\n {/* App Name Section */}\n

MEDIANALIZE

\n\n

\n {imagePreview ? (\n <>\n $\"Preview\"$ \n \n \n ) : (\n

📷 Drag & Drop or Click to Upload Medical Image

\n Supported formats: PNG, JPEG, WEBP\n

\n )}\n \n

\n Age\n setAge(e.target.value)}\n />\n

\n Gender\n \n

\n \n

\n\n

\n {isLoading && (\n

Generating medical insights...

\n )}\n {!isLoading && Object.keys(analysisResult).length > 0 && (\n <>\n {analysisResult.diagnosis && (\n

🩺 Diagnosis

{analysisResult.diagnosis}

\n )}\n {analysisResult.possibleCauses && (\n

🔍 Possible Causes

{cause}

\n )}\n {analysisResult.symptoms && (\n

📋 Symptoms

{symptom}

\n )}\n {analysisResult.treatments && (\n

💊 Suggested Treatments

{treatment}

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

🚨 MEDIANALIZE AI can make mistakes—always consult your doctor.

\n \n )}\n

\n\n {/* Footer Section */}\n \n

\n );\n}\n\nfunction client() {\n createRoot(document.getElementById(\"root\")).render();\n}\nif (typeof document !== \"undefined\") { client(); }\n\nexport default async function server(request: Request): Promise {\n if (request.method === 'POST' && new URL(request.url).pathname === '/analyze') {\n const { OpenAI } = await import(\"https://esm.town/v/std/openai\");\n const openai = new OpenAI();\n\n const body = await request.json();\n const { age, gender } = body;\n\n // Simulate OCR (in real-world, you'd use a proper OCR service)\n const mockOcrResult = \"Medical scan showing potential lung inflammation\";\n\n try {\n const completion = await openai.chat.completions.create({\n messages: [\n { \n role: \"system\", \n content: \"You are a medical AI assistant providing professional medical insights.\" \n },\n { \n role: \"user\", \n content: `Patient Details: Age ${age}, Gender ${gender}\n OCR Result: ${mockOcrResult}\n \n Please provide a comprehensive medical analysis including:\n 1. Potential Diagnosis\n 2. Possible Medical Causes\n 3. Relevant Symptoms\n 4. Suggested Treatments\n\n Be concise and professional.` \n }\n ],\n model: \"gpt-4o-mini\",\n max_tokens: 300,\n });\n\n const analysis = completion.choices[0].message.content;\n const parsedAnalysis = parseAnalysis(analysis);\n\n return new Response(JSON.stringify(parsedAnalysis), {\n headers: { 'Content-Type': 'application/json' }\n });\n } catch (error) {\n console.error('OpenAI Analysis Error:', error);\n return new Response(JSON.stringify({\n diagnosis: 'Unable to generate analysis',\n possibleCauses: ['System error'],\n symptoms: ['N/A'],\n treatments: ['Consult a healthcare professional']\n }), {\n status: 500,\n headers: { 'Content-Type': 'application/json' }\n });\n }\n }\n\n return new Response(`\n \n \n MEDIANALIZE - Medical AI Analyzer\n \n \n \n \n \n

