\n 🐝 BeeGPT\n

The Bee-Themed AI Assistant

\n\n

\n \n \n 💬 Chat\n \n \n \n \n 🖼️ Image Generator\n \n \n

\n\n

\n \n \n \n

\n Buzz buzz! I'm BeeGPT, your friendly bee-themed assistant! How can\n I help you today? I'm absolutely buzzing with excitement to assist\n you with any questions or tasks you might have! 🐝\n

\n \n\n

\n \n\n \n \n

\n 🐝 Bee-utiful Image Generator\n

\n Describe the image you'd like to create, and I'll generate a\n bee-themed masterpiece! I'll automatically add bee-themed elements\n to your description.\n

\n\n

\n Image Description\n \n

\n\n

\n Image Size\n

\n \n \n Square (1:1)\n \n \n \n Landscape (16:9)\n \n \n \n Portrait (9:16)\n \n

\n\n \n Generate Bee-utiful Image 🐝\n \n \n\n

\n Buzzing up your image... 🐝\n

\n This may take up to 30 seconds\n

\n\n

\n \n

\n\n

Enhanced Prompt:

\n\n

\n \n Generate New Image\n \n\n \n Download Image\n \n

\n\n \n

\n Error Generating Image:\n

\n \n Try Again\n \n

\n \n \n

\n\n \n\n \n \n",[],[171],{"_107":180,"_100":181,"_151":182,"_153":-5,"_154":138,"_155":183,"_156":157,"_109":184,"_104":185,"_160":186,"_162":187,"_164":27,"_165":188,"_166":189,"_103":190},"f446d60e-3194-11f0-a504-569c3dd06744","index.tsx","e0a8e0c4-3194-11f0-95e9-569c3dd06744",6,["D",1747317627152],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// Bee-themed personality prompt\nconst BEE_PERSONA = `\nYou are BeeGPT, a friendly and helpful AI assistant with a bee theme.\n- Always include bee-related puns, facts, or metaphors in your responses\n- Occasionally use bee-themed expressions like \"buzzing with excitement\", \"bee-lieve\", \"honey\", etc.\n- Sign off your messages with a bee-related closing\n- Keep your responses helpful and informative while maintaining the bee theme\n- Your personality is industrious, sweet, and community-minded like a bee\n`;\n\n// Bee-themed image prompt enhancer\nfunction enhanceImagePrompt(userPrompt: string): string {\n const prompt = userPrompt.trim();\n\n // Safety check - don't allow very short prompts\n if (prompt.length < 3) {\n return \"A beautiful bee in a flower garden, detailed digital art\";\n }\n\n // Check if the prompt already has bee-related terms\n const hasBeeTheme =\n /\\b(bee|bees|honey|honeycomb|hive|apiary|beekeeper|pollen|nectar|queen bee|worker bee|drone|apiculture)\\b/i.test(\n prompt,\n );\n\n if (hasBeeTheme) {\n // If already bee-themed, enhance it further but preserve the original intent\n return `${prompt}, with golden honey lighting, detailed bee features, subtle hexagonal honeycomb patterns, vibrant colors, high detail, professional photography, 4K`;\n } else {\n // If no bee-related terms, add bee theme while preserving original concept\n return `${prompt}, with bee-themed elements such as small bees, honey-colored lighting, subtle hexagonal patterns in the background, warm amber tones, professional photography, 4K`;\n }\n}\n\nexport default async function(req: Request): Promise {\n const url = new URL(req.url);\n\n // Serve the HTML frontend\n if (req.method === \"GET\" && url.pathname === \"/\") {\n const html = await readFile(\"/frontend.html\", import.meta.url);\n return new Response(html, {\n headers: { \"Content-Type\": \"text/html\" },\n });\n }\n\n // Handle chat API requests\n if (req.method === \"POST\" && url.pathname === \"/api/chat\") {\n try {\n const { message } = await req.json();\n\n if (!message) {\n return new Response(JSON.stringify({ error: \"Message is required\" }), {\n status: 400,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n\n // Call OpenAI with bee persona\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o-mini\",\n messages: [\n { role: \"system\", content: BEE_PERSONA },\n { role: \"user\", content: message },\n ],\n max_tokens: 500,\n });\n\n const response = completion.choices[0]?.message?.content || \"Buzz... something went wrong!