Loading conversation...

\n );\n }\n\n return (\n

\n {/* Messages Area */}\n

\n {state.currentConversation?.messages.length === 0 || !state.currentConversation ? (\n // Welcome Screen\n

\n \n

\n Welcome to Nelson-GPT\n

\n Your AI-powered medical assistant based on the Nelson Textbook of Pediatrics. \n Ask questions about pediatric medicine, get evidence-based answers, and explore medical knowledge.\n

\n \n {/* Sample Questions */}\n

Clinical Questions

• Fever management in infants
• Asthma treatment protocols
• Growth chart interpretation

Educational Topics

• Developmental milestones
• Vaccination schedules
• Differential diagnoses

\n\n {/* Medical Disclaimer */}\n

\n \n

Medical Disclaimer

\n This tool is for educational purposes only. Always consult current medical literature and follow institutional protocols for patient care.\n

\n ) : (\n // Message List\n \n )}\n \n {/* Typing Indicator */}\n {state.isStreaming && }\n \n {/* Scroll anchor */}\n

\n\n {/* Message Input */}\n \n

\n );\n};\n\nexport default ChatInterface;",[],[233,240,247,254],{"_103":261,"_95":262,"_152":263,"_154":248,"_155":137,"_156":264,"_158":159,"_105":265,"_100":32,"_161":180,"_163":266,"_164":22,"_165":-5,"_166":267,"_98":268},"4995a11a-409c-11f0-bd57-76b3cceeab13","MessageList.tsx","4995a1ce-409c-11f0-bd57-76b3cceeab13",19,["D",1748970044204],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React from 'react';\nimport MessageBubble from './MessageBubble.tsx';\nimport { ChatMessage } from '../providers/AppProvider.tsx';\n\ninterface MessageListProps {\n messages: ChatMessage[];\n isStreaming: boolean;\n}\n\nconst MessageList: React.FC = ({ messages, isStreaming }) => {\n return (\n

\n {messages.map((message, index) => (\n \n ))}\n

\n );\n};\n\nexport default MessageList;",[],[233,240,247,262],[233,240,247],{"_103":271,"_95":272,"_152":273,"_154":241,"_155":137,"_156":274,"_158":159,"_105":275,"_100":32,"_161":162,"_163":-5,"_164":22,"_165":-5,"_166":276,"_98":303},"f4a1938a-409b-11f0-9188-76b3cceeab13","Layout","16f3de78-c812-498d-aae8-6a2a5ad6258b",14,["D",1748969901670],[277,286,294],{"_103":278,"_95":279,"_152":280,"_154":273,"_155":137,"_156":281,"_158":159,"_105":282,"_100":32,"_161":180,"_163":283,"_164":22,"_165":-5,"_166":284,"_98":285},"07ec9534-409c-11f0-9134-76b3cceeab13","Header.tsx","07ec95e8-409c-11f0-9134-76b3cceeab13",15,["D",1748969934044],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React from 'react';\nimport { useLocation, useNavigate } from 'react-router-dom';\nimport { useApp } from '../providers/AppProvider.tsx';\n\nconst Header: React.FC = () => {\n const { state, dispatch } = useApp();\n const location = useLocation();\n const navigate = useNavigate();\n\n const getPageTitle = () => {\n switch (location.pathname) {\n case '/chat':\n return state.currentConversation?.title || 'New Conversation';\n case '/history':\n return 'Conversation History';\n case '/settings':\n return 'Settings';\n case '/help':\n return 'Help & Documentation';\n case '/profile':\n return 'Profile';\n default:\n if (location.pathname.startsWith('/chat/')) {\n return state.currentConversation?.title || 'Conversation';\n }\n return 'Nelson-GPT';\n }\n };\n\n const handleNewChat = () => {\n dispatch({ type: 'SET_CURRENT_CONVERSATION', payload: null });\n navigate('/chat');\n };\n\n return (\n

\n {/* Left Section */}\n

\n {/* Mobile Menu Button */}\n dispatch({ type: 'SET_SIDEBAR_OPEN', payload: !state.sidebarOpen })}\n className=\"lg:hidden p-2 rounded-md text-gray-600 dark:text-gray-400 hover:bg-gray-100 dark:hover:bg-gray-700 focus:outline-none focus:ring-2 focus:ring-blue-500\"\n >\n \n \n\n {/* Page Title */}\n