\n \n \n \n \n `, {\n headers: { 'Content-Type': 'text/html' }\n });\n}\n\nfunction parseAnalysis(analysis: string) {\n // Basic parsing of OpenAI response\n const sections = analysis.split('\\n\\n');\n return {\n diagnosis: sections[0]?.replace('Diagnosis: ', ''),\n possibleCauses: sections[1]?.split('\\n').map(cause => cause.replace('- ', '')),\n symptoms: sections[2]?.split('\\n').map(symptom => symptom.replace('- ', '')),\n treatments: sections[3]?.split('\\n').map(treatment => treatment.replace('- ', ''))\n };\n}\n\nconst css = `\n:root {\n --primary-color: #3f51b5;\n --secondary-color: #ff4081;\n --background-color: #f4f4f4;\n --text-color: #333;\n}\n\n* {\n box-sizing: border-box;\n margin: 0;\n padding: 0;\n}\n\nbody {\n font-family: 'Roboto', sans-serif;\n line-height: 1.6;\n color: var(--text-color);\n background-color: var(--background-color);\n}\n\n.medical-ai-container {\n max-width: 900px;\n margin: 20px auto;\n background: white;\n border-radius: 12px;\n box-shadow: 0 10px 25px rgba(0,0,0,0.1);\n overflow: hidden;\n padding: 25px;\n}\n\n.dropzone {\n position: relative;\n border: 3px dashed var(--primary-color);\n border-radius: 12px;\n padding: 40px;\n text-align: center;\n cursor: pointer;\n transition: all 0.3s ease;\n}\n\n.dropzone:hover {\n background-color: rgba(63, 81, 181, 0.05);\n border-color: var(--secondary-color);\n}\n\n.preview-image {\n max-width: 100%;\n max-height: 400px;\n object-fit: contain;\n border-radius: 8px;\n}\n\n.clear-image-btn {\n position: absolute;\n top: 10px;\n right: 10px;\n background: rgba(255,0,0,0.7);\n color: white;\n border: none;\n border-radius: 50%;\n width: 30px;\n height: 30px;\n display: flex;\n align-items: center;\n justify-content: center;\n cursor: pointer;\n}\n\n.patient-info {\n display: flex;\n gap: 15px;\n margin-top: 20px;\n}\n\n.input-group {\n flex: 1;\n display: flex;\n flex-direction: column;\n}\n\n.input-group label {\n margin-bottom: 5px;\n color: var(--primary-color);\n font-weight: 500;\n}\n\n.patient-info input, \n.patient-info select {\n padding: 12px;\n border: 1px solid #ddd;\n border-radius: 8px;\n font-size: 16px;\n}\n\n.analyze-btn {\n padding: 12px 20px;\n background-color: var(--primary-color);\n color: white;\n border: none;\n border-radius: 8px;\n cursor: pointer;\n transition: background-color 0.3s;\n align-self: flex-end;\n}\n\n.analyze-btn:disabled {\n background-color: #a0a0a0;\n cursor: not-allowed;\n}\n\n.analysis-section {\n margin-top: 25px;\n}\n\n.result-card {\n background-color: #f9f9f9;\n border-left: 6px solid var(--primary-color);\n padding: 20px;\n margin-bottom: 15px;\n border-radius: 8px;\n box-shadow: 0 4px 6px rgba(0,0,0,0.05);\n}\n\n.result-card h3 {\n margin-bottom: 10px;\n color: var(--primary-color);\n}\n\n.result-card ul {\n padding-left: 20px;\n}\n\n.loading-spinner {\n display: flex;\n flex-direction: column;\n align-items: center;\n justify-content: center;\n padding: 50px;\n}\n\n.spinner {\n border: 4px solid rgba(63, 81, 181, 0.3);\n border-top: 4px solid var(--primary-color);\n border-radius: 50%;\n width: 50px;\n height: 50px;\n animation: spin 1s linear infinite;\n margin-bottom: 15px;\n}\n\n@keyframes spin {\n 0% { transform: rotate(0deg); }\n 100% { transform: rotate(360deg); }\n}\n\n/* App Name Styles */\n.app-name {\n text-align: center;\n margin-bottom: 25px;\n padding: 15px;\n background-color: var(--primary-color);\n color: white;\n border-radius: 8px;\n}\n\n.app-name h1 {\n font-size: 2.5rem;\n font-weight: bold;\n letter-spacing: 2px;\n}\n\n/* Disclaimer Styles */\n.disclaimer {\n background-color: #fff3cd;\n border: 1px solid #ffeeba;\n color: #856404;\n padding: 15px;\n margin-top: 20px;\n border-radius: 8px;\n text-align: center;\n}\n\n/* Footer Styles */\n.app-footer {\n text-align: center;\n padding: 15px;\n background-color: var(--primary-color);\n color: white;\n margin-top: 25px;\n border-radius: 0 0 8px 8px;\n}\n\n@media (max-width: 680px) {\n .medical-ai-container {\n margin: 10px;\n padding: 15px;\n }\n\n .patient-info {\n flex-direction: column;\n }\n\n .dropzone {\n padding: 20px;\n }\n}\n`;","deleted","subdomain","children",[],[148],{"_106":167,"_99":168,"_149":169,"_151":-5,"_152":138,"_153":156,"_154":120,"_108":170,"_103":33,"_157":171,"_159":172,"_161":27,"_162":-5,"_163":173,"_102":174},"55bfe6ae-035b-11f0-8344-569c3dd06744","README.md","55bfe762-035b-11f0-8344-569c3dd06744",["D",1742235126398],"file","# MEDIANALIZE_PRO",[],[168],{"_106":176,"_99":177,"_149":178,"_151":-5,"_152":138,"_153":179,"_154":120,"_108":180,"_103":156,"_157":158,"_159":181,"_161":27,"_162":-5,"_163":182,"_102":183},"4e2e6554-035c-11f0-a242-569c3dd06744","healthcare.tsx","31e57c52-035c-11f0-9dca-569c3dd06744",7,["D",1742235543193],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport { createRoot } from \"https://esm.sh/react-dom@18.2.0/client\";\nimport React, { useEffect, useState } from \"https://esm.sh/react@18.2.0\";\n\nfunction Logo() {\n return (\n \n );\n}\n\nfunction WelcomeModal({ onClose }) {\n return (\n

