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API is NOT supported on iOS Safari at all - `SpeechSynthesis` API has limited support and requires user interaction to work - iOS Safari has strict autoplay policies Solutions needed: - For voice recognition: Add fallback/alternative for iOS devices since SpeechRecognition is not supported - For text-to-speech: Fix the speech synthesis to work on iOS by: - Ensuring it's triggered by user interaction - Using proper iOS-compatible voice settings - Adding error handling for unsupported browsers Let me read the current code and implement cross-platform compatible solutions.116:T4a4,Now I understand the issue. The Web Speech API has limited support on iOS/iPadOS: - SpeechRecognition - NOT supported on iOS Safari at all - SpeechSynthesis - Supported but has restrictions on iOS (requires user interaction, autoplay policies) The current code uses: - `SpeechRecognition` for voice input (hotword detection and dictation) - `SpeechSynthesis` for text-to-speech output Solutions needed: - For voice recognition on iOS: - Detect if SpeechRecognition is not supported - Show a clear message to iOS users that voice input is not available - Ensure the manual text input still works perfectly - Hide/disable the microphone button on unsupported devices - For text-to-speech on iOS: - iOS Safari requires user interaction to trigger speech - Need to ensure speech is triggered properly after user clicks - Add fallback handling for when speech fails - Test that it works on iOS by ensuring it's called in response to user action Let me implement cross-platform compatible solutions: - Feature detection for SpeechRecognition - Better iOS compatibility for SpeechSynthesis - Graceful degradation when features aren't available - Clear UI feedback about what's supported117:Tad57,46:oad57,[V0_FILE]typescriptreact:file="app/loading.tsx" isFixed="true" isMerged="true" export default function Loading() { return null } [V0_FILE]typescriptreact:file="components/ui/badge.tsx" isMerged="true" import type * as React from "react" import { cva, type VariantProps } from "class-variance-authority" import { cn } from "@/lib/utils" const badgeVariants = cva( "inline-flex items-center rounded-full border px-2.5 py-0.5 text-xs font-semibold transition-colors focus:outline-none focus:ring-2 focus:ring-ring focus:ring-offset-2", { variants: { variant: { default: "border-transparent bg-primary text-primary-foreground hover:bg-primary/80", secondary: "border-transparent bg-secondary text-secondary-foreground hover:bg-secondary/80", destructive: "border-transparent bg-destructive text-destructive-foreground hover:bg-destructive/80", outline: "text-foreground", }, }, defaultVariants: { variant: "default", }, }, ) export interface BadgeProps extends React.HTMLAttributes, VariantProps {} function Badge({ className, variant, ...props }: BadgeProps) { return

