[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_154":155,"_156":157},"routes/_app.x.$handle.$name",{"_95":94,"_32":45,"_103":85,"_27":104,"_13":14,"_105":-5,"_11":106,"_107":108,"_109":110,"_111":112,"_113":114,"_20":-5,"_115":-5,"_116":-5,"_117":25,"_118":119,"_120":57,"_121":-5,"_122":-5,"_123":124},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_43":44,"_32":45,"_38":46,"_47":-5,"_48":25,"_49":50,"_51":50,"_52":-5,"_53":-5,"_18":54,"_55":31,"_56":57,"_58":-5,"_59":-5,"_60":61,"_62":63,"_64":-5,"_65":-5,"_66":-5,"_67":-5,"_68":69,"_70":69,"_71":72,"_73":72,"_74":72,"_75":69,"_76":69,"_77":78,"_79":80,"_81":82,"_83":25},"version",34,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":28,"_33":34,"_35":37,"_38":39,"_40":14,"_41":42,"_24":25},"previous",{"_30":31,"_32":28,"_33":34,"_35":36},"deleted",false,"deletedHere","path","main.tsx","latestPath","fileId","64e2ac46-26cb-11f0-9439-569c3dd06744","name","fileType","http","content","/** @jsxImportSource https://esm.sh/react */\nimport React, { useState, useRef } from \"https://esm.sh/react\";\nimport { createRoot } from \"https://esm.sh/react-dom/client\";\n\nfunction LoadingSpinner() {\n return (\n

✨ Weaving your magical story... ✨

\n );\n}\n\nfunction cleanText(text: string) {\n return text\n .replace(/\\*+/g, '')\n .replace(/^Story:\\s*/, '')\n .trim();\n}\n\nfunction App() {\n const [storyParts, setStoryParts] = useState({\n title: null,\n parts: []\n });\n const [imagePreview, setImagePreview] = useState(null);\n const [isLoading, setIsLoading] = useState(false);\n const [error, setError] = useState(null);\n const fileInputRef = useRef(null);\n\n const handleImageUpload = async (event: React.ChangeEvent) => {\n const file = event.target.files?.[0];\n if (file) {\n const reader = new FileReader();\n reader.onloadend = () => {\n setImagePreview(reader.result as string);\n };\n reader.readAsDataURL(file);\n\n setIsLoading(true);\n setError(null);\n try {\n const formData = new FormData();\n formData.append('image', file);\n formData.append('previousStory', JSON.stringify(storyParts.parts));\n \n const response = await fetch('/generate-story', {\n method: 'POST',\n body: formData\n });\n \n const result = await response.json();\n \n if (result.error) {\n setError(result.error);\n } else {\n setStoryParts(prev => ({\n title: prev.title || result.mainTitle,\n parts: [\n ...prev.parts, \n {\n title: cleanText(result.title),\n content: cleanText(result.story),\n imageBase64: result.imageBase64\n }\n ]\n }));\n setImagePreview(null);\n }\n } catch (error) {\n console.error(\"Story generation failed\", error);\n setError(\"Failed to generate story. Please try again.\");\n } finally {\n setIsLoading(false);\n }\n }\n };\n\n return (\n

🎨 Story Weaver 📖

Turn your child's imagination into a story! Upload a drawing and watch as it magically transforms into a unique adventure.

\n \n

\n \n \n

\n\n {isLoading && }\n\n {error && (\n

🚨 {error}

\n )}\n\n {storyParts.parts.length > 0 && (\n

🌟 {storyParts.title} 🌟

\n {storyParts.parts.map((part, index) => (\n

Chapter {index + 1}: {part.title}

\n {part.imageBase64 && (\n

\n )}\n

{part.content}

\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-story') {\n const formData = await request.formData();\n const imageFile = formData.get('image') as File;\n const previousStoryStr = formData.get('previousStory') as string || '[]';\n const previousStory = JSON.parse(previousStoryStr);\n\n if (!imageFile) {\n return new Response(JSON.stringify({ error: 'No image uploaded' }), { status: 400 });\n }\n\n const arrayBuffer = await imageFile.arrayBuffer();\n const base64Image = btoa(\n new Uint8Array(arrayBuffer).reduce((data, byte) => data + String.fromCharCode(byte), '')\n );\n\n const { OpenAI } = await import(\"https://esm.town/v/std/openai\");\n const openai = new OpenAI();\n\n try {\n const imageAnalysis = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n {\n role: \"user\",\n content: [\n { \n type: \"text\", \n text: \"Carefully describe this children's drawing. What specific characters, colors, objects, or actions are in the image?\" \n },\n { \n type: \"image_url\", \n image_url: { url: `data:image/jpeg;base64,${base64Image}` }\n }\n ]\n }\n ]\n });\n\n const imageDescription = imageAnalysis.choices[0].message.content || \"A magical drawing\";\n const previousStoryContext = previousStory.map((part: any) => part.content).join(' ');\n\n const story = await openai.chat.completions.create({\n model: \"gpt-4o-mini\",\n messages: [\n { \n role: \"system\", \n content: \"You are a children's storyteller for 4-10 year olds. STRICT RULES: 1) Use EXACTLY 3-4 sentences. 2) Make every word count. 3) Use simple words. 4) Create an exciting, quick story that matches the drawing.\" \n },\n { \n role: \"user\", \n content: `Image Details: ${imageDescription}\n\nPrevious Story: ${previousStoryContext}\n\nINSTRUCTIONS:\n- Write a SUPER SHORT story\n- Use ONLY 3-4 sentences\n- Make it FUN and SIMPLE\n- Connect directly to the drawing`\n }\n ],\n max_tokens: 80\n });\n\n const fullResponse = story.choices[0].message.content || '';\n \n const titleMatch = fullResponse.match(/Title:\\s*(.+?)(?:\\n|$)/);\n const title = titleMatch ? titleMatch[1].trim() : 'Magical Adventure';\n \n const mainTitle = previousStory.length === 0 \n ? title \n : (previousStory[0] as any).title;\n\n return new Response(JSON.stringify({ \n mainTitle: mainTitle,\n title: title,\n story: fullResponse,\n imageBase64: `data:image/jpeg;base64,${base64Image}`\n }), {\n headers: { 'Content-Type': 'application/json' }\n });\n\n } catch (error) {\n console.error('Story generation error:', error);\n return new Response(JSON.stringify({ \n error: 'Failed to generate story. Please try again.' \n }), { \n status: 500,\n headers: { 'Content-Type': 'application/json' }\n });\n }\n }\n\n return new Response(`\n \n \n Story Weaver\n \n \n \n \n

✨ Weaving your magical story... ✨

🎨 Story Weaver 📖

Create magical stories from your child's drawings! Upload an image and watch as AI transforms their artwork into a personalized adventure.

\n \n

\n \n \n

\n\n {isLoading && }\n\n {error && (\n

🚨 {error}

\n )}\n\n {storyParts.parts.length > 0 && (\n

🌟 {storyParts.title} 🌟

\n {storyParts.parts.map((part, index) => (\n

Chapter {index + 1}: {part.title}

\n {part.imageBase64 && (\n

\n )}\n

{part.content}

\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-story') {\n const formData = await request.formData();\n const imageFile = formData.get('image') as File;\n const previousStoryStr = formData.get('previousStory') as string || '[]';\n const previousStory = JSON.parse(previousStoryStr);\n\n if (!imageFile) {\n return new Response(JSON.stringify({ error: 'No image uploaded' }), { status: 400 });\n }\n\n const arrayBuffer = await imageFile.arrayBuffer();\n const base64Image = btoa(\n new Uint8Array(arrayBuffer).reduce((data, byte) => data + String.fromCharCode(byte), '')\n );\n\n const { OpenAI } = await import(\"https://esm.town/v/std/openai\");\n const openai = new OpenAI();\n\n try {\n const imageAnalysis = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n {\n role: \"user\",\n content: [\n { \n type: \"text\", \n text: \"Carefully describe this children's drawing. What specific characters, colors, objects, or actions are in the image?\" \n },\n { \n type: \"image_url\", \n image_url: { url: `data:image/jpeg;base64,${base64Image}` }\n }\n ]\n }\n ]\n });\n\n const imageDescription = imageAnalysis.choices[0].message.content || \"A magical drawing\";\n const previousStoryContext = previousStory.map((part: any) => part.content).join(' ');\n\n const story = await openai.chat.completions.create({\n model: \"gpt-4o-mini\",\n messages: [\n { \n role: \"system\", \n content: \"You are a children's storyteller for ages 5-12. Create an exciting two-paragraph story that directly relates to the drawing.\" \n },\n { \n role: \"user\", \n content: `Image Description: ${imageDescription}\n\nPrevious Story Context: ${previousStoryContext}\n\nCreate a story part with:\n1. Two paragraphs of 3-4 sentences each\n2. Connects to the specific details in the drawing\n3. Continues the previous story's adventure`\n }\n ],\n max_tokens: 300\n });\n\n const fullResponse = story.choices[0].message.content || '';\n \n const titleMatch = fullResponse.match(/Title:\\s*(.+?)(?:\\n|$)/);\n const title = titleMatch ? titleMatch[1].trim() : 'Magical Adventure';\n \n const storyParts = fullResponse.split('\\n\\n').filter(part => \n part.trim() && !part.startsWith('Title:')\n );\n const storyContent = storyParts.join('\\n\\n');\n\n const mainTitle = previousStory.length === 0 \n ? title \n : (previousStory[0] as any).title;\n\n return new Response(JSON.stringify({ \n mainTitle: mainTitle,\n title: title,\n story: storyContent,\n imageBase64: `data:image/jpeg;base64,${base64Image}`\n }), {\n headers: { 'Content-Type': 'application/json' }\n });\n\n } catch (error) {\n console.error('Story generation error:', error);\n return new Response(JSON.stringify({ \n error: 'Failed to generate story. Please try again.' \n }), { \n status: 500,\n headers: { 'Content-Type': 'application/json' }\n });\n }\n }\n\n return new Response(`\n \n \n Story Weaver\n \n \n \n \n

\n \n \n \n \n `, {\n headers: { 'Content-Type': 'text/html' }\n });\n}\n\nconst css = `\nbody {\n font-family: 'Comic Sans MS', 'Chalkboard SE', sans-serif;\n background: linear-gradient(135deg, #fef9e7 0%, #f0f4c3 100%);\n color: #333;\n line-height: 1.6;\n margin: 0;\n padding: 0;\n display: flex;\n justify-content: center;\n min-height: 100vh;\n}\n\n.container {\n width: 100%;\n max-width: 600px;\n background: white;\n box-shadow: 0 10px 25px rgba(0,0,0,0.1);\n border-radius: 15px;\n padding: 30px;\n margin: 20px;\n text-align: center;\n}\n\n.loading-spinner {\n display: flex;\n flex-direction: column;\n align-items: center;\n margin: 20px 0;\n}\n\n.spinner {\n border: 4px solid #f3f3f3;\n border-top: 4px solid #ff6b6b;\n border-radius: 50%;\n width: 40px;\n height: 40px;\n animation: spin 1s linear infinite;\n}\n\n@keyframes spin {\n 0% { transform: rotate(0deg); }\n 100% { transform: rotate(360deg); }\n}\n\n.story-section {\n margin-bottom: 30px;\n text-align: left;\n}\n\n.story-section h3 {\n color: #4a4a4a;\n margin-bottom: 15px;\n font-size: 1.3em;\n}\n\n.story-image {\n max-width: 100%;\n margin-bottom: 15px;\n display: flex;\n justify-content: center;\n}\n\n.story-image img {\n max-width: 100%;\n max-height: 300px;\n border-radius: 10px;\n object-fit: contain;\n}\n\n.upload-section {\n margin-bottom: 20px;\n}\n\n.image-preview {\n display: none;\n}\n`;","createdAt",["D",1732372522900],"branchVersion","branchId","64df9786-26cb-11f0-9439-569c3dd06744","id","64df3f48-26cb-11f0-9439-569c3dd06744","Storyweaver",["D",1746131546103],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","imageUrl","0d4539aa-e0b2-4ecc-bb2d-329a707f996f","pinnedFileId","pinPreview",true,"pinMigrated","screenshotVersion","likeCount",0,"orgId","3a83e7a2-5763-4a7f-8acb-9223dab4fb6a","tursoName","tursoHostname","tursoMeasuredAt","pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_95":94,"_102":98},"org",{"_95":94,"_96":-5,"_97":98,"_18":54,"_99":100,"_101":25},"branch",{"_13":84,"_32":85,"_43":42,"_86":44,"_87":-5,"_88":-5,"_89":-5,"_90":-5,"_91":-5,"_92":45,"_93":94},"isOwned",52,"main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","aioe0x417a","handle","displayName","avatar","https://img.clerk.com/eyJ0eXBlIjoicHJveHkiLCJzcmMiOiJodHRwczovL2ltYWdlcy5jbGVyay5kZXYvb2F1dGhfZ2l0aHViL2ltZ18ycDRneDNkTDBvdGEyQnRyVzNUazdSZ3FPSEUifQ","tier","free","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_43":44,"_32":45,"_38":150,"_47":-5,"_48":25,"_49":50,"_51":50,"_52":-5,"_53":-5,"_18":54,"_55":31,"_56":57,"_58":-5,"_59":-5,"_60":61,"_62":63,"_64":-5,"_65":-5,"_66":-5,"_67":-5,"_68":69,"_70":69,"_71":72,"_73":72,"_74":72,"_75":69,"_76":69,"_77":151,"_79":152,"_81":153,"_83":25},"tree",[145],"files",[145],"counts",{"_134":61,"_135":136,"_137":136,"_138":139,"_140":141},"contents",[126],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{"_31":125},"storyweaver.fun",{"_43":127,"_32":28,"_30":31,"_128":-5,"_41":42,"_40":14,"_129":25,"_38":130,"_13":131,"_33":34,"_35":37,"_24":25,"_132":-5,"_27":133},"65c765e8-26cb-11f0-9439-569c3dd06744","parentId","latest",["D",1732372522900],33,"label",[28],"pulls","branches",1,"forks","envVars",{"_142":61,"_144":61},"connections",{"_142":61,"_143":61},"count","unfilledCount","emptyCount",{"_43":127,"_32":28,"_30":31,"_128":-5,"_41":42,"_40":14,"_129":25,"_38":146,"_13":131,"_33":34,"_35":37,"_24":25,"_132":-5,"_147":148,"_27":149},["D",1732372522900],"children",[],[28],["D",1746131546103],{"_95":94,"_102":98},{"_95":94,"_96":-5,"_97":98,"_18":54,"_99":100,"_101":25},{"_13":84,"_32":85,"_43":42,"_86":44,"_87":-5,"_88":-5,"_89":-5,"_90":-5,"_91":-5,"_92":45,"_93":94},"ctx",{"_77":-5,"_122":187,"_188":189,"_190":191,"_192":25,"_193":25,"_194":25,"_195":57,"_196":-5,"_197":-7,"_198":-7,"_199":61,"_200":25,"_201":25,"_202":-5,"_203":25,"_204":25,"_205":25,"_206":-5},"ENV",{"_158":159,"_160":161,"_162":85,"_163":164,"_165":166,"_167":168,"_169":170,"_171":172,"_173":174,"_175":176,"_177":178,"_179":180,"_181":182,"_183":184,"_185":186},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","e87eb04e707cf64e7e532c8e8ec395f209e17f15","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

Diff · v34