\n \n

Welcome to MEDIANALIZE AI

Your intelligent health companion powered by advanced AI technology

Ask health-related questions and get expert insights!

\n \n

\n );\n}\n\nfunction App() {\n const [messages, setMessages] = useState([\n { role: \"system\", content: \"I am your AI health assistant. How can I help you today?\" },\n ]);\n const [inputValue, setInputValue] = useState(\"\");\n const [isLoading, setIsLoading] = useState(false);\n const [error, setError] = useState(null);\n const [showWelcome, setShowWelcome] = useState(true);\n\n const handleSubmit = async (e: React.FormEvent) => {\n e.preventDefault();\n if (!inputValue.trim()) return;\n\n const userMessage = { role: \"user\", content: inputValue };\n const systemMessage = {\n role: \"system\",\n content:\n \"You are a helpful AI health assistant. Provide clear, concise, and medically accurate information. Always recommend consulting a healthcare professional for serious concerns.\",\n };\n\n const updatedMessages = [...messages, userMessage, systemMessage];\n\n setMessages(prev => [...prev, userMessage]);\n setInputValue(\"\");\n setIsLoading(true);\n setError(null);\n\n try {\n const response = await fetch(import.meta.url, {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({\n messages: updatedMessages,\n }),\n });\n\n if (!response.ok) {\n const errorData = await response.json();\n throw new Error(errorData.error || \"Server responded with an error\");\n }\n\n const data = await response.json();\n\n // Validate response structure\n if (!data || !data.message) {\n throw new Error(\"Invalid response from server\");\n }\n\n setMessages(prev => [...prev, {\n role: \"assistant\",\n content: data.message,\n }]);\n } catch (error) {\n console.error(\"Full error:\", error);\n\n const errorMessage = error instanceof Error\n ? error.message\n : \"An unexpected error occurred. Please try again.\";\n\n setError(errorMessage);\n setMessages(prev => [...prev, {\n role: \"system\",\n content: `❌ Error: ${errorMessage}`,\n }]);\n } finally {\n setIsLoading(false);\n }\n };\n\n return (\n

\n {showWelcome && setShowWelcome(false)} />}\n\n

\n \n

MEDIANALIZE

\n\n

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

\n ))}\n {isLoading &&

🩺 Analyzing your query...

