\n \n\n",[18,67],"b7800bc8-37a7-11f0-bef4-9e149126039e",["D",1747985392611],[18,90],"pulls","branches",1,"forks","envVars",{"_208":26,"_210":26},"connections",{"_208":26,"_209":26},"count","unfilledCount","emptyCount",{"_36":294,"_13":293,"_65":286,"_46":-5,"_38":39,"_175":288,"_176":24,"_40":295,"_42":26,"_68":91,"_178":-5,"_69":30,"_179":-5,"_229":296,"_17":297},{"_36":284,"_13":285,"_65":115,"_46":286,"_38":39,"_175":139,"_176":24,"_40":287,"_42":288,"_68":289,"_178":290,"_69":30,"_179":-5,"_229":291,"_17":292},{"_36":174,"_13":18,"_65":103,"_46":-5,"_38":39,"_175":43,"_176":24,"_40":281,"_42":26,"_68":91,"_178":-5,"_69":30,"_179":-5,"_229":282,"_17":283},{"_36":197,"_13":90,"_65":89,"_46":103,"_38":39,"_175":84,"_176":24,"_40":278,"_42":26,"_68":91,"_178":-5,"_69":30,"_179":-5,"_229":279,"_17":280},{"_36":271,"_13":272,"_65":273,"_46":89,"_38":39,"_175":84,"_176":24,"_40":274,"_42":26,"_68":102,"_178":275,"_69":30,"_179":-5,"_229":276,"_17":277},{"_36":263,"_13":264,"_65":265,"_46":89,"_38":39,"_175":266,"_176":24,"_40":267,"_42":26,"_68":102,"_178":268,"_69":30,"_179":-5,"_229":269,"_17":270},{"_36":255,"_13":256,"_65":257,"_46":89,"_38":39,"_175":258,"_176":24,"_40":259,"_42":26,"_68":102,"_178":260,"_69":30,"_179":-5,"_229":261,"_17":262},{"_36":193,"_13":67,"_65":66,"_46":103,"_38":39,"_175":43,"_176":24,"_40":252,"_42":26,"_68":21,"_178":195,"_69":30,"_179":-5,"_229":253,"_17":254},{"_36":189,"_13":101,"_65":100,"_46":103,"_38":39,"_175":94,"_176":24,"_40":249,"_42":26,"_68":102,"_178":191,"_69":30,"_179":-5,"_229":250,"_17":251},{"_36":185,"_13":81,"_65":80,"_46":103,"_38":39,"_175":75,"_176":24,"_40":246,"_42":26,"_68":21,"_178":187,"_69":30,"_179":-5,"_229":247,"_17":248},{"_36":242,"_13":241,"_65":235,"_46":-5,"_38":39,"_175":236,"_176":24,"_40":243,"_42":26,"_68":91,"_178":-5,"_69":30,"_179":-5,"_229":244,"_17":245},{"_36":232,"_13":233,"_65":234,"_46":235,"_38":39,"_175":236,"_176":24,"_40":237,"_42":26,"_68":102,"_178":238,"_69":30,"_179":-5,"_229":239,"_17":240},{"_36":224,"_13":225,"_65":226,"_46":-5,"_38":39,"_175":202,"_176":24,"_40":227,"_42":26,"_68":21,"_178":228,"_69":30,"_179":-5,"_229":230,"_17":231},"85f70e8a-37a7-11f0-9483-9e149126039e","README.md","85f70f52-37a7-11f0-9483-9e149126039e",["D",1747985309507],"# ChatGPT Clone\n\nA complete ChatGPT-like interface built with React and Hono, featuring:\n\n- Modern ChatGPT-style UI with dark theme\n- Real-time chat interface\n- Message history\n- Typing indicators\n- Responsive design\n- OpenAI GPT integration\n\n## Project Structure\n\n```\n├── backend/\n│ └── index.ts # Main Hono server with API routes\n├── frontend/\n│ ├── components/\n│ │ ├── App.tsx # Main chat application\n│ │ ├── ChatMessage.tsx # Individual message component\n│ │ └── ChatInput.tsx # Message input component\n│ ├── index.html # Main HTML template\n│ ├── index.tsx # Frontend entry point\n│ └── style.css # Custom styles\n├── shared/\n│ └── types.ts # Shared TypeScript types\n└── README.md\n```\n\n## Features\n\n- **Chat Interface**: Clean, modern design matching ChatGPT's appearance\n- **Message History**: Persistent conversation history\n- **Real-time Responses**: Streaming-like response display\n- **Responsive Design**: Works on desktop and mobile\n- **Dark Theme**: Modern dark theme similar to ChatGPT\n\n## Setup\n\n1. Set your OpenAI API key in environment variables as `OPENAI_API_KEY`\n2. The app will be available at the HTTP endpoint\n\n## Usage\n\nSimply start typing in the chat input and press Enter or click Send to get AI responses.","children",[],[225],"88a090e8-37a7-11f0-9b65-9e149126039e","types.ts","88a091ba-37a7-11f0-9b65-9e149126039e","ac6770b9-b12d-4570-bc21-3f034f4639f4",2,["D",1747985313969],"export interface ChatMessage {\n id: string;\n role: 'user' | 'assistant';\n content: string;\n timestamp: number;\n}\n\nexport interface ChatRequest {\n message: string;\n conversationId?: string;\n}\n\nexport interface ChatResponse {\n message: ChatMessage;\n conversationId: string;\n}\n\nexport interface Conversation {\n id: string;\n messages: ChatMessage[];\n createdAt: number;\n updatedAt: number;\n}",[],[241,233],"shared","88a0b208-37a7-11f0-9b65-9e149126039e",["D",1747985313969],[222],[241],["D",1747985370748],[],[18,81],["D",1747985414273],[],[18,101],["D",1747985344021],[],[18,67],"bb39565c-37a7-11f0-a033-9e149126039e","ChatMessage.tsx","bb395724-37a7-11f0-a033-9e149126039e",7,["D",1747985398860],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React from 'https://esm.sh/react@18.2.0';\nimport type { ChatMessage } from '../../shared/types.ts';\n\ninterface ChatMessageProps {\n message: ChatMessage;\n}\n\nexport function ChatMessageComponent({ message }: ChatMessageProps) {\n const formatContent = (content: string) => {\n // Simple markdown-like formatting\n return content\n .split('\\n')\n .map((line, index) => (\n \n {line}\n {index < content.split('\\n').length - 1 &&
}\n \n ));\n };\n\n return (\n

