+ "text": "Let me create this SQL query builder web app.\n\n---domain---\nsqlgenius.scroll.pub\n\n---index.scroll---\nbuildHtml\nbaseUrl https://sqlgenius.scroll.pub\nmetaTags\neditButton /edit.html\ntitle SQL Query Builder with AI\nstyle.css\nbody.html\nscript.js\n\n---body.html---\n\n
`,\n // Add more transformation configs as needed\n };\n return configs[type] || '';\n }\n\n copyQueryBtn.addEventListener('click', () => {\n const sqlOutput = document.getElementById('sql-output');\n navigator.clipboard.writeText(sqlOutput.textContent)\n .then(() => {\n copyQueryBtn.textContent = 'Copied!';\n setTimeout(() => {\n copyQueryBtn.textContent = 'Copy Query';\n }, 2000);\n });\n });\n});\n\n---end---\n\nThis implementation creates a sleek, professional SQL query builder with AI assistance. Key features:\n\n1. Clean, modern UI with smooth animations and transitions\n2. Responsive design that works well on all devices\n3. Interactive table and column selection\n4. Various data transformation options\n5. Custom requirements input\n6. Copy-to-clipboard functionality\n7. Error handling and user feedback\n8. Accessibility features\n\nThe design uses a professional color scheme with subtle gradients and shadows. The layout is organized into logical sections that appear as the user progresses through the query-building process.\n\nNote: This is a frontend implementation. You'll need to add the ChatGPT API integration on the backend, including the system prompt for SQL query generation. The metadata should be provided in JSON format describing the database structure."
+ }
+ ],
+ "stop_reason": "end_turn",
+ "stop_sequence": null,
+ "usage": {
+ "input_tokens": 364,
+ "cache_creation_input_tokens": 0,
+ "cache_read_input_tokens": 0,
+ "output_tokens": 2688
+ }
+ }
readme.scroll
Changed around line 1
+ # sqlgenius.scroll.pub
+
+ website generated by Claude from prompt: I want a simple app, that takes a metadata for a database as an input. Then it shows options to select which tables and columns to select. Then it gives options to do various data transformations, and has a text input for custom requests. Then this information is conveyd to chatgpt api, which is tasked to form an SQL query based on the inputs. On the backend side the gpt needs a system prompt to define what it needs to do