}\n {error &&

{error}

}\n

\n\n

\n setInputValue(e.target.value)}\n placeholder=\"Ask a health-related question...\"\n disabled={isLoading}\n />\n \n \n\n \n \n );\n}\n\nfunction client() {\n createRoot(document.getElementById(\"root\")).render();\n}\nif (typeof document !== \"undefined\") { client(); }\n\nexport default async function server(request: Request): Promise {\n // Comprehensive error handling and logging\n console.log(\"Incoming request method:\", request.method);\n\n // Handle CORS preflight requests\n if (request.method === \"OPTIONS\") {\n return new Response(null, {\n headers: {\n \"Access-Control-Allow-Origin\": \"*\",\n \"Access-Control-Allow-Methods\": \"POST, OPTIONS\",\n \"Access-Control-Allow-Headers\": \"Content-Type\",\n },\n });\n }\n\n // Handle POST requests\n if (request.method === \"POST\") {\n try {\n // Safely parse request body\n let body;\n try {\n body = await request.json();\n } catch (parseError) {\n console.error(\"JSON Parsing Error:\", parseError);\n return new Response(\n JSON.stringify({\n error: \"Invalid JSON format\",\n details: String(parseError),\n }),\n {\n status: 400,\n headers: {\n \"Content-Type\": \"application/json\",\n \"Access-Control-Allow-Origin\": \"*\",\n },\n },\n );\n }\n\n console.log(\"Received body:\", JSON.stringify(body, null, 2));\n\n // Validate messages\n if (!body.messages || !Array.isArray(body.messages)) {\n return new Response(\n JSON.stringify({\n error: \"Invalid message format. Expected an array of messages.\",\n }),\n {\n status: 400,\n headers: {\n \"Content-Type\": \"application/json\",\n \"Access-Control-Allow-Origin\": \"*\",\n },\n },\n );\n }\n\n // Dynamically import OpenAI with error handling\n let OpenAI;\n try {\n const module = await import(\"https://esm.town/v/std/openai\");\n OpenAI = module.OpenAI;\n } catch (importError) {\n console.error(\"OpenAI Import Error:\", importError);\n return new Response(\n JSON.stringify({\n error: \"Failed to import OpenAI module\",\n details: String(importError),\n }),\n {\n status: 500,\n headers: {\n \"Content-Type\": \"application/json\",\n \"Access-Control-Allow-Origin\": \"*\",\n },\n },\n );\n }\n\n // Ensure OpenAI is available\n if (!OpenAI) {\n return new Response(\n JSON.stringify({\n error: \"OpenAI module not found\",\n }),\n {\n status: 500,\n headers: {\n \"Content-Type\": \"application/json\",\n \"Access-Control-Allow-Origin\": \"*\",\n },\n },\n );\n }\n\n // Create OpenAI instance\n const openai = new OpenAI();\n\n // Create OpenAI completion with comprehensive error handling\n let completion;\n try {\n completion = await openai.chat.completions.create({\n messages: body.messages,\n model: \"gpt-4o-mini\",\n max_tokens: 300,\n });\n } catch (completionError) {\n console.error(\"OpenAI Completion Error:\", completionError);\n return new Response(\n JSON.stringify({\n error: \"Failed to generate AI response\",\n details: String(completionError),\n }),\n {\n status: 500,\n headers: {\n \"Content-Type\": \"application/json\",\n \"Access-Control-Allow-Origin\": \"*\",\n },\n },\n );\n }\n\n // Validate completion response\n if (!completion || !completion.choices || !completion.choices[0]) {\n return new Response(\n JSON.stringify({\n error: \"No valid response generated by AI\",\n }),\n {\n status: 500,\n headers: {\n \"Content-Type\": \"application/json\",\n \"Access-Control-Allow-Origin\": \"*\",\n },\n },\n );\n }\n\n // Return response with CORS headers\n return new Response(\n JSON.stringify({\n message: completion.choices[0].message.content || \"No response generated.\",\n }),\n {\n headers: {\n \"Content-Type\": \"application/json\",\n \"Access-Control-Allow-Origin\": \"*\",\n },\n },\n );\n } catch (globalError) {\n console.error(\"Unhandled Server Error:\", globalError);\n\n // Catch-all error response\n return new Response(\n JSON.stringify({\n error: \"Unexpected server error\",\n details: String(globalError),\n }),\n {\n status: 500,\n headers: {\n \"Content-Type\": \"application/json\",\n \"Access-Control-Allow-Origin\": \"*\",\n },\n },\n );\n }\n }\n\n // Default HTML response\n return new Response(\n `\n \n \n MEDIANALIZE AI\n \n \">\n \n \n \n \n