\n {formatContent(message.content)}\n

\n );\n}",[],[18,90,256],"c2233c12-37a7-11f0-ab87-9e149126039e","ChatInput.tsx","c2233cbc-37a7-11f0-ab87-9e149126039e",8,["D",1747985410459],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React, { useState, useRef, useEffect } from 'https://esm.sh/react@18.2.0';\n\ninterface ChatInputProps {\n onSendMessage: (message: string) => void;\n disabled?: boolean;\n}\n\nexport function ChatInput({ onSendMessage, disabled = false }: ChatInputProps) {\n const [message, setMessage] = useState('');\n const textareaRef = useRef(null);\n\n const handleSubmit = (e: React.FormEvent) => {\n e.preventDefault();\n if (message.trim() && !disabled) {\n onSendMessage(message);\n setMessage('');\n if (textareaRef.current) {\n textareaRef.current.style.height = 'auto';\n }\n }\n };\n\n const handleKeyDown = (e: React.KeyboardEvent) => {\n if (e.key === 'Enter' && !e.shiftKey) {\n e.preventDefault();\n handleSubmit(e);\n }\n };\n\n const handleInputChange = (e: React.ChangeEvent) => {\n setMessage(e.target.value);\n \n // Auto-resize textarea\n if (textareaRef.current) {\n textareaRef.current.style.height = 'auto';\n textareaRef.current.style.height = `${Math.min(textareaRef.current.scrollHeight, 120)}px`;\n }\n };\n\n useEffect(() => {\n if (textareaRef.current) {\n textareaRef.current.focus();\n }\n }, []);\n\n return (\n