} export { Badge, badgeVariants } [V0_FILE]json:file="package.json" isMerged="true" { "name": "my-v0-project", "version": "0.1.0", "private": true, "scripts": { "dev": "next dev", "build": "next build", "start": "next start", "lint": "next lint" }, "dependencies": { "@hookform/resolvers": "^3.10.0", "@radix-ui/react-accordion": "1.2.2", "@radix-ui/react-alert-dialog": "1.1.4", "@radix-ui/react-aspect-ratio": "1.1.1", "@radix-ui/react-avatar": "1.1.2", "@radix-ui/react-checkbox": "1.1.3", "@radix-ui/react-collapsible": "1.1.2", "@radix-ui/react-context-menu": "2.2.4", "@radix-ui/react-dialog": "1.1.4", "@radix-ui/react-dropdown-menu": "2.1.4", "@radix-ui/react-hover-card": "1.1.4", "@radix-ui/react-label": "2.1.1", "@radix-ui/react-menubar": "1.1.4", "@radix-ui/react-navigation-menu": "1.2.3", "@radix-ui/react-popover": "1.1.4", "@radix-ui/react-progress": "1.1.1", "@radix-ui/react-radio-group": "1.2.2", "@radix-ui/react-scroll-area": "1.2.2", "@radix-ui/react-select": "2.1.4", "@radix-ui/react-separator": "1.1.1", "@radix-ui/react-slider": "1.2.2", "@radix-ui/react-slot": "1.1.1", "@radix-ui/react-switch": "1.1.2", "@radix-ui/react-tabs": "1.1.2", "@radix-ui/react-toast": "1.2.4", "@radix-ui/react-toggle": "1.1.1", "@radix-ui/react-toggle-group": "1.1.1", "@radix-ui/react-tooltip": "1.1.6", "@vercel/analytics": "1.3.1", "autoprefixer": "^10.4.20", "class-variance-authority": "^0.7.1", "clsx": "^2.1.1", "cmdk": "1.0.4", "date-fns": "4.1.0", "embla-carousel-react": "8.5.1", "geist": "^1.3.1", "input-otp": "1.4.1", "lucide-react": "^0.454.0", "next": "14.2.25", "next-themes": "^0.4.6", "react": "^19", "react-day-picker": "9.8.0", "react-dom": "^19", "react-hook-form": "^7.60.0", "react-resizable-panels": "^2.1.7", "recharts": "2.15.4", "sonner": "^1.7.4", "tailwind-merge": "^3.3.1", "tailwindcss-animate": "^1.0.7", "vaul": "^0.9.9", "zod": "3.25.67", "ai": "5.0.57", "@ai-sdk/openai": "2.0.39", "canvas-confetti": "1.9.3" }, "devDependencies": { "@tailwindcss/postcss": "^4.1.9", "@types/node": "^22", "@types/react": "^18", "@types/react-dom": "^18", "postcss": "^8.5", "tailwindcss": "^4.1.9", "tw-animate-css": "1.3.3", "typescript": "^5" } } [V0_FILE]typescript:file="app/api/analyze-symptoms/route.ts" isEdit="true" isMerged="true" import { generateText } from "ai" import { openai } from "@ai-sdk/openai" export const maxDuration = 30 export async function POST(req: Request) { try { const { symptoms } = await req.json() if (!symptoms || typeof symptoms !== "string") { return Response.json({ error: "Sintomas são obrigatórios" }, { status: 400 }) } console.log("[v0] Iniciando diagnóstico profissional curto:", symptoms) const { text, usage, finishReason } = await generateText({ model: openai("gpt-4o"), prompt: `Aja como um médico virtual, formal e direto, falando com "você". Seja breve e claro, em um único parágrafo, sem listas. Comece exatamente com: "Como um robô médico, vou te ajudar". Depois resuma a queixa do usuário e diga: "isso pode estar relacionado a" seguido de 3 a 5 possibilidades separadas por vírgulas. Em seguida diga: "Posso te dizer que você deve" e liste 3 a 5 cuidados simples separados por vírgulas. Inclua: "consulte um médico se" seguido de 2 a 4 sinais de alerta curtos separados por vírgulas. Termine com uma saudação positiva curta, por exemplo: "Te desejo melhoras." Mantenha tom profissional e humano, sem humor. Sintomas do paciente: "${symptoms}"`, maxTokens: 220, temperature: 0.6, topP: 0.9, }) console.log("[v0] Diagnóstico profissional curto concluído. Usage:", usage, "Finish reason:", finishReason) return Response.json({ analysis: text }) } catch (error) { console.error("[v0] Erro no modo profissional curto:", error) let errorMessage = "Erro interno do servidor" if (error instanceof Error) { if (error.message.includes("API key")) { return Response.json( { error: "⚠️ AVISO: API key da OpenAI não configurada ou inválida. Verifique se a OPENAI_API_KEY está corretamente configurada nas variáveis de ambiente.", }, { status: 401 }, ) } else if (error.message.includes("model")) { return Response.json( { error: "Modelo solicitado não disponível. Verifique se sua conta OpenAI tem acesso a este modelo.", }, { status: 400 }, ) } else if (error.message.includes("quota") || error.message.includes("billing")) { return Response.json( { error: "Limite de uso da API OpenAI atingido. Verifique seu saldo e configurações de billing na OpenAI.", }, { status: 402 }, ) } else { errorMessage = `Erro na análise: ${error.message}` } } return Response.json({ error: errorMessage }, { status: 500 }) } } [V0_FILE]plaintext:file="public/medical-bg.webp" url="https://hebbkx1anhila5yf.public.blob.vercel-storage.com/op%C3%A7%C3%A3o%201-96jUtmWE0apttnPiPsyr4NBmxr0RTj.webp" isMerged="true" [V0_FILE]typescriptreact:file="components/ui/textarea.tsx" isEdit="true" isMerged="true" import * as React from "react" import { cn } from "@/lib/utils" export interface TextareaProps extends React.TextareaHTMLAttributes {} const Textarea = React.forwardRef( ({ className, ...props }, ref) => { return (

)
  }
)
Textarea.displayName = "Textarea"

export { Textarea }
[V0_FILE]css:file="app/globals.css" isEdit="true" isQuickEdit="true" isMerged="true"
@import "tailwindcss";
@import "tw-animate-css";

@custom-variant dark (&:is(.dark *));

:root {
  /* Cores médicas profissionais */
  --background: oklch(0.99 0.005 200); /* Branco médico suave */
  --foreground: oklch(0.15 0.02 220); /* Azul escuro médico */
  --card: oklch(1 0 0); /* Branco puro para cards */
  --card-foreground: oklch(0.15 0.02 220);
  --popover: oklch(1 0 0);
  --popover-foreground: oklch(0.15 0.02 220);
  --primary: oklch(0.55 0.15 220); /* Azul médico principal */
  --primary-foreground: oklch(0.99 0.005 200);
  --secondary: oklch(0.65 0.12 160); /* Verde hospitalar */
  --secondary-foreground: oklch(0.99 0.005 200);
  --muted: oklch(0.96 0.01 200);
  --muted-foreground: oklch(0.45 0.05 220);
  --accent: oklch(0.7 0.1 180); /* Verde claro médico */
  --accent-foreground: oklch(0.15 0.02 220);
  --destructive: oklch(0.6 0.2 15); /* Vermelho médico para alertas */
  --destructive-foreground: oklch(0.99 0.005 200);
  --border: oklch(0.9 0.02 200);
  --input: oklch(0.98 0.01 200);
  --ring: oklch(0.55 0.15 220);
  --chart-1: oklch(0.55 0.15 220);
  --chart-2: oklch(0.65 0.12 160);
  --chart-3: oklch(0.7 0.1 180);
  --chart-4: oklch(0.6 0.2 15);
  --chart-5: oklch(0.5 0.1 280);
  --radius: 0.75rem; /* Bordas mais suaves */
  --sidebar: oklch(0.99 0.005 200);
  --sidebar-foreground: oklch(0.15 0.02 220);
  --sidebar-primary: oklch(0.55 0.15 220);
  --sidebar-primary-foreground: oklch(0.99 0.005 200);
  --sidebar-accent: oklch(0.96 0.01 220);
  --sidebar-accent-foreground: oklch(0.15 0.02 220);
  --sidebar-border: oklch(0.9 0.02 200);
  --sidebar-ring: oklch(0.55 0.15 220);
}

.dark {
  --background: oklch(0.08 0.01 220);
  --foreground: oklch(0.95 0.01 200);
  --card: oklch(0.1 0.01 220);
  --card-foreground: oklch(0.95 0.01 200);
  --popover: oklch(0.1 0.01 220);
  --popover-foreground: oklch(0.95 0.01 200);
  --primary: oklch(0.65 0.15 220);
  --primary-foreground: oklch(0.08 0.01 220);
  --secondary: oklch(0.55 0.12 160);
  --secondary-foreground: oklch(0.95 0.01 200);
  --muted: oklch(0.15 0.01 220);
  --muted-foreground: oklch(0.6 0.05 200);
  --accent: oklch(0.6 0.1 180);
  --accent-foreground: oklch(0.95 0.01 200);
  --destructive: oklch(0.7 0.2 15);
  --destructive-foreground: oklch(0.95 0.01 200);
  --border: oklch(0.2 0.01 220);
  --input: oklch(0.15 0.01 220);
  --ring: oklch(0.65 0.15 220);
  --chart-1: oklch(0.65 0.15 220);
  --chart-2: oklch(0.55 0.12 160);
  --chart-3: oklch(0.6 0.1 180);
  --chart-4: oklch(0.7 0.2 15);
  --chart-5: oklch(0.6 0.1 280);
  --sidebar: oklch(0.1 0.01 220);
  --sidebar-foreground: oklch(0.95 0.01 200);
  --sidebar-primary: oklch(0.65 0.15 220);
  --sidebar-primary-foreground: oklch(0.08 0.01 220);
  --sidebar-accent: oklch(0.15 0.01 220);
  --sidebar-accent-foreground: oklch(0.95 0.01 200);
  --sidebar-border: oklch(0.2 0.01 220);
  --sidebar-ring: oklch(0.65 0.15 220);
}

@theme inline {
  /* Configuração da fonte Poppins */
  --font-sans: var(--font-poppins), ui-sans-serif, system-ui, sans-serif;
  --font-mono: var(--font-geist-mono);
  --color-background: var(--background);
  --color-foreground: var(--foreground);
  --color-card: var(--card);
  --color-card-foreground: var(--card-foreground);
  --color-popover: var(--popover);
  --color-popover-foreground: var(--popover-foreground);
  --color-primary: var(--primary);
  --color-primary-foreground: var(--primary-foreground);
  --color-secondary: var(--secondary);
  --color-secondary-foreground: var(--secondary-foreground);
  --color-muted: var(--muted);
  --color-muted-foreground: var(--muted-foreground);
  --color-accent: var(--accent);
  --color-accent-foreground: var(--accent-foreground);
  --color-destructive: var(--destructive);
  --color-destructive-foreground: var(--destructive-foreground);
  --color-border: var(--border);
  --color-input: var(--input);
  --color-ring: var(--ring);
  --color-chart-1: var(--chart-1);
  --color-chart-2: var(--chart-2);
  --color-chart-3: var(--chart-3);
  --color-chart-4: var(--chart-4);
  --color-chart-5: var(--chart-5);
  --radius-sm: calc(var(--radius) - 4px);
  --radius-md: calc(var(--radius) - 2px);
  --radius-lg: var(--radius);
  --radius-xl: calc(var(--radius) + 4px);
  --color-sidebar: var(--sidebar);
  --color-sidebar-foreground: var(--sidebar-foreground);
  --color-sidebar-primary: var(--sidebar-primary);
  --color-sidebar-primary-foreground: var(--sidebar-primary-foreground);
  --color-sidebar-accent: var(--sidebar-accent);
  --color-sidebar-accent-foreground: var(--sidebar-accent-foreground);
  --color-sidebar-border: var(--sidebar-border);
  --color-sidebar-ring: var(--sidebar-ring);
}