\n {getPageTitle()}\n

\n\n {/* Center Section - Streaming Indicator */}\n {state.isStreaming && (\n

\n \n \n \n

\n AI is thinking...\n

\n )}\n\n {/* Right Section */}\n

\n {/* New Chat Button */}\n {location.pathname.startsWith('/chat') && (\n \n \n \n )}\n\n {/* Theme Toggle */}\n {\n const currentTheme = state.userPreferences?.ui_theme || 'light';\n const newTheme = currentTheme === 'light' ? 'dark' : 'light';\n const updatedPreferences = {\n ...state.userPreferences,\n ui_theme: newTheme,\n user_id: state.userPreferences?.user_id || 'anonymous'\n };\n dispatch({ type: 'SET_USER_PREFERENCES', payload: updatedPreferences });\n }}\n className=\"p-2 rounded-md text-gray-600 dark:text-gray-400 hover:bg-gray-100 dark:hover:bg-gray-700 focus:outline-none focus:ring-2 focus:ring-blue-500\"\n title=\"Toggle Theme\"\n >\n {state.userPreferences?.ui_theme === 'dark' ? (\n \n ) : (\n \n )}\n \n\n {/* Settings Button */}\n navigate('/settings')}\n className=\"p-2 rounded-md text-gray-600 dark:text-gray-400 hover:bg-gray-100 dark:hover:bg-gray-700 focus:outline-none focus:ring-2 focus:ring-blue-500\"\n title=\"Settings\"\n >\n \n \n

\n );\n};\n\nexport default Header;",[],[233,240,272,279],{"_103":287,"_95":288,"_152":289,"_154":273,"_155":137,"_156":274,"_158":159,"_105":290,"_100":32,"_161":180,"_163":291,"_164":22,"_165":-5,"_166":292,"_98":293},"f4a18bce-409b-11f0-9188-76b3cceeab13","Layout.tsx","f4a18c78-409b-11f0-9188-76b3cceeab13",["D",1748969901670],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React from 'react';\nimport { Outlet } from 'react-router-dom';\nimport { useApp } from '../providers/AppProvider.tsx';\nimport Header from './Header.tsx';\nimport Sidebar from './Sidebar.tsx';\n\nconst Layout: React.FC = () => {\n const { state } = useApp();\n\n return (\n

\n {/* Sidebar */}\n \n \n {/* Main Content Area */}\n

\n {/* Header */}\n

\n \n {/* Main Content */}\n

\n \n

\n \n {/* Sidebar Overlay for Mobile */}\n {state.sidebarOpen && (\n

state.dispatch({ type: 'SET_SIDEBAR_OPEN', payload: false })}\n />\n )}\n

\n );\n};\n\nexport default Layout;",[],[233,240,272,288],{"_103":295,"_95":296,"_152":297,"_154":273,"_155":137,"_156":298,"_158":159,"_105":299,"_100":32,"_161":180,"_163":300,"_164":22,"_165":-5,"_166":301,"_98":302},"1b973e2c-409c-11f0-a73c-76b3cceeab13","Sidebar.tsx","1b973eea-409c-11f0-a73c-76b3cceeab13",16,["D",1748969967040],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React from 'react';\nimport { NavLink, useNavigate } from 'react-router-dom';\nimport { useApp } from '../providers/AppProvider.tsx';\n\nconst Sidebar: React.FC = () => {\n const { state, dispatch } = useApp();\n const navigate = useNavigate();\n\n const handleNewChat = () => {\n dispatch({ type: 'SET_CURRENT_CONVERSATION', payload: null });\n navigate('/chat');\n // Close sidebar on mobile\n dispatch({ type: 'SET_SIDEBAR_OPEN', payload: false });\n };\n\n const handleConversationClick = (conversation: any) => {\n dispatch({ type: 'SET_CURRENT_CONVERSATION', payload: conversation });\n navigate(`/chat/${conversation.id}`);\n // Close sidebar on mobile\n dispatch({ type: 'SET_SIDEBAR_OPEN', payload: false });\n };\n\n const navItems = [\n {\n to: '/chat',\n icon: (\n \n ),\n label: 'Chat',\n },\n {\n to: '/history',\n icon: (\n \n ),\n label: 'History',\n },\n {\n to: '/profile',\n icon: (\n \n ),\n label: 'Profile',\n },\n {\n to: '/help',\n icon: (\n \n ),\n label: 'Help',\n },\n ];\n\n // Get recent conversations (last 10)\n const recentConversations = state.conversations.slice(0, 10);\n\n return (\n <>\n {/* Sidebar */}\n

