[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_166":167,"_168":169},"routes/_app.x.$handle.$name",{"_11":12,"_13":14,"_15":16,"_18":19,"_17":-7,"_125":-5,"_20":126,"_22":127,"_128":129,"_130":131,"_25":132,"_24":-5,"_133":-5,"_134":-5,"_135":54,"_136":137,"_138":45,"_139":-5,"_140":-5,"_141":142},"routes/_app.x.$handle.$name.branch.$branch.code.$",{"_11":12,"_13":14,"_15":16,"_17":-7,"_18":19,"_20":21,"_22":23,"_24":-7,"_25":26,"_27":-5,"_28":-5,"_29":-5,"_30":-5,"_31":-5},"handle","yawnxyz","name","illustratedPrimer","branchName","main","version","path","","project",{"_34":72,"_13":14,"_46":73,"_74":-5,"_75":45,"_76":77,"_78":77,"_79":-5,"_80":-5,"_81":82,"_83":38,"_84":45,"_85":-5,"_86":-5,"_87":48,"_88":89,"_90":-5,"_91":-5,"_92":-5,"_93":-5,"_94":95,"_96":95,"_97":98,"_99":98,"_100":98,"_101":95,"_102":95,"_103":104,"_105":106,"_107":108,"_109":54},"tree",[63,64],"file","contents",[32,33],"upstream","pull","ahead","behind","envVars",{"_34":57,"_13":58,"_37":59,"_39":-5,"_40":41,"_42":43,"_44":45,"_46":60,"_17":48,"_49":24,"_51":61,"_53":54,"_55":-5,"_18":62},{"_34":35,"_13":36,"_37":38,"_39":-5,"_40":41,"_42":43,"_44":45,"_46":47,"_17":48,"_49":50,"_51":52,"_53":54,"_55":-5,"_18":56},"id","613f05e4-2793-11f0-9d52-569c3dd06744","main.tsx","fileId","613f06c0-2793-11f0-9d52-569c3dd06744","parentId","branchId","613b4990-2793-11f0-9d52-569c3dd06744","branchVersion",1,"latest",true,"createdAt",["D",1721336430336],0,"fileType","http","content","import inputHeader from \"https://esm.town/v/substrate/inputHeader\";\nimport { ComputeJSON, ComputeText, GenerateImage, sb, Substrate } from \"npm:substrate\";\nimport { z } from \"npm:zod\";\nimport { zodToJsonSchema } from \"npm:zod-to-json-schema\";\n\nexport default async function handler(req: Request): Promise {\n const input = new URL(req.url).searchParams.get(\"input\") || \"modernism\";\n\n // Substrate graph\n const substrate = new Substrate({ apiKey: Deno.env.get(\"SUBSTRATE_API_KEY_R\") });\n const Topic = z\n .object({\n concepts: z.array(z.string()).min(2).max(2).describe(\n \"List of advanced concepts related to a topic. Only one concept per item.\",\n ),\n })\n .describe(\"Advanced concepts related to a topic.\");\n const c1 = new ComputeJSON({\n prompt: `List advanced concepts related to: ${input}`,\n json_schema: zodToJsonSchema(Topic),\n });\n const prompt1 = new ComputeText({\n prompt: sb.interpolate`generate a description of an image of ${\n c1.future.json_object.get(\"concepts\").at(0)\n }. Be creative depicting abstract topics using detailed abstract imagery. Include details on the background, angle & framing, and style.`,\n });\n const prompt2 = new ComputeText({\n prompt: sb.interpolate`generate a description of an image of ${\n c1.future.json_object.get(\"concepts\").at(1)\n }. Be creative depicting abstract topics using detailed abstract imagery. Include details on the background, angle & framing, and style.`,\n });\n const caption1 = new ComputeText({\n prompt: sb.interpolate`write a short paragraph relating ${c1.future.json_object.get(\"concepts\").at(0)} to ${input}`,\n });\n const caption2 = new ComputeText({\n prompt: sb.interpolate`write a short paragraph relating ${\n c1.future.json_object.get(\"concepts\").at(1)\n } to ${input}. It should be meaningfully different from the following content:\n ${caption1.future.text}`,\n }, { cache_age: 800 });\n const image1 = new GenerateImage({ prompt: prompt1.future.text });\n const image2 = new GenerateImage({ prompt: prompt2.future.text });\n const c2 = new ComputeJSON({\n prompt: sb.interpolate`List advanced concepts related to: ${c1.future.json_object.get(\"concepts\").at(0)}\n They must be meaningfully different from those in this list:[${c1.future.json_object.get(\"concepts\").at(0)}, ${\n c1.future.json_object.get(\"concepts\").at(1)\n }]`,\n json_schema: zodToJsonSchema(Topic),\n });\n const prompt3 = new ComputeText({\n prompt: sb.interpolate`generate a description of an image of ${\n c2.future.json_object.get(\"concepts\").at(0)\n }. Be creative depicting abstract topics using detailed abstract imagery. Include details on the background, angle & framing, and style.`,\n });\n const prompt4 = new ComputeText({\n prompt: sb.interpolate`generate a description of an image of ${\n c2.future.json_object.get(\"concepts\").at(1)\n }. Be creative depicting abstract topics using detailed abstract imagery. Include details on the background, angle & framing, and style.`,\n });\n const caption3 = new ComputeText({\n prompt: sb.interpolate`write a short paragraph relating ${\n c2.future.json_object.get(\"concepts\").at(0)\n } to ${input}. It should be meaningfully different from the following content: \n ${caption1.future.text}\n ${caption2.future.text}`,\n });\n const caption4 = new ComputeText({\n prompt: sb.interpolate`write a short paragraph relating ${\n c2.future.json_object.get(\"concepts\").at(1)\n } to ${input}. It should be meaninfully different from the following content: \n ${caption1.future.text}\n ${caption2.future.text}\n ${caption3.future.text}`,\n });\n const image3 = new GenerateImage({ prompt: prompt3.future.text });\n const image4 = new GenerateImage({ prompt: prompt4.future.text });\n const nodes = [image1, caption1, image2, caption2, image3, caption3, image4, caption4];\n const stream = await substrate.stream(...nodes);\n\n // UI\n const capitalize = s => s.replace(/^\\w/, c => c.toUpperCase());\n return new Response(\n new ReadableStream({\n async start(controller) {\n const pairs = [\n { image: null, caption: null, title: null },\n { image: null, caption: null, title: null },\n { image: null, caption: null, title: null },\n { image: null, caption: null, title: null },\n ];\n\n const outputPair = (pair, index) => {\n if (pair.image && pair.caption) {\n controller.enqueue(new TextEncoder().encode(\n `