\n );\n}",[],[18,90,264],"b77fe6a2-37a7-11f0-bef4-9e149126039e","App.tsx","b77fe760-37a7-11f0-bef4-9e149126039e",["D",1747985392611],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React, { useState, useEffect, useRef } from 'https://esm.sh/react@18.2.0';\nimport type { ChatMessage, ChatRequest, ChatResponse } from '../../shared/types.ts';\nimport { ChatMessageComponent } from './ChatMessage.tsx';\nimport { ChatInput } from './ChatInput.tsx';\n\nexport function App() {\n const [messages, setMessages] = useState([]);\n const [isLoading, setIsLoading] = useState(false);\n const [conversationId, setConversationId] = useState(null);\n const messagesEndRef = useRef(null);\n\n const scrollToBottom = () => {\n messagesEndRef.current?.scrollIntoView({ behavior: 'smooth' });\n };\n\n useEffect(() => {\n scrollToBottom();\n }, [messages]);\n\n const sendMessage = async (content: string) => {\n if (!content.trim() || isLoading) return;\n\n const userMessage: ChatMessage = {\n id: `msg_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,\n role: 'user',\n content: content.trim(),\n timestamp: Date.now()\n };\n\n setMessages(prev => [...prev, userMessage]);\n setIsLoading(true);\n\n try {\n const request: ChatRequest = {\n message: content.trim(),\n conversationId: conversationId || undefined\n };\n\n const response = await fetch('/api/chat', {\n method: 'POST',\n headers: {\n 'Content-Type': 'application/json',\n },\n body: JSON.stringify(request),\n });\n\n if (!response.ok) {\n throw new Error('Failed to send message');\n }\n\n const data: ChatResponse = await response.json();\n \n setMessages(prev => [...prev, data.message]);\n setConversationId(data.conversationId);\n } catch (error) {\n console.error('Error sending message:', error);\n const errorMessage: ChatMessage = {\n id: `msg_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,\n role: 'assistant',\n content: 'Sorry, I encountered an error. Please try again.',\n timestamp: Date.now()\n };\n setMessages(prev => [...prev, errorMessage]);\n } finally {\n setIsLoading(false);\n }\n };\n\n const handleExampleClick = (prompt: string) => {\n sendMessage(prompt);\n };\n\n const examplePrompts = [\n {\n title: \"Explain quantum computing\",\n description: \"in simple terms\"\n },\n {\n title: \"Write a creative story\",\n description: \"about a time-traveling detective\"\n },\n {\n title: \"Help me plan\",\n description: \"a productive morning routine\"\n },\n {\n title: \"Explain the concept\",\n description: \"of machine learning to a beginner\"\n }\n ];\n\n return (\n

ChatGPT Clone

\n \n

\n {messages.length === 0 ? (\n

How can I help you today?

\n Start a conversation by typing a message or try one of these examples:\n

\n {examplePrompts.map((prompt, index) => (\n handleExampleClick(prompt.title + \" \" + prompt.description)}\n >\n

{prompt.title}

{prompt.description}

\n ))}\n

\n ) : (\n <>\n {messages.map((message) => (\n \n ))}\n {isLoading && (\n

\n Thinking\n

\n )}\n \n )}\n

\n \n \n

\n );\n}",[],[18,90,272],["D",1747985392611],[215,216,217],[18,90],["D",1747985344021],[214,218,219,220],[18],"0be2356a-37a8-11f0-80a5-9e149126039e","index.ts","c74e2adf-fbaa-4ca2-b63b-7a80065a927f",["D",1747985534180],3,"http","import { Hono } from \"https://esm.sh/hono@3.11.7\";\nimport { OpenAI } from \"https://esm.town/v/std/openai\";\nimport { blob } from \"https://esm.town/v/std/blob\";\nimport { readFile, serveFile } from \"https://esm.town/v/std/utils@85-main/index.ts\";\nimport type { ChatMessage, ChatRequest, ChatResponse, Conversation } from \"../shared/types.ts\";\n\nconst app = new Hono();\n\n// Unwrap Hono errors to see original error details\napp.onError((err, c) => {\n console.error(\"Hono error:\", err);\n return c.json({ error: err.message }, 500);\n});\n\nconst openai = new OpenAI();\n\n// Serve static files\napp.get(\"/frontend/*\", c => serveFile(c.req.path, import.meta.url));\napp.get(\"/shared/*\", c => serveFile(c.req.path, import.meta.url));\n\n// Serve main page\napp.get(\"/\", async c => {\n let html = await readFile(\"/frontend/index.html\", import.meta.url);\n return c.html(html);\n});\n\n// Get conversation history\napp.get(\"/api/conversations/:id\", async c => {\n const conversationId = c.req.param(\"id\");\n try {\n const conversation = await blob.getJSON(`conversation_${conversationId}`) as Conversation;\n return c.json(conversation);\n } catch (error) {\n return c.json({ error: \"Conversation not found\" }, 404);\n }\n});\n\n// Send a chat message\napp.post(\"/api/chat\", async c => {\n try {\n console.log(\"Received chat request\");\n const { message, conversationId }: ChatRequest = await c.req.json();\n console.log(\"Message:\", message, \"ConversationId:\", conversationId);\n \n if (!message || message.trim().length === 0) {\n return c.json({ error: \"Message cannot be empty\" }, 400);\n }\n \n // Generate conversation ID if not provided\n const convId = conversationId || `conv_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`;\n console.log(\"Using conversation ID:\", convId);\n \n // Get existing conversation or create new one\n let conversation: Conversation;\n try {\n conversation = await blob.getJSON(`conversation_${convId}`) as Conversation;\n console.log(\"Loaded existing conversation with\", conversation.messages.length, \"messages\");\n } catch {\n conversation = {\n id: convId,\n messages: [],\n createdAt: Date.now(),\n updatedAt: Date.now()\n };\n console.log(\"Created new conversation\");\n }\n \n // Add user message\n const userMessage: ChatMessage = {\n id: `msg_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,\n role: 'user',\n content: message.trim(),\n timestamp: Date.now()\n };\n \n conversation.messages.push(userMessage);\n console.log(\"Added user message\");\n \n // Prepare messages for OpenAI (limit to last 10 messages to avoid token limits)\n const recentMessages = conversation.messages.slice(-10);\n const openaiMessages = recentMessages.map(msg => ({\n role: msg.role as \"user\" | \"assistant\",\n content: msg.content\n }));\n \n console.log(\"Calling OpenAI with\", openaiMessages.length, \"messages\");\n \n // Get AI response\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o-mini\",\n messages: openaiMessages,\n max_tokens: 1000,\n temperature: 0.7,\n });\n \n console.log(\"OpenAI response received\");\n \n const aiContent = completion.choices[0]?.message?.content;\n if (!aiContent) {\n throw new Error(\"No content in OpenAI response\");\n }\n \n const assistantMessage: ChatMessage = {\n id: `msg_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,\n role: 'assistant',\n content: aiContent,\n timestamp: Date.now()\n };\n \n conversation.messages.push(assistantMessage);\n conversation.updatedAt = Date.now();\n \n console.log(\"Saving conversation\");\n // Save conversation\n await blob.setJSON(`conversation_${convId}`, conversation);\n \n const response: ChatResponse = {\n message: assistantMessage,\n conversationId: convId\n };\n \n console.log(\"Sending response\");\n return c.json(response);\n } catch (error) {\n console.error(\"Chat error:\", error);\n return c.json({ \n error: \"Failed to process chat message\", \n details: error.message \n }, 500);\n }\n});\n\n// List recent conversations\napp.get(\"/api/conversations\", async c => {\n try {\n const keys = await blob.list(\"conversation_\");\n const conversations = await Promise.all(\n keys.slice(0, 10).map(async key => {\n try {\n const conv = await blob.getJSON(key) as Conversation;\n return {\n id: conv.id,\n lastMessage: conv.messages[conv.messages.length - 1]?.content.slice(0, 50) + \"...\" || \"New conversation\",\n updatedAt: conv.updatedAt\n };\n } catch {\n return null;\n }\n })\n );\n \n return c.json(conversations.filter(Boolean).sort((a, b) => b!.updatedAt - a!.updatedAt));\n } catch (error) {\n console.error(\"Error fetching conversations:\", error);\n return c.json([]);\n }\n});\n\nexport default app.fetch;",[],[293,285],"backend","956933a2-37a7-11f0-b0cf-9e149126039e",["D",1747985335418],[212],[293],["D",1747985260013],{"_11":12,"_152":72},{"_11":12,"_148":-5,"_71":72,"_31":70,"_149":150,"_151":30},{"_42":139,"_13":16,"_36":39,"_140":105,"_141":-5,"_142":-5,"_143":-5,"_144":-5,"_145":-5,"_146":14,"_147":12},"ctx",{"_55":-5,"_171":335,"_336":337,"_338":339,"_340":30,"_341":30,"_342":30,"_343":24,"_344":-5,"_345":-7,"_346":-7,"_347":26,"_348":30,"_349":30,"_350":-5,"_351":30,"_352":30,"_353":30,"_354":-5},"ENV",{"_306":307,"_308":309,"_310":16,"_311":312,"_313":314,"_315":316,"_317":318,"_319":320,"_321":322,"_323":324,"_325":326,"_327":328,"_329":330,"_331":332,"_333":334},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","a3e067d4463eea85f6334f8e583e8516ae58c4f6","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"]

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