\n {/* Logo/Brand */}\n

\n \n

Nelson-GPT

Medical AI Assistant

\n\n {/* New Chat Button */}\n

\n \n \n New Conversation\n \n

\n\n {/* Navigation */}\n

\n {navItems.map((item) => (\n \n `flex items-center px-3 py-2 rounded-lg text-sm font-medium transition-colors duration-200 ${\n isActive\n ? 'bg-blue-100 dark:bg-blue-900 text-blue-700 dark:text-blue-300'\n : 'text-gray-700 dark:text-gray-300 hover:bg-gray-100 dark:hover:bg-gray-700'\n }`\n }\n onClick={() => dispatch({ type: 'SET_SIDEBAR_OPEN', payload: false })}\n >\n {item.icon}\n {item.label}\n \n ))}\n

\n\n {/* Recent Conversations */}\n {recentConversations.length > 0 && (\n

\n Recent Conversations\n

\n {recentConversations.map((conversation) => (\n handleConversationClick(conversation)}\n className={`w-full text-left px-3 py-2 rounded-lg text-sm transition-colors duration-200 ${\n state.currentConversation?.id === conversation.id\n ? 'bg-blue-100 dark:bg-blue-900 text-blue-700 dark:text-blue-300'\n : 'text-gray-600 dark:text-gray-400 hover:bg-gray-100 dark:hover:bg-gray-700'\n }`}\n >\n

\n {conversation.title}\n

\n {new Date(conversation.updated_at).toLocaleDateString()}\n

\n \n ))}\n

\n )}\n\n {/* Footer */}\n

Educational Use Only

\n \n );\n};\n\nexport default Sidebar;",[],[233,240,272,296],[233,240,272],{"_103":305,"_95":306,"_152":307,"_154":241,"_155":137,"_156":308,"_158":159,"_105":309,"_100":32,"_161":162,"_163":-5,"_164":22,"_165":-5,"_166":310,"_98":319},"ed26303e-409b-11f0-8a8c-76b3cceeab13","providers","f3211507-4937-4326-b88f-789ac930bfd3",13,["D",1748969889121],[311],{"_103":312,"_95":313,"_152":314,"_154":307,"_155":137,"_156":308,"_158":159,"_105":315,"_100":32,"_161":180,"_163":316,"_164":22,"_165":-5,"_166":317,"_98":318},"ed26189c-409b-11f0-8a8c-76b3cceeab13","AppProvider.tsx","ed261a86-409b-11f0-8a8c-76b3cceeab13",["D",1748969889121],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React, { createContext, useContext, useReducer, ReactNode } from 'react';\n\n// Types\nexport interface ChatMessage {\n id: string;\n role: 'user' | 'assistant' | 'system';\n content: string;\n timestamp: string;\n sources?: any[];\n streaming?: boolean;\n}\n\nexport interface Conversation {\n id: string;\n title: string;\n messages: ChatMessage[];\n specialty_filter?: string;\n created_at: string;\n updated_at: string;\n}\n\nexport interface UserPreferences {\n user_id: string;\n display_name?: string;\n preferred_specialties: string[];\n ui_theme: 'light' | 'dark';\n streaming_enabled: boolean;\n offline_mode: boolean;\n disclaimer_acknowledged: boolean;\n}\n\nexport interface AppState {\n loading: boolean;\n error: string | null;\n currentConversation: Conversation | null;\n conversations: Conversation[];\n userPreferences: UserPreferences | null;\n isStreaming: boolean;\n sidebarOpen: boolean;\n appInfo: any;\n}\n\n// Actions\ntype AppAction =\n | { type: 'SET_LOADING'; payload: boolean }\n | { type: 'SET_ERROR'; payload: string | null }\n | { type: 'SET_CURRENT_CONVERSATION'; payload: Conversation | null }\n | { type: 'ADD_MESSAGE'; payload: { conversationId: string; message: ChatMessage } }\n | { type: 'UPDATE_MESSAGE'; payload: { conversationId: string; messageId: string; content: string } }\n | { type: 'SET_CONVERSATIONS'; payload: Conversation[] }\n | { type: 'ADD_CONVERSATION'; payload: Conversation }\n | { type: 'UPDATE_CONVERSATION'; payload: Conversation }\n | { type: 'DELETE_CONVERSATION'; payload: string }\n | { type: 'SET_USER_PREFERENCES'; payload: UserPreferences }\n | { type: 'SET_STREAMING'; payload: boolean }\n | { type: 'SET_SIDEBAR_OPEN'; payload: boolean }\n | { type: 'SET_APP_INFO'; payload: any };\n\n// Initial state\nconst initialState: AppState = {\n loading: true,\n error: null,\n currentConversation: null,\n conversations: [],\n userPreferences: null,\n isStreaming: false,\n sidebarOpen: false,\n appInfo: null,\n};\n\n// Reducer\nfunction appReducer(state: AppState, action: AppAction): AppState {\n switch (action.type) {\n case 'SET_LOADING':\n return { ...state, loading: action.payload };\n \n case 'SET_ERROR':\n return { ...state, error: action.payload };\n \n case 'SET_CURRENT_CONVERSATION':\n return { ...state, currentConversation: action.payload };\n \n case 'ADD_MESSAGE': {\n const { conversationId, message } = action.payload;\n \n // Update current conversation if it matches\n let updatedCurrentConversation = state.currentConversation;\n if (state.currentConversation?.id === conversationId) {\n updatedCurrentConversation = {\n ...state.currentConversation,\n messages: [...state.currentConversation.messages, message],\n updated_at: new Date().toISOString(),\n };\n }\n \n // Update conversations list\n const updatedConversations = state.conversations.map(conv => {\n if (conv.id === conversationId) {\n