\n \n\n",[19,69],"b7800bc8-37a7-11f0-bef4-9e149126039e","components","aa003fe4-3fd3-4999-9d3e-fbb99bcc946d",6,["D",1747985392611],"directory",[19,76],"9a89a02e-37a7-11f0-94b0-9e149126039e",["D",1747985344021],[19],{"_37":158,"_13":159,"_40":160,"_42":-5,"_44":45,"_46":161,"_48":49,"_50":162,"_17":52,"_53":80,"_54":-5,"_56":57,"_58":-5,"_95":163,"_18":164},{"_37":82,"_13":19,"_40":43,"_42":-5,"_44":45,"_46":71,"_48":49,"_50":113,"_17":52,"_53":80,"_54":-5,"_56":57,"_58":-5,"_95":114,"_18":115},{"_37":98,"_13":99,"_40":100,"_42":-5,"_44":45,"_46":101,"_48":49,"_50":102,"_17":52,"_53":80,"_54":-5,"_56":57,"_58":-5,"_95":103,"_18":104},{"_37":89,"_13":90,"_40":91,"_42":-5,"_44":45,"_46":92,"_48":49,"_50":93,"_17":52,"_53":24,"_54":94,"_56":57,"_58":-5,"_95":96,"_18":97},"85f70e8a-37a7-11f0-9483-9e149126039e","README.md","85f70f52-37a7-11f0-9483-9e149126039e",1,["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",[],[90],"88a0b208-37a7-11f0-9b65-9e149126039e","shared","ac6770b9-b12d-4570-bc21-3f034f4639f4",2,["D",1747985313969],[105],[99],{"_37":106,"_13":107,"_40":108,"_42":100,"_44":45,"_46":101,"_48":49,"_50":109,"_17":52,"_53":65,"_54":110,"_56":57,"_58":-5,"_95":111,"_18":112},"88a090e8-37a7-11f0-9b65-9e149126039e","types.ts","88a091ba-37a7-11f0-9b65-9e149126039e",["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}",[],[99,107],["D",1747985344021],[116,117,118,119],[19],{"_37":75,"_13":76,"_40":77,"_42":43,"_44":45,"_46":78,"_48":49,"_50":129,"_17":52,"_53":80,"_54":-5,"_56":57,"_58":-5,"_95":130,"_18":131},{"_37":68,"_13":69,"_40":70,"_42":43,"_44":45,"_46":71,"_48":49,"_50":126,"_17":52,"_53":24,"_54":73,"_56":57,"_58":-5,"_95":127,"_18":128},{"_37":60,"_13":61,"_40":62,"_42":43,"_44":45,"_46":63,"_48":49,"_50":123,"_17":52,"_53":65,"_54":66,"_56":57,"_58":-5,"_95":124,"_18":125},{"_37":38,"_13":39,"_40":41,"_42":43,"_44":45,"_46":47,"_48":49,"_50":120,"_17":52,"_53":24,"_54":55,"_56":57,"_58":-5,"_95":121,"_18":122},["D",1747985370748],[],[19,39],["D",1747985414273],[],[19,61],["D",1747985344021],[],[19,69],["D",1747985392611],[132,133,134],[19,76],{"_37":151,"_13":152,"_40":153,"_42":77,"_44":45,"_46":78,"_48":49,"_50":154,"_17":52,"_53":65,"_54":155,"_56":57,"_58":-5,"_95":156,"_18":157},{"_37":143,"_13":144,"_40":145,"_42":77,"_44":45,"_46":146,"_48":49,"_50":147,"_17":52,"_53":65,"_54":148,"_56":57,"_58":-5,"_95":149,"_18":150},{"_37":135,"_13":136,"_40":137,"_42":77,"_44":45,"_46":138,"_48":49,"_50":139,"_17":52,"_53":65,"_54":140,"_56":57,"_58":-5,"_95":141,"_18":142},"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}",[],[19,76,136],"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}",[],[19,76,144],"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}",[],[19,76,152],"956933a2-37a7-11f0-b0cf-9e149126039e","backend","c74e2adf-fbaa-4ca2-b63b-7a80065a927f",3,["D",1747985335418],[165],[159],{"_37":166,"_13":167,"_40":168,"_42":160,"_44":45,"_46":169,"_48":49,"_50":170,"_17":161,"_53":171,"_54":172,"_56":57,"_58":-5,"_95":173,"_18":174},"0be2356a-37a8-11f0-80a5-9e149126039e","index.ts","95692826-37a7-11f0-b0cf-9e149126039e",12,["D",1747985534180],"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 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