std/openai\");\n const openai = new OpenAI();\n\n const completion = await openai.chat.completions.create({\n messages: [\n {\n role: \"system\",\n content: \"You are a helpful assistant that summarizes web page content concisely.\",\n },\n {\n role: \"user\",\n content:\n `Please provide a concise summary of the following webpage content (limit to 300 words):\\n\\n${webpageText}`,\n },\n ],\n model: \"gpt-4o-mini\",\n max_tokens: 300,\n });\n\n const summary = completion.choices[0].message.content || \"Unable to generate summary.\";\n\n return new Response(JSON.stringify({ summary }), {\n headers: { \"Content-Type\": \"application/json\" },\n });\n } catch (error) {\n return new Response(\n JSON.stringify({\n summary: `Error summarizing webpage: ${error instanceof Error ? error.message : \"Unknown error\"}`,\n }),\n {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n }\n }\n\n return new Response(\n `\n \n \n Web Page Summarizer\n \n \n \n \n

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\n Web Page Summarizer\n

Example URLs:

Summary: