[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_188":189,"_190":191},"routes/_app.x.$handle.$name",{"_96":95,"_32":45,"_104":86,"_27":105,"_13":14,"_106":-5,"_11":107,"_108":109,"_110":111,"_112":113,"_114":115,"_20":-5,"_116":-5,"_117":-5,"_118":25,"_119":120,"_121":58,"_122":-5,"_123":-5,"_124":125},"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":56,"_57":58,"_59":58,"_60":-5,"_61":62,"_63":64,"_65":-5,"_66":-5,"_67":-5,"_68":-5,"_69":70,"_71":70,"_72":73,"_74":73,"_75":73,"_76":70,"_77":70,"_78":79,"_80":81,"_82":83,"_84":25},"version",15,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":33,"_34":20,"_35":37,"_38":39,"_40":14,"_41":42,"_24":25},"previous",{"_30":31,"_32":33,"_34":20,"_35":36},"deleted",false,"deletedHere","path","frontend/index.html","latestPath","fileId","1967e376-322e-11f0-a59b-569c3dd06744","name","index.html","fileType","content","\n\n\n \n \n Simple Image Text Chat Bot\n \n \n \n \n \n\n\n

Simple Image Text Chat Bot

Ask me anything and I'll respond with text on simple, clean images!

\n \n

\n 🤖\n

Hello! I'm your AI assistant. Ask me anything, and I'll respond with text on simple, clean background images!

\n \n

\n \n \n

\n\n \n\n","\n\n\n \n \n Solid Color Text Chat Bot\n \n \n \n \n \n\n\n

Solid Color Text Chat Bot

Ask me anything and I'll respond with text on solid-color backgrounds!

\n \n

\n 🤖\n

Hello! I'm your AI assistant. Ask me anything, and I'll respond with text on solid-color background images!

\n \n

\n \n \n

\n\n \n\n","createdAt",["D",1747383859162],"branchVersion","branchId","c48a4182-322d-11f0-a753-569c3dd06744","id","c489fa42-322d-11f0-a753-569c3dd06744","Respec",["D",1747383260076],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","imageUrl","b09cab60-322d-11f0-850d-c3fec8914ba3","pinnedFileId","0a60471a-322e-11f0-ae1e-569c3dd06744","pinPreview",true,"pinMigrated","screenshotVersion","likeCount",0,"orgId","e03e7ce1-b11a-4ee2-bd8e-7d7c1055c4b6","tursoName","tursoHostname","tursoMeasuredAt","pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_96":95,"_103":99},"org",{"_96":95,"_97":-5,"_98":99,"_18":54,"_100":101,"_102":25},"branch",{"_13":85,"_32":86,"_43":42,"_87":44,"_88":-5,"_89":-5,"_90":-5,"_91":-5,"_92":-5,"_93":45,"_94":95},"isOwned",16,"main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","Problewk","handle","displayName","avatar","https://img.clerk.com/eyJ0eXBlIjoiZGVmYXVsdCIsImlpZCI6Imluc18yTm10cGhQUklwU0tqZHNiOHNnNGd2ZjJURFUiLCJyaWQiOiJ1c2VyXzJ4QWFEU1VJSEJ3WHQ5b0JNbjd0YlpDbm9FTyJ9","tier","free","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_43":44,"_32":45,"_38":184,"_47":-5,"_48":25,"_49":50,"_51":50,"_52":-5,"_53":-5,"_18":54,"_55":56,"_57":58,"_59":58,"_60":-5,"_61":62,"_63":64,"_65":-5,"_66":-5,"_67":-5,"_68":-5,"_69":70,"_71":70,"_72":73,"_74":73,"_75":73,"_76":70,"_77":70,"_78":185,"_80":186,"_82":187,"_84":25},"tree",[165,167,168],"files",[165,166,167,168],"counts",{"_154":62,"_155":156,"_157":62,"_158":159,"_160":161},"contents",[126,127,128],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},{"_43":148,"_32":149,"_30":150,"_131":-5,"_41":42,"_40":145,"_133":58,"_38":151,"_13":62,"_34":152,"_35":-5,"_24":25,"_138":-5,"_27":153},{"_43":140,"_32":141,"_30":142,"_131":-5,"_41":42,"_40":143,"_133":25,"_38":144,"_13":145,"_34":20,"_35":146,"_24":25,"_138":-5,"_27":147},{"_43":129,"_32":130,"_30":56,"_131":-5,"_41":42,"_40":132,"_133":58,"_38":134,"_13":135,"_34":136,"_35":137,"_24":25,"_138":-5,"_27":139},"14a8cea8-322f-11f0-8bc4-569c3dd06744","index.ts","parentId",14,"latest",["D",1747383823982],5,"http","import { OpenAI } from \"https://esm.town/v/std/openai\";\nimport { readFile } from \"https://esm.town/v/std/utils@85-main/index.ts\";\n\n// Initialize OpenAI client\nconst openai = new OpenAI();\n\n// Constants\nconst MAX_CHARS_PER_IMAGE = 150; // Maximum characters per image\nconst IMAGE_BASE_URL = \"https://maxm-imggenurl.web.val.run/\";\n\n// Simple solid background colors\nconst BACKGROUND_COLORS = [\n \"solid light blue background, #e6f2ff, plain, no texture, no gradient\",\n \"solid light green background, #e6ffe6, plain, no texture, no gradient\",\n \"solid light purple background, #f2e6ff, plain, no texture, no gradient\",\n \"solid light yellow background, #ffffcc, plain, no texture, no gradient\",\n \"solid light pink background, #ffe6e6, plain, no texture, no gradient\",\n \"solid light cyan background, #e6ffff, plain, no texture, no gradient\"\n];\n\n// Function to split text into chunks for multiple images\nfunction splitTextIntoChunks(text: string, maxCharsPerChunk: number): string[] {\n const chunks: string[] = [];\n let remainingText = text;\n \n while (remainingText.length > 0) {\n // Find a good breaking point (end of sentence or space) within the limit\n let breakPoint = Math.min(maxCharsPerChunk, remainingText.length);\n \n if (breakPoint < remainingText.length) {\n // Try to find sentence end (.!?) within the limit\n const sentenceEnd = Math.max(\n remainingText.lastIndexOf('.', breakPoint),\n remainingText.lastIndexOf('!', breakPoint),\n remainingText.lastIndexOf('?', breakPoint)\n );\n \n if (sentenceEnd > 0 && sentenceEnd > breakPoint - 30) {\n // If we found a sentence end that's not too far from our limit\n breakPoint = sentenceEnd + 1;\n } else {\n // Otherwise try to break at a space\n const lastSpace = remainingText.lastIndexOf(' ', breakPoint);\n if (lastSpace > 0) {\n breakPoint = lastSpace + 1;\n }\n }\n }\n \n // Add this chunk and continue with the rest\n chunks.push(remainingText.substring(0, breakPoint).trim());\n remainingText = remainingText.substring(breakPoint).trim();\n }\n \n return chunks;\n}\n\n// Function to generate image URLs with text on solid color backgrounds\nfunction generateImageURLs(textChunks: string[]): string[] {\n // Use a single background color for all images\n const backgroundColor = BACKGROUND_COLORS[0];\n \n return textChunks.map((chunk) => {\n // Create a simple background prompt for a solid color\n const backgroundPrompt = backgroundColor;\n \n // Encode both the text and background prompt for the URL\n const encodedText = encodeURIComponent(chunk);\n const encodedPrompt = encodeURIComponent(backgroundPrompt);\n \n // Return the full URL with parameters\n return `${IMAGE_BASE_URL}${encodedPrompt}?text=${encodedText}`;\n });\n}\n\n// Handle HTTP requests\nexport default async function(req: Request): Promise {\n const url = new URL(req.url);\n \n // Serve the chat interface for GET requests to the root\n if (req.method === \"GET\" && url.pathname === \"/\") {\n try {\n const html = await readFile(\"/frontend/index.html\", import.meta.url);\n return new Response(html, {\n headers: {\n \"Content-Type\": \"text/html\",\n },\n });\n } catch (error) {\n console.error(\"Error serving frontend:\", error);\n return new Response(\"Error loading chat interface. Please try again later.\", {\n status: 500,\n });\n }\n }\n \n // Handle API requests for chat\n if (req.method === \"POST\" && url.pathname === \"/api/chat\") {\n try {\n const body = await req.json();\n const { message } = body;\n \n if (!message || typeof message !== \"string\") {\n return new Response(JSON.stringify({ error: \"Message is required\" }), {\n status: 400,\n headers: {\n \"Content-Type\": \"application/json\",\n },\n });\n }\n \n // Get response from OpenAI\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o-mini\",\n messages: [\n {\n role: \"system\",\n content: \"You are a helpful assistant. Provide informative and educational responses. Your responses will be displayed as text on solid-color background images, so be concise but thorough.\"\n },\n {\n role: \"user\",\n content: message\n }\n ],\n max_tokens: 500,\n });\n \n const assistantMessage = completion.choices[0].message.content || \"I'm not sure how to respond to that.\";\n \n // Split the response into chunks for multiple images if needed\n const textChunks = splitTextIntoChunks(assistantMessage, MAX_CHARS_PER_IMAGE);\n \n // Generate image URLs with the text chunks\n const imageURLs = generateImageURLs(textChunks);\n \n return new Response(JSON.stringify({\n message: assistantMessage,\n imageURLs: imageURLs\n }), {\n headers: {\n \"Content-Type\": \"application/json\",\n },\n });\n } catch (error) {\n console.error(\"Error processing chat:\", error);\n return new Response(JSON.stringify({ error: \"Failed to process your message\" }), {\n status: 500,\n headers: {\n \"Content-Type\": \"application/json\",\n },\n });\n }\n }\n \n // Handle 404 for all other routes\n return new Response(\"Not Found\", { status: 404 });\n}","label",[130],"e72f3ba6-322e-11f0-b3bc-569c3dd06744","README.md","007503e4-322e-11f0-a8ac-569c3dd06744",13,["D",1747383747688],3,"# Simple Image Text Chat Bot\n\nA clean, minimalist chat bot that responds to your questions with text overlaid on simple, single-color background images. The number of images generated depends on the length of the response.\n\n## Features\n\n- Responds to questions with text overlaid on simple, clean background images\n- Uses a rotating set of pleasant, single-color gradient backgrounds\n- Automatically splits longer responses across multiple images\n- Clean, responsive chat interface\n- Optimized for fast loading and readability\n\n## How It Works\n\n1. The user submits a question or prompt\n2. The bot generates a response using OpenAI\n3. The response is split into appropriate chunks based on length\n4. Each chunk is rendered as text on a simple, single-color background\n5. The images are displayed in the chat interface\n\n## Technical Implementation\n\n- **Text Generation**: Uses OpenAI's API to generate informative responses\n- **Text Splitting**: Intelligently splits text at natural breaking points (sentences, spaces)\n- **Image Generation**: Uses Val Town's image generation URL with simple background prompts\n- **Frontend**: Responsive design with Tailwind CSS\n\n## Environment Variables\n\n- `OPENAI_API_KEY`: Your OpenAI API key (required)\n\n## Benefits of Simple Backgrounds\n\n- Faster loading times\n- Better text readability\n- Clean, minimalist aesthetic\n- Reduced visual distraction from the content\n- Consistent look and feel across all responses",[141],"1967f2bc-322e-11f0-a59b-569c3dd06744","frontend","901aa0d2-1e12-4fe9-b9c4-c6ca06fd2a9d",["D",1747383402451],"directory",[149],"pulls","branches",1,"forks","envVars",{"_162":62,"_164":62},"connections",{"_162":62,"_163":62},"count","unfilledCount","emptyCount",{"_43":148,"_32":149,"_30":150,"_131":-5,"_41":42,"_40":145,"_133":58,"_38":181,"_13":62,"_34":152,"_35":-5,"_24":25,"_138":-5,"_170":182,"_27":183},{"_43":176,"_32":33,"_30":31,"_131":150,"_41":42,"_40":14,"_133":58,"_38":177,"_13":178,"_34":20,"_35":37,"_24":25,"_138":-5,"_170":179,"_27":180},{"_43":140,"_32":141,"_30":142,"_131":-5,"_41":42,"_40":143,"_133":25,"_38":173,"_13":145,"_34":20,"_35":146,"_24":25,"_138":-5,"_170":174,"_27":175},{"_43":129,"_32":130,"_30":56,"_131":-5,"_41":42,"_40":132,"_133":58,"_38":169,"_13":135,"_34":136,"_35":137,"_24":25,"_138":-5,"_170":171,"_27":172},["D",1747383823982],"children",[],[130],["D",1747383747688],[],[141],"29a0ab32-322f-11f0-9cc3-569c3dd06744",["D",1747383859162],4,[],[149,33],["D",1747383402451],[166],[149],["D",1747383260076],{"_96":95,"_103":99},{"_96":95,"_97":-5,"_98":99,"_18":54,"_100":101,"_102":25},{"_13":85,"_32":86,"_43":42,"_87":44,"_88":-5,"_89":-5,"_90":-5,"_91":-5,"_92":-5,"_93":45,"_94":95},"ctx",{"_78":-5,"_123":221,"_222":223,"_224":225,"_226":25,"_227":25,"_228":25,"_229":58,"_230":-5,"_231":-7,"_232":-7,"_233":62,"_234":25,"_235":25,"_236":-5,"_237":25,"_238":25,"_239":25,"_240":-5},"ENV",{"_192":193,"_194":195,"_196":86,"_197":198,"_199":200,"_201":202,"_203":204,"_205":206,"_207":208,"_209":210,"_211":212,"_213":214,"_215":216,"_217":218,"_219":220},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","e8c4b7030cb7600e4eb0736b15f422c8b8bd130f","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 · v15