${pair.image}

\n ${capitalize(pair.title)}
${pair.caption}

`,\n ));\n pairs[index] = { image: null, caption: null, title: null }; // Reset after output\n }\n };\n\n controller.enqueue(new TextEncoder().encode(inputHeader(input)));\n\n for await (const event of stream) {\n if (event.object === \"node.result\") {\n if (event.node_id === c1.id) {\n pairs[0].title = event.data.json_object.concepts[0];\n pairs[1].title = event.data.json_object.concepts[1];\n }\n else if (event.node_id === c2.id) {\n pairs[2].title = event.data.json_object.concepts[0];\n pairs[3].title = event.data.json_object.concepts[1];\n }\n else {\n const index = nodes.findIndex(node => node.id === event.node_id);\n if (index !== -1) {\n const pairIndex = Math.floor(index / 2);\n const isImage = index % 2 === 0;\n const content = event.data.image_uri\n ? `

`\n : `

${event.data.text}

`;\n\n if (isImage) {\n pairs[pairIndex].image = content;\n } else {\n pairs[pairIndex].caption = content;\n }\n\n outputPair(pairs[pairIndex], pairIndex);\n }\n }\n }\n }\n pairs.forEach((pair, index) => outputPair(pair, index));\n controller.close();\n },\n }),\n { headers: { \"Content-Type\": \"text/html\" } },\n );\n}","deleted",false,"label",[36],"613f1200-2793-11f0-9d52-569c3dd06744","README.md","613f1296-2793-11f0-9d52-569c3dd06744",["D",1721336430336],"Generates a streaming illustrated primer on a subject. 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Code