\n \n \n \n `,\n {\n headers: {\n \"Content-Type\": \"text/html\",\n \"Access-Control-Allow-Origin\": \"*\",\n },\n },\n );\n}\n\nconst css = `\nbody, html {\n margin: 0;\n padding: 0;\n font-family: 'Arial', sans-serif;\n height: 100%;\n background-color: #f0f4f8;\n color: #333;\n}\n\n.chat-container {\n max-width: 600px;\n margin: 0 auto;\n height: 100vh;\n display: flex;\n flex-direction: column;\n background-color: white;\n box-shadow: 0 0 20px rgba(0,0,0,0.1);\n position: relative;\n}\n\nheader {\n display: flex;\n align-items: center;\n padding: 15px;\n background-color: #4CAF50;\n color: white;\n}\n\nheader h1 {\n margin-left: 15px;\n font-size: 1.5em;\n}\n\n.welcome-modal {\n position: fixed;\n top: 0;\n left: 0;\n width: 100%;\n height: 100%;\n background-color: rgba(0,0,0,0.5);\n display: flex;\n justify-content: center;\n align-items: center;\n z-index: 1000;\n}\n\n.welcome-content {\n background-color: white;\n padding: 30px;\n border-radius: 10px;\n text-align: center;\n max-width: 400px;\n box-shadow: 0 4px 6px rgba(0,0,0,0.1);\n}\n\n.welcome-content button {\n background-color: #4CAF50;\n color: white;\n border: none;\n padding: 10px 20px;\n border-radius: 5px;\n margin-top: 20px;\n cursor: pointer;\n}\n\n.messages {\n flex-grow: 1;\n overflow-y: auto;\n padding: 20px;\n background-color: #f9f9f9;\n}\n\n.message {\n margin-bottom: 15px;\n padding: 12px;\n border-radius: 10px;\n max-width: 80%;\n line-height: 1.5;\n}\n\n.message.user {\n background-color: #4CAF50;\n color: white;\n align-self: flex-end;\n margin-left: auto;\n}\n\n.message.assistant {\n background-color: #e9f5e9;\n color: #333;\n}\n\n.message.system {\n background-color: #f8d7da;\n color: #721c24;\n text-align: center;\n}\n\n.message.loading {\n background-color: #f8f9fa;\n color: #4CAF50;\n text-align: center;\n}\n\n.message.error {\n background-color: #f8d7da;\n color: #721c24;\n text-align: center;\n white-space: pre-wrap;\n word-break: break-word;\n}\n\n.input-area {\n display: flex;\n padding: 15px;\n background-color: #f0f4f8;\n border-top: 1px solid #e0e0e0;\n}\n\n.input-area input {\n flex-grow: 1;\n padding: 12px;\n border: 1px solid #4CAF50;\n border-radius: 5px;\n margin-right: 10px;\n}\n\n.input-area button {\n padding: 12px 20px;\n background-color: #4CAF50;\n color: white;\n border: none;\n border-radius: 5px;\n cursor: pointer;\n transition: background-color 0.3s;\n}\n\n.input-area button:hover:not(:disabled) {\n background-color: #45a049;\n}\n\n.input-area button:disabled {\n background-color: #cccccc;\n cursor: not-allowed;\n}\n\nfooter {\n text-align: center;\n padding: 15px;\n background-color: #4CAF50;\n color: white;\n font-size: 0.8em;\n}\n\n.source-link {\n color: white;\n text-decoration: underline;\n}\n`;",[],[177],{"_106":185,"_99":186,"_149":118,"_151":-5,"_152":138,"_153":187,"_154":120,"_108":188,"_103":94,"_157":158,"_159":189,"_161":27,"_162":-5,"_163":190,"_102":191},"a33aa37e-035b-11f0-9c5a-569c3dd06744","index.tsx",4,["D",1742235256381],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React, { useRef } from \"https://esm.sh/react@18.2.0\";\nimport ReactDOM from \"https://esm.sh/react-dom@18.2.0\";\nimport { createRoot } from \"https://esm.sh/react-dom@18.2.0/client\";\nimport { \n BrowserRouter as Router, \n Routes, \n Route, \n Link \n} from \"https://esm.sh/react-router-dom@6.22.3?deps=react@18.2.0,react-dom@18.2.0\";\n\n// Material UI imports with version pinning\nimport { \n ThemeProvider, \n createTheme \n} from \"https://esm.sh/@mui/material@5.15.14/styles?deps=react@18.2.0\";\nimport { \n Container, \n Button, \n Typography, \n Box, \n Grid,\n Card,\n CardContent,\n CardMedia,\n SvgIcon\n} from \"https://esm.sh/@mui/material@5.15.14?deps=react@18.2.0\";\n\nconst theme = createTheme({\n palette: {\n primary: {\n main: '#0077be', // Medical Blue\n light: '#4eb3ff',\n dark: '#005b8e'\n },\n background: {\n default: '#e6f2ff', // Softer light blue background\n },\n },\n typography: {\n fontFamily: 'Roboto, Arial, sans-serif',\n h3: {\n fontWeight: 700,\n letterSpacing: '-0.5px',\n color: '#005b8e'\n }\n },\n shape: {\n borderRadius: 16\n },\n components: {\n MuiButton: {\n styleOverrides: {\n root: {\n textTransform: 'none',\n transition: 'all 0.3s ease',\n '&:hover': {\n transform: 'translateY(-5px)',\n boxShadow: '0 8px 15px rgba(0,0,0,0.2)'\n }\n }\n }\n }\n }\n});\n\n// Inline SVG Icons to replace external image links\nconst PillIcon = (props) => (\n \n \n \n \n);\n\nconst MedicalReportIcon = (props) => (\n \n \n \n \n);\n\nconst ChatbotIcon = (props) => (\n \n \n \n \n);\n\nfunction WelcomePage() {\n const pageRef = useRef(null);\n\n const buttonStyle = {\n height: '220px', \n width: '100%', \n fontSize: '1.1rem',\n fontWeight: 600,\n display: 'flex',\n flexDirection: 'column',\n justifyContent: 'center',\n alignItems: 'center',\n gap: 2,\n backgroundImage: 'linear-gradient(to bottom right, #0077be, #4eb3ff)'\n };\n\n return (\n \n \n \n \n \n {/* Logo and App Name */}\n \n \n \n MEDIANALIZE\n \n \n Intelligent Healthcare Companion\n \n \n\n {/* Navigation Buttons */}\n \n \n }\n >\n Medical Report Analysis\n \n \n \n }\n >\n Prescription Analysis\n \n \n \n }\n >\n Healthcare AI Chat\n \n \n \n \n \n\n {/* Footer */}\n \n \n All rights reserved by UndiscoverableERA 2025 ©\n \n \n \n \n \n );\n}\n\nfunction App() {\n return (\n \n \n } />\n {/* Placeholder routes for future implementation */}\n Medical Report Analysis} />\n Prescription Analysis} />\n Healthcare AI Chat} />\n \n \n );\n}\n\nfunction client() {\n createRoot(document.getElementById(\"root\")).render();\n}\nif (typeof document !== \"undefined\") { client(); }\n\nexport default async function server(request: Request): Promise {\n return new Response(`\n \n \n MEDIANALIZE - Healthcare Companion\n \n \n \n \n \n

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