Calendar Event Extractor

\n setFileContext(e.target.value)} \n placeholder=\"Enter context for the PDF (e.g., 'Work Schedule', 'Class Timetable')\" />\n \n

\n {isLoading &&

Processing PDF and extracting events...

}\n {hasEvents && }\n

\n \n

\n \n View Source\n \n

\n );\n}\n\nfunction client() {\n createRoot(document.getElementById(\"root\")).render();\n}\n\nif (typeof document !== \"undefined\") { client(); }\n\nasync function server(request: Request): Promise {\n const { OpenAI } = await import(\"https://esm.town/v/std/openai\");\n const pdfExtractText = await import(\"https://esm.town/v/pdebieamzn/pdfExtractText\");\n\n if (request.method === 'POST' && new URL(request.url).pathname === '/upload') {\n const formData = await request.formData();\n const pdfFile = formData.get('pdf') as File;\n const context = formData.get('context') as string;\n \n if (!pdfFile) {\n return new Response('No file uploaded', { status: 400 });\n }\n\n const arrayBuffer = await pdfFile.arrayBuffer();\n const fullText = await pdfExtractText.default(arrayBuffer);\n\n const openai = new OpenAI();\n const completion = await openai.chat.completions.create({\n messages: [\n { role: \"system\", content: \"You are a helpful assistant that extracts event information from text. Extract events with their titles, start times, and end times. Format the response as a valid JSON array of objects with 'title', 'start', and 'end' properties. Use ISO 8601 format for dates. Do not include any explanatory text outside the JSON array. Do not use markdown code fences or JSON labels. Consider the provided context when extracting events.\" },\n { role: \"user\", content: `Context: ${context}\\n\\nPDF Content: ${fullText}` },\n ],\n model: \"gpt-4-mini\",\n });\n\n let events;\n try {\n let content = completion.choices[0].message.content.trim();\n // Remove markdown code fences if present\n if (content.startsWith('```') && content.endsWith('```')) {\n content = content.slice(3, -3).trim();\n }\n // Remove \"json\" label if present\n if (content.startsWith('json')) {\n content = content.slice(4).trim();\n }\n events = JSON.parse(content);\n } catch (error) {\n console.error('Error parsing OpenAI response:', error);\n console.log('Raw response:', completion.choices[0].message.content);\n return new Response(JSON.stringify({ error: 'Error processing events' }), { status: 500, headers: { 'Content-Type': 'application/json' } });\n }\n\n if (!Array.isArray(events)) {\n console.error('Unexpected response format from OpenAI');\n return new Response(JSON.stringify({ error: 'Unexpected response format' }), { status: 500, headers: { 'Content-Type': 'application/json' } });\n }\n\n return new Response(JSON.stringify(events), {\n headers: { 'Content-Type': 'application/json' },\n });\n }\n\n return new Response(`\n \n \n Calendar Event Extractor\n \n \n \n \n

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Code