return {\n ...conv,\n messages: [...conv.messages, message],\n updated_at: new Date().toISOString(),\n };\n }\n return conv;\n });\n \n return {\n ...state,\n currentConversation: updatedCurrentConversation,\n conversations: updatedConversations,\n };\n }\n \n case 'UPDATE_MESSAGE': {\n const { conversationId, messageId, content } = action.payload;\n \n // Update current conversation if it matches\n let updatedCurrentConversation = state.currentConversation;\n if (state.currentConversation?.id === conversationId) {\n updatedCurrentConversation = {\n ...state.currentConversation,\n messages: state.currentConversation.messages.map(msg =>\n msg.id === messageId ? { ...msg, content, streaming: false } : msg\n ),\n updated_at: new Date().toISOString(),\n };\n }\n \n // Update conversations list\n const updatedConversations = state.conversations.map(conv => {\n if (conv.id === conversationId) {\n return {\n ...conv,\n messages: conv.messages.map(msg =>\n msg.id === messageId ? { ...msg, content, streaming: false } : msg\n ),\n updated_at: new Date().toISOString(),\n };\n }\n return conv;\n });\n \n return {\n ...state,\n currentConversation: updatedCurrentConversation,\n conversations: updatedConversations,\n };\n }\n \n case 'SET_CONVERSATIONS':\n return { ...state, conversations: action.payload };\n \n case 'ADD_CONVERSATION': {\n const newConversation = action.payload;\n const existingIndex = state.conversations.findIndex(conv => conv.id === newConversation.id);\n \n let updatedConversations;\n if (existingIndex >= 0) {\n // Update existing conversation\n updatedConversations = [...state.conversations];\n updatedConversations[existingIndex] = newConversation;\n } else {\n // Add new conversation at the beginning\n updatedConversations = [newConversation, ...state.conversations];\n }\n \n return {\n ...state,\n conversations: updatedConversations,\n currentConversation: newConversation,\n };\n }\n \n case 'UPDATE_CONVERSATION': {\n const updatedConversation = action.payload;\n const updatedConversations = state.conversations.map(conv =>\n conv.id === updatedConversation.id ? updatedConversation : conv\n );\n \n return {\n ...state,\n conversations: updatedConversations,\n currentConversation: state.currentConversation?.id === updatedConversation.id\n ? updatedConversation\n : state.currentConversation,\n };\n }\n \n case 'DELETE_CONVERSATION': {\n const conversationId = action.payload;\n const updatedConversations = state.conversations.filter(conv => conv.id !== conversationId);\n \n return {\n ...state,\n conversations: updatedConversations,\n currentConversation: state.currentConversation?.id === conversationId\n ? null\n : state.currentConversation,\n };\n }\n \n case 'SET_USER_PREFERENCES':\n return { ...state, userPreferences: action.payload };\n \n case 'SET_STREAMING':\n return { ...state, isStreaming: action.payload };\n \n case 'SET_SIDEBAR_OPEN':\n return { ...state, sidebarOpen: action.payload };\n \n case 'SET_APP_INFO':\n return { ...state, appInfo: action.payload };\n \n default:\n return state;\n }\n}\n\n// Context\nconst AppContext = createContext<{\n state: AppState;\n dispatch: React.Dispatch;\n} | null>(null);\n\n// Provider component\nexport const AppProvider: React.FC<{ children: ReactNode }> = ({ children }) => {\n const [state, dispatch] = useReducer(appReducer, initialState);\n\n return (\n \n {children}\n \n );\n};\n\n// Hook to use the app context\nexport const useApp = () => {\n const context = useContext(AppContext);\n if (!context) {\n throw new Error('useApp must be used within an AppProvider');\n }\n return context;\n};\n\n// Utility functions for generating IDs\nexport const generateMessageId = (): string => {\n return 