\";\n\n return new Response(JSON.stringify({ response }), {\n headers: { \"Content-Type\": \"application/json\" },\n });\n } catch (error) {\n console.error(\"Error processing request:\", error);\n return new Response(JSON.stringify({ error: \"Failed to process request\" }), {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n }\n\n // Handle image generation API requests\n if (req.method === \"POST\" && url.pathname === \"/api/generate-image\") {\n try {\n const { prompt, size = \"1024x1025\" } = await req.json();\n\n if (!prompt) {\n return new Response(JSON.stringify({ error: \"Prompt is required\" }), {\n status: 400,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n\n // Enhance the prompt with bee theme\n const enhancedPrompt = enhanceImagePrompt(prompt);\n\n console.log(\"Generating image with prompt:\", enhancedPrompt);\n console.log(\"Selected size:\", size);\n\n // Validate size parameter\n const validSizes = [\"1024x1024\", \"1792x1024\", \"1024x1792\"];\n const validatedSize = validSizes.includes(size) ? size : \"1024x1024\";\n\n try {\n // Generate image using DALL-E\n const response = await openai.images.generate({\n model: \"dall-e-3\",\n prompt: enhancedPrompt,\n n: 1,\n size: validatedSize as \"1024x1024\" | \"1792x1024\" | \"1024x1792\",\n quality: \"standard\",\n style: \"vivid\", // Use vivid for more artistic images\n });\n\n console.log(\"OpenAI response:\", JSON.stringify(response));\n\n const imageUrl = response.data[0]?.url;\n\n if (!imageUrl) {\n throw new Error(\"No image URL returned from OpenAI\");\n }\n\n return new Response(\n JSON.stringify({\n imageUrl,\n enhancedPrompt,\n }),\n {\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n } catch (openaiError) {\n console.error(\"OpenAI API Error:\", openaiError);\n\n // Check if it's a content policy violation\n if (openaiError.message && openaiError.message.includes(\"content policy\")) {\n return new Response(\n JSON.stringify({\n error: \"Your image request was rejected due to content policy. Please try a different prompt.\",\n details: openaiError.message,\n }),\n {\n status: 400,\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n }\n\n // Check if it's a rate limit error\n if (openaiError.message && openaiError.message.includes(\"rate limit\")) {\n return new Response(\n JSON.stringify({\n error: \"Rate limit exceeded. Please try again later.\",\n details: openaiError.message,\n }),\n {\n status: 429,\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n }\n\n throw openaiError; // Re-throw for general error handling\n }\n } catch (error) {\n console.error(\"Error generating image:\", error);\n return new Response(\n JSON.stringify({\n error: \"Failed to generate image. Please try again with a different prompt or later.\",\n details: error instanceof Error ? error.message : String(error),\n }),\n {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n }\n }\n\n // Handle 404\n return new Response(\"Not found\", { status: 404 });\n}","beegpt",[],[181],"files",[148,169,179],"counts",{"_195":31,"_196":159,"_197":31,"_198":31},"pulls","branches","forks","envVars","contents",[201,204,207],{"_107":149,"_100":150,"_151":152,"_153":-5,"_154":138,"_155":137,"_156":157,"_109":202,"_104":159,"_160":161,"_162":163,"_164":27,"_165":-5,"_103":203},["D",1747317732328],[150],{"_107":170,"_100":171,"_151":172,"_153":-5,"_154":138,"_155":173,"_156":157,"_109":205,"_104":175,"_160":161,"_162":176,"_164":27,"_165":-5,"_103":206},["D",1747317713886],[171],{"_107":180,"_100":181,"_151":182,"_153":-5,"_154":138,"_155":183,"_156":157,"_109":208,"_104":185,"_160":186,"_162":187,"_164":27,"_165":188,"_103":209},["D",1747317627152],[181],"upstreamProject","upstreamBranch","emptyEnvVars","isNew","routes/_app.x.$handle.$name.branch.