🐍 Python Code to PowerPoint Converter

\n setPythonCode(e.target.value)}\n placeholder=\"Paste your Python code here...\n\nExample:\ndef measure_room(length, width):\n area = length * width\n perimeter = 2 * (length + width)\n return area, perimeter\n\n# Get room dimensions\nlength = float(input('Enter room length (m): '))\nwidth = float(input('Enter room width (m): '))\n\n# Calculate room metrics\nroom_area, room_perimeter = measure_room(length, width)\n\n# Display results\nprint(f'Room Dimensions:')\nprint(f'Length: {length} m')\nprint(f'Width: {width} m')\nprint(f'Area: {room_area} square meters')\nprint(f'Perimeter: {room_perimeter} meters')\"\n style={{\n width: \"100%\",\n height: \"200px\",\n marginBottom: \"10px\",\n fontFamily: \"monospace\",\n }}\n />\n \n {isLoading ? \"Generating...\" : \"Generate Presentation\"}\n \n\n {error && (\n \n Error: {error}\n \n )}\n\n {presentation && (\n \n

Presentation Generated ✨

\n\n \n \n \n Download Presentation\n \n \n {copyStatus}\n \n \n\n \n

📝 Convert to PPTX

Copy the link using the \"Copy Link\" button
\n Visit{\" \"}\n \n NotePPT.io\n \n
Paste the copied link in the import section

\n \n\n \n

Presentation Analysis

\n \n {presentation.analysis}\n \n \n \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 === \"/generate-ppt\") {\n const { OpenAI } = await import(\"https://esm.town/v/std/openai\");\n const { blob } = await import(\"https://esm.town/v/std/blob\");\n const openai = new OpenAI();\n\n try {\n const { code } = await request.json();\n\n // Validate input\n if (!code || code.trim().length === 0) {\n return new Response(\n JSON.stringify({\n error: \"Please provide a valid Python code snippet\",\n }),\n {\n status: 400,\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n }\n\n // Use OpenAI to analyze the code and generate slide structure\n let slidesData;\n try {\n const analysis = await openai.chat.completions.create({\n model: \"gpt-4o-mini\",\n messages: [\n {\n role: \"system\",\n content: \"You are an expert at breaking down Python code into a structured presentation. Provide a detailed breakdown in a strict JSON format.\",\n },\n {\n role: \"user\",\n content: `Analyze this Python code and create a structured presentation:\n\n${code}\n\nRespond with a JSON array of slide objects. Each object must have 'title' and 'content' keys:\n[\n {\"title\": \"Code Overview\", \"content\": \"Brief description of the code's purpose\"},\n {\"title\": \"Key Components\", \"content\": \"Main functions and their roles\"},\n {\"title\": \"Implementation Details\", \"content\": \"How the code works\"},\n {\"title\": \"Example Output\", \"content\": \"Potential results or use cases\"},\n {\"title\": \"Conclusion\", \"content\": \"Summary of the code's significance\"}\n]`\n }\n ],\n response_format: { type: \"json_object\" },\n max_tokens: 1000,\n });\n\n slidesData = JSON.parse(analysis.choices[0].message.content);\n } catch (aiError) {\n console.error(\"AI Analysis Error:\", aiError);\n // Fallback slides if AI analysis fails\n slidesData = [\n {\n title: \"Code Overview\",\n content: \"Automatic analysis could not be generated\"\n },\n {\n title: \"Full Code\",\n content: code\n }\n ];\n }\n\n // Generate presentation content\n const presentationContent = slidesData.map(slide => \n `${slide.title}\\n${slide.content}\\n\\n`\n ).join('') + `\\n\\nFull Python Code:\\n${code}`;\n\n // Store the presentation in blob storage\n const presentationKey = `python_presentation_${Date.now()}.txt`;\n await blob.set(presentationKey, new TextEncoder().encode(presentationContent));\n\n return new Response(JSON.stringify({\n downloadUrl: `/blob/${presentationKey}`,\n analysis: JSON.stringify(slidesData, null, 2)\n }), {\n headers: { 'Content-Type': 'application/json' }\n });\n\n } catch (error) {\n console.error('Presentation generation error:', error);\n\n // Create fallback presentation\n const fallbackKey = `fallback_presentation_${Date.now()}.txt`;\n const fallbackContent = `Error Generating Presentation\\n\\nOriginal Code:\\n${code}`;\n \n await blob.set(fallbackKey, new TextEncoder().encode(fallbackContent));\n\n return new Response(JSON.stringify({\n downloadUrl: `/blob/${fallbackKey}`,\n error: error.message,\n analysis: \"Fallback presentation generated due to error\"\n }), {\n status: 500,\n headers: { 'Content-Type': 'application/json' }\n });\n }\n }\n\n return new Response(\n `\n \n \n Python Code Presenter\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: system-ui, sans-serif;\n line-height: 1.6;\n background-color: #f4f4f4;\n margin: 0;\n padding: 20px;\n}\npre {\n background-color: #f0f0f0;\n padding: 10px;\n border-radius: 5px;\n overflow-x: auto;\n}\na {\n color: #2196F3;\n text-decoration: none;\n}\na:hover {\n text-decoration: underline;\n}\n`;","deleted","label",[98],"permalink","https://www.val.town/x/hadlcandl/pythonToPPTApp/code/main.tsx","extension","actionData","errors"]