'msg_' + Date.now() + '_' + Math.random().toString(36).substr(2, 9);\n};\n\nexport const generateConversationId = (): string => {\n return 'conv_' + Date.now() + '_' + Math.random().toString(36).substr(2, 9);\n};\n\nexport const generateUserId = (): string => {\n return 'user_' + Date.now() + '_' + Math.random().toString(36).substr(2, 9);\n};",[],[233,240,306,313],[233,240,306],{"_103":321,"_95":322,"_152":323,"_154":241,"_155":137,"_156":242,"_158":159,"_105":324,"_100":32,"_161":180,"_163":325,"_164":22,"_165":-5,"_166":326,"_98":327},"d76a859c-409b-11f0-88e8-76b3cceeab13","App.tsx","d76a865a-409b-11f0-88e8-76b3cceeab13",["D",1748969852658],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React, { useEffect, useState } from 'react';\nimport { Routes, Route, Navigate } from 'react-router-dom';\nimport { useApp } from './providers/AppProvider.tsx';\nimport Layout from './Layout/Layout.tsx';\nimport ChatInterface from './Chat/ChatInterface.tsx';\nimport Settings from './Settings/Settings.tsx';\nimport Help from './Help/Help.tsx';\nimport Profile from './Profile/Profile.tsx';\nimport ConversationHistory from './Chat/ConversationHistory.tsx';\nimport PWAInstallPrompt from './PWA/PWAInstallPrompt.tsx';\nimport OfflineIndicator from './PWA/OfflineIndicator.tsx';\nimport ErrorBoundary from './UI/ErrorBoundary.tsx';\n\nconst App: React.FC = () => {\n const { state, dispatch } = useApp();\n const [isOnline, setIsOnline] = useState(navigator.onLine);\n\n // Handle online/offline status\n useEffect(() => {\n const handleOnline = () => setIsOnline(true);\n const handleOffline = () => setIsOnline(false);\n\n window.addEventListener('online', handleOnline);\n window.addEventListener('offline', handleOffline);\n\n return () => {\n window.removeEventListener('online', handleOnline);\n window.removeEventListener('offline', handleOffline);\n };\n }, []);\n\n // Initialize app data\n useEffect(() => {\n const initializeApp = async () => {\n try {\n // Load user preferences from localStorage\n const savedPreferences = localStorage.getItem('nelson-gpt-preferences');\n if (savedPreferences) {\n const preferences = JSON.parse(savedPreferences);\n dispatch({ type: 'SET_USER_PREFERENCES', payload: preferences });\n }\n\n // Load conversation history from localStorage\n const savedConversations = localStorage.getItem('nelson-gpt-conversations');\n if (savedConversations) {\n const conversations = JSON.parse(savedConversations);\n dispatch({ type: 'SET_CONVERSATIONS', payload: conversations });\n }\n\n // Check for initial data from server\n if (window.__NELSON_INITIAL_DATA__) {\n dispatch({ \n type: 'SET_APP_INFO', \n payload: window.__NELSON_INITIAL_DATA__ \n });\n }\n\n dispatch({ type: 'SET_LOADING', payload: false });\n } catch (error) {\n console.error('Failed to initialize app:', error);\n dispatch({ type: 'SET_ERROR', payload: 'Failed to initialize application' });\n }\n };\n\n initializeApp();\n }, [dispatch]);\n\n // Save preferences to localStorage when they change\n useEffect(() => {\n if (state.userPreferences) {\n localStorage.setItem('nelson-gpt-preferences', JSON.stringify(state.userPreferences));\n }\n }, [state.userPreferences]);\n\n // Save conversations to localStorage when they change\n useEffect(() => {\n if (state.conversations.length > 0) {\n localStorage.setItem('nelson-gpt-conversations', JSON.stringify(state.conversations));\n }\n }, [state.conversations]);\n\n // Apply theme\n useEffect(() => {\n const theme = state.userPreferences?.ui_theme || 'light';\n if (theme === 'dark') {\n document.documentElement.classList.add('dark');\n } else {\n document.documentElement.classList.remove('dark');\n }\n }, [state.userPreferences?.ui_theme]);\n\n if (state.loading) {\n return (\n