$branch.history",{"_98":99,"_100":101,"_102":42,"_105":216,"_220":221,"_303":31,"_304":27},{"_107":108,"_100":101,"_109":217,"_111":-5,"_112":27,"_113":114,"_115":-5,"_116":-5,"_12":117,"_118":-5,"_119":27,"_120":-5,"_121":31,"_122":123,"_124":123,"_125":126,"_127":126,"_128":126,"_129":123,"_130":123,"_131":27,"_21":218,"_135":219},["D",1747317585653],{"_98":99,"_133":134},{"_104":137,"_100":42,"_107":138,"_139":108,"_140":-5,"_141":-5,"_142":-5,"_143":-5,"_144":101,"_145":99},"history",[222,227,235,240,248,256,264,269,277,283,289,296],{"_151":152,"_104":137,"_109":223,"_154":138,"_191":224},["D",1747317732328],[225],{"_107":149,"_154":138,"_151":152,"_100":150,"_162":163,"_160":161,"_104":159,"_153":-5,"_109":223,"_155":137,"_165":-5,"_156":157,"_164":27,"_103":226},[150],{"_151":152,"_104":228,"_109":229,"_154":138,"_191":230},11,["D",1747317725572],[231],{"_107":232,"_154":138,"_151":152,"_100":150,"_162":233,"_160":161,"_104":31,"_153":-5,"_109":229,"_155":228,"_165":-5,"_156":27,"_164":27,"_103":234},"2eeef0ca-3195-11f0-960a-569c3dd06744","# beeGPT",[150],{"_151":172,"_104":173,"_109":236,"_154":138,"_191":237},["D",1747317713886],[238],{"_107":170,"_154":138,"_151":172,"_100":171,"_162":176,"_160":161,"_104":175,"_153":-5,"_109":236,"_155":173,"_165":-5,"_156":157,"_164":27,"_103":239},[171],{"_151":172,"_104":241,"_109":242,"_154":138,"_191":243},9,["D",1747317708950],[244],{"_107":245,"_154":138,"_151":172,"_100":171,"_162":73,"_160":161,"_104":246,"_153":-5,"_109":242,"_155":241,"_165":-5,"_156":27,"_164":27,"_103":247},"250775aa-3195-11f0-b7bb-569c3dd06744",2,[171],{"_151":172,"_104":249,"_109":250,"_154":138,"_191":251},8,["D",1747317708911],[252],{"_107":253,"_154":138,"_151":172,"_100":171,"_162":73,"_160":254,"_104":159,"_153":-5,"_109":250,"_155":249,"_165":-5,"_156":27,"_164":27,"_103":255},"25012416-3195-11f0-b7bb-569c3dd06744","script",[171],{"_151":172,"_104":257,"_109":258,"_154":138,"_191":259},7,["D",1747317702418],[260],{"_107":261,"_154":138,"_151":172,"_100":262,"_162":73,"_160":254,"_104":31,"_153":-5,"_109":258,"_155":257,"_165":-5,"_156":27,"_164":27,"_103":263},"2121a550-3195-11f0-a156-569c3dd06744","new-file-9291.tsx",[262],{"_151":182,"_104":183,"_109":265,"_154":138,"_191":266},["D",1747317627152],[267],{"_107":180,"_154":138,"_151":182,"_100":181,"_162":187,"_160":186,"_104":185,"_153":-5,"_109":265,"_155":183,"_165":188,"_156":157,"_164":27,"_103":268},[181],{"_151":182,"_104":185,"_109":270,"_154":138,"_191":271},["D",1747317607680],[272],{"_107":273,"_154":138,"_151":182,"_100":181,"_162":274,"_160":186,"_104":275,"_153":-5,"_109":270,"_155":185,"_165":188,"_156":27,"_164":27,"_103":276},"e8ab0536-3194-11f0-8c0e-569c3dd06744","export default async function (req: Request): Promise {\n return Response.json({ ok: true })\n}",4,[181],{"_151":182,"_104":275,"_109":278,"_154":138,"_191":279},["D",1747317607535],[280],{"_107":281,"_154":138,"_151":182,"_100":181,"_162":73,"_160":186,"_104":175,"_153":-5,"_109":278,"_155":275,"_165":188,"_156":27,"_164":27,"_103":282},"e894f7e6-3194-11f0-b39a-569c3dd06744",[181],{"_151":182,"_104":175,"_109":284,"_154":138,"_191":285},["D",1747317605137],[286],{"_107":287,"_154":138,"_151":182,"_100":181,"_162":73,"_160":254,"_104":246,"_153":-5,"_109":284,"_155":175,"_165":188,"_156":27,"_164":27,"_103":288},"e7273bb2-3194-11f0-bfa2-569c3dd06744",[181],{"_151":182,"_104":246,"_109":290,"_154":138,"_191":291},["D",1747317599056],[292],{"_107":293,"_154":138,"_151":182,"_100":294,"_162":73,"_160":254,"_104":159,"_153":-5,"_109":290,"_155":246,"_165":188,"_156":27,"_164":27,"_103":295},"e3870bd6-3194-11f0-abfd-569c3dd06744","index.tsx.tsx",[294],{"_151":182,"_104":159,"_109":297,"_154":138,"_191":298},["D",1747317594250],[299],{"_107":300,"_154":138,"_151":182,"_100":301,"_162":73,"_160":254,"_104":31,"_153":-5,"_109":297,"_155":159,"_165":188,"_156":27,"_164":27,"_103":302},"e0a8dff2-3194-11f0-95e9-569c3dd06744","new-file-2809.tsx",[301],"page","hasNext","routes/_app","actionData","errors"]

History