Loading Nelson-GPT...

\n );\n }\n\n return (\n \n

\n {/* Offline Indicator */}\n {!isOnline && }\n \n {/* PWA Install Prompt */}\n \n \n {/* Main App Routes */}\n \n }>\n } />\n } />\n } />\n } />\n } />\n } />\n } />\n \n \n {/* Catch-all route */}\n } />\n \n \n {/* Global Error Display */}\n {state.error && (\n

\n \n {state.error}\n dispatch({ type: 'SET_ERROR', payload: null })}\n className=\"ml-2 text-white hover:text-gray-200\"\n >\n ×\n \n

\n )}\n

\n \n );\n};\n\nexport default App;",[],[233,240,322],[233,240],{"_103":330,"_95":331,"_152":332,"_154":234,"_155":137,"_156":333,"_158":159,"_105":334,"_100":32,"_161":162,"_163":-5,"_164":22,"_165":-5,"_166":335,"_98":344},"439449f6-409c-11f0-8cd4-76b3cceeab13","services","01ec882f-21d5-449b-b82c-043ed8f3bcd2",18,["D",1748970034127],[336],{"_103":337,"_95":338,"_152":339,"_154":332,"_155":137,"_156":333,"_158":159,"_105":340,"_100":32,"_161":180,"_163":341,"_164":22,"_165":-5,"_166":342,"_98":343},"43943952-409c-11f0-8cd4-76b3cceeab13","chatService.ts","43943a06-409c-11f0-8cd4-76b3cceeab13",["D",1748970034127],"interface ChatRequest {\n message: string;\n conversationId?: string;\n userId?: string;\n specialtyFilter?: string;\n streamResponse?: boolean;\n onStreamChunk?: (chunk: any) => void;\n signal?: AbortSignal;\n}\n\ninterface ChatResponse {\n message: any;\n conversationId: string;\n sources?: any[];\n}\n\nclass ChatService {\n private baseUrl: string;\n\n constructor() {\n this.baseUrl = window.location.origin;\n }\n\n async sendMessage(request: ChatRequest): Promise {\n const {\n message,\n conversationId,\n userId,\n specialtyFilter,\n streamResponse = true,\n onStreamChunk,\n signal\n } = request;\n\n const response = await fetch(`${this.baseUrl}/api/chat`, {\n method: 'POST',\n headers: {\n 'Content-Type': 'application/json',\n },\n body: JSON.stringify({\n message,\n conversationId,\n userId,\n specialtyFilter,\n streamResponse,\n }),\n signal,\n });\n\n if (!response.ok) {\n const errorData = await response.json().catch(() => ({}));\n throw new Error(errorData.error || `HTTP ${response.status}: ${response.statusText}`);\n }\n\n if (streamResponse && onStreamChunk) {\n return this.handleStreamResponse(response, onStreamChunk);\n } else {\n return await response.json();\n }\n }\n\n private async handleStreamResponse(\n response: Response,\n onStreamChunk: (chunk: any) => void\n ): Promise {\n const reader = response.body?.getReader();\n if (!reader) {\n throw new Error('No response body reader available');\n }\n\n const decoder = new TextDecoder();\n let buffer = '';\n let finalResponse: ChatResponse | null = null;\n\n try {\n while (true) {\n const { done, value } = await reader.read();\n \n if (done) break;\n\n buffer += decoder.decode(value, { stream: true });\n const lines = buffer.split('\\n');\n buffer = lines.pop() || '';\n\n for (const line of lines) {\n if (line.startsWith('data: ')) {\n const data = line.slice(6);\n \n if (data === '[DONE]') {\n return finalResponse || { message: null, conversationId: '' };\n }\n\n try {\n const chunk = JSON.parse(data);\n onStreamChunk(chunk);\n\n if (chunk.type === 'message_complete') {\n finalResponse = {\n message: chunk.message,\n conversationId: chunk.conversationId,\n sources: chunk.message.sources,\n };\n }\n } catch (error) {\n console.warn('Failed to parse stream chunk:', data);\n }\n }\n }\n }\n } finally {\n reader.releaseLock();\n }\n\n return finalResponse || { message: null, conversationId: '' };\n }\n\n async getConversation(conversationId: string): Promise {\n const response = await fetch(`${this.baseUrl}/api/chat/conversation/${conversationId}`);\n \n if (!response.ok) {\n if (response.status === 404) {\n return null;\n }\n throw new Error(`Failed to fetch conversation: ${response.statusText}`);\n }\n\n const data = await response.json();\n return data.conversation;\n }\n\n async getUserConversations(userId: string, limit: number = 20): Promise {\n const response = await fetch(\n `${this.baseUrl}/api/chat/conversations/${userId}?limit=${limit}`\n );\n \n if (!response.ok) {\n throw new Error(`Failed to fetch conversations: ${response.statusText}`);\n }\n\n const data = await response.json();\n return data.conversations || [];\n }\n\n async deleteConversation(conversationId: string): Promise {\n const response = await fetch(`${this.baseUrl}/api/chat/conversation/${conversationId}`, {\n method: 'DELETE',\n });\n \n if (!response.ok) {\n throw new Error(`Failed to delete conversation: ${response.statusText}`);\n }\n }\n\n // Health check\n async checkHealth(): Promise {\n try {\n const response = await fetch(`${this.baseUrl}/api/health`);\n return response.ok;\n } catch {\n return false;\n }\n }\n}\n\nexport const chatService = new ChatService();",[],[233,331,338],[233,331],{"_103":346,"_95":347,"_152":348,"_154":234,"_155":137,"_156":349,"_158":159,"_105":350,"_100":32,"_161":351,"_163":352,"_164":22,"_165":-5,"_166":353,"_98":354},"c3c208e4-409b-11f0-a2e8-76b3cceeab13","favicon.svg","c3c209e8-409b-11f0-a2e8-76b3cceeab13",10,["D",1748969819681],"file","",[],[233,347],{"_103":356,"_95":357,"_152":358,"_154":234,"_155":137,"_156":235,"_158":159,"_105":359,"_100":32,"_161":351,"_163":360,"_164":22,"_165":-5,"_166":361,"_98":362},"c0670870-409b-11f0-b642-76b3cceeab13","index.html","c0670906-409b-11f0-b642-76b3cceeab13",["D",1748969814050],"\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Nelson-GPT - Medical AI Assistant\n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \n

\n \n \n

Nelson-GPT

Medical AI Assistant

\n \n \n \n

\n \n \n

\n \n \n \n \n \n \n\n",[],[233,357],{"_103":364,"_95":365,"_152":366,"_154":234,"_155":137,"_156":367,"_158":159,"_105":368,"_100":32,"_161":180,"_163":369,"_164":22,"_165":-5,"_166":370,"_98":371},"c79339b6-409b-11f0-85a8-76b3cceeab13","index.tsx","c7933aba-409b-11f0-85a8-76b3cceeab13",11,["D",1748969826085],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React from 'react';\nimport { createRoot } from 'react-dom/client';\nimport { BrowserRouter } from 'react-router-dom';\nimport App from './components/App.tsx';\nimport { AppProvider } from './components/providers/AppProvider.tsx';\n\n// Initialize the React app\nconst container = document.getElementById('root');\nif (!container) {\n throw new Error('Root container not found');\n}\n\nconst root = createRoot(container);\n\nroot.render(\n \n \n \n \n \n \n \n);",[],[233,365],[233],{"_103":374,"_95":375,"_152":376,"_154":-5,"_155":137,"_156":377,"_158":159,"_105":378,"_100":32,"_161":351,"_163":379,"_164":22,"_165":-5,"_166":380,"_98":381},"4ccf2104-409b-11f0-bb09-76b3cceeab13","README.md","4ccf21b8-409b-11f0-bb09-76b3cceeab13",2,["D",1748969620118],"# Nelson-GPT: Medical AI Assistant\n\nA production-grade Progressive Web App (PWA) that provides a ChatGPT-like interface for medical professionals and students, powered by the Nelson Textbook of Pediatrics through advanced Retrieval-Augmented Generation (RAG).\n\n## 🏥 Features\n\n### Core Functionality\n- **Medical AI Assistant**: Specialized responses based on Nelson Textbook of Pediatrics\n- **RAG Pipeline**: Vector search with Supabase PGVector for evidence-based answers\n- **Real-time Chat**: Streaming responses with typing indicators\n- **Offline Support**: Full PWA with IndexedDB caching\n- **Cross-Platform**: Installable on Android, iOS, and desktop\n\n### User Experience\n- **ChatGPT-like Interface**: Familiar chat experience optimized for medical use\n- **Medical Theming**: Professional healthcare-focused design\n- **Responsive Design**: Optimized for mobile, tablet, and desktop\n- **Accessibility**: WCAG compliant with screen reader support\n\n### Technical Features\n- **Progressive Web App**: Full offline functionality with service worker\n- **Vector Search**: Semantic search through medical content\n- **Real-time Streaming**: Live AI response generation\n- **Local Storage**: Conversation history and user preferences\n- **Error Handling**: Robust fallback mechanisms\n\n## 🏗️ Architecture\n\n### Frontend\n- **React 18** with TypeScript\n- **Tailwind CSS** for styling\n- **React Router** for navigation\n- **IndexedDB** for offline storage\n- **Service Worker** for PWA functionality\n\n### Backend\n- **Hono** API framework\n- **Supabase** with PGVector for vector search\n- **OpenAI/Mistral** for AI responses\n- **Hugging Face** for embeddings\n\n### Database Schema\n```sql\n-- Medical content chunks with embeddings\nCREATE TABLE medical_content (\n id SERIAL PRIMARY KEY,\n content TEXT NOT NULL,\n embedding VECTOR(384),\n chapter VARCHAR(255),\n specialty VARCHAR(100),\n page_reference VARCHAR(50),\n created_at TIMESTAMP DEFAULT NOW()\n);\n\n-- User conversations\nCREATE TABLE conversations (\n id UUID PRIMARY KEY DEFAULT gen_random_uuid(),\n user_id VARCHAR(255),\n title VARCHAR(255),\n messages JSONB,\n created_at TIMESTAMP DEFAULT NOW(),\n updated_at TIMESTAMP DEFAULT NOW()\n);\n```\n\n## 🚀 Getting Started\n\n### Prerequisites\n- Supabase project with PGVector extension\n- OpenAI or Mistral API key\n- Hugging Face API key (optional for server-side embeddings)\n\n### Environment Variables\n```\nSUPABASE_URL=your_supabase_url\nSUPABASE_ANON_KEY=your_supabase_anon_key\nOPENAI_API_KEY=your_openai_key\nHUGGING_FACE_API_KEY=your_hf_key (optional)\n```\n\n### Installation\n1. Set up environment variables in Val Town\n2. Deploy the backend API\n3. Access the PWA at your Val Town URL\n4. Install as PWA on your device\n\n## 📱 PWA Installation\n\n### Mobile (Android/iOS)\n1. Open the app in your mobile browser\n2. Tap \"Add to Home Screen\" or \"Install App\"\n3. Launch from your home screen for full-screen experience\n\n### Desktop\n1. Open the app in Chrome/Edge\n2. Click the install icon in the address bar\n3. Launch from your desktop or start menu\n\n## 🔧 Development\n\n### Project Structure\n```\n├── backend/\n│ ├── database/\n│ │ ├── migrations.ts # Database schema\n│ │ └── queries.ts # Vector search queries\n│ ├── routes/\n│ │ ├── chat.ts # Chat API endpoints\n│ │ ├── embeddings.ts # Embedding generation\n│ │ └── static.ts # Static file serving\n│ └── index.ts # Main API entry point\n├── frontend/\n│ ├── components/\n│ │ ├── Chat/ # Chat interface components\n│ │ ├── Layout/ # App layout components\n│ │ ├── PWA/ # PWA-specific components\n│ │ └── UI/ # Reusable UI components\n│ ├── hooks/ # Custom React hooks\n│ ├── services/ # API and storage services\n│ ├── types/ # TypeScript type definitions\n│ ├── utils/ # Utility functions\n│ ├── index.html # Main HTML template\n│ └── index.tsx # React entry point\n├── shared/\n│ ├── types.ts # Shared type definitions\n│ └── utils.ts # Shared utilities\n└── public/\n ├── manifest.json # PWA manifest\n ├── sw.js # Service worker\n └── icons/ # PWA icons\n```\n\n## 🔒 Security & Compliance\n\n- **Medical Disclaimers**: All responses include appropriate medical disclaimers\n- **Data Privacy**: Local storage with optional cloud sync\n- **HIPAA Considerations**: No PHI storage or transmission\n- **Content Validation**: Responses based on peer-reviewed medical literature\n\n## 📊 Performance\n\n- **Offline First**: Full functionality without internet\n- **Fast Loading**: Optimized bundle size and lazy loading\n- **Efficient Search**: Vector similarity search with caching\n- **Responsive**: <100ms UI interactions\n\n## 🤝 Contributing\n\nThis is a specialized medical AI assistant. Contributions should maintain medical accuracy and professional standards.\n\n## ⚠️ Medical Disclaimer\n\nNelson-GPT is an educational tool for healthcare professionals and students. It is not intended to replace professional medical judgment or provide direct patient care recommendations. 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History for new-file-5265.tsx