@layer base {
  * {
    @apply border-border outline-ring/50;
  }
  body {
    @apply bg-background text-foreground font-sans;
  }
}

/* Animações médicas suaves */
@keyframes pulse-medical {
  0%,
  100% {
    opacity: 1;
  }
  50% {
    opacity: 0.7;
  }
}

.animate-pulse-medical {
  animation: pulse-medical 2s ease-in-out infinite;
}

@keyframes fade-in-up {
  from {
    opacity: 0;
    transform: translateY(20px);
  }
  to {
    opacity: 1;
    transform: translateY(0);
  }
}

.animate-fade-in-up {
  animation: fade-in-up 0.6s ease-out;
}

/* Adicionando animação de queda para os confetes */
@keyframes fall {
  0% {
    transform: translateY(-100vh) rotate(0deg);
    opacity: 1;
  }
  100% {
    transform: translateY(100vh) rotate(360deg);
    opacity: 0;
  }
}

.animate-fall {
  animation: fall 3s linear infinite;
}
[V0_FILE]png:file="public/logo-medical.png" url="https://hebbkx1anhila5yf.public.blob.vercel-storage.com/logo%20medical-ud41vHWSPo6sj4LKrT4EJzrCNPiA9Q.png" isMerged="true"
[V0_FILE]typescriptreact:file="app/layout.tsx" isEdit="true" isMerged="true"
import type React from "react"
import type { Metadata } from "next"
import { Poppins } from "next/font/google"
import { GeistMono } from "geist/font/mono"
import { Analytics } from "@vercel/analytics/next"
import "./globals.css"
import { Suspense } from "react"

const poppins = Poppins({
  subsets: ["latin"],
  weight: ["300", "400", "500", "600", "700"],
  variable: "--font-poppins",
  display: "swap",
})

export const metadata: Metadata = {
  title: "MediAssist - Análise Inteligente de Sintomas",
  description: "Análise inteligente de sintomas com IA para orientação médica inicial",
  icons: {
    icon: "/logo-medical.png",
    shortcut: "/logo-medical.png",
    apple: "/logo-medical.png",
  },
  metadataBase: new URL(process.env.NEXT_PUBLIC_BASE_URL || "https://v0.dev"),
  referrer: "origin-when-cross-origin",
  robots: {
    index: true,
    follow: true,
  },
}

export default function RootLayout({
  children,
}: Readonly<{
  children: React.ReactNode
}>) {
  return (
    <html lang="pt-BR">
      <head>
        <link rel="preconnect" href="https://fonts.googleapis.com" />
        <link rel="preconnect" href="https://fonts.gstatic.com" crossOrigin="anonymous" />
        <meta name="viewport" content="width=device-width, initial-scale=1" />
        <meta httpEquiv="X-Content-Type-Options" content="nosniff" />
        <meta httpEquiv="X-Frame-Options" content="SAMEORIGIN" />
        <meta httpEquiv="X-XSS-Protection" content="1; mode=block" />
      </head>
      <body className={`font-sans ${poppins.variable} ${GeistMono.variable} antialiased`}>
        <Suspense fallback={null}>{children}</Suspense>
        <Analytics />
      </body>
    </html>
  )
}
[V0_FILE]jpg:file="public/medical-analysis-bg.jpg" url="https://hebbkx1anhila5yf.public.blob.vercel-storage.com/Image_fx%20%285%29%20%281%29-ie5auFEMcubSHV2YBBNQNa3uLNMA4y.jpg" isMerged="true"
[V0_FILE]typescriptreact:file="app/page.tsx" isEdit="true" isQuickEdit="true"
"use client"

import { useState, useEffect, useRef } from "react"
import { Button } from "@/components/ui/button"
import { Card, CardContent, CardHeader } from "@/components/ui/card"
import { CardTitle } from "@/components/ui/card"
import { Textarea } from "@/components/ui/textarea"
import { Badge } from "@/components/ui/badge"
import confetti from "canvas-confetti"
import { Mic, MicOff, Printer, ArrowRight } from "lucide-react"

export default function MediAssistPage() {
  // ===== ASSETS =====
  const ACCENT = "#1C1BB1"
  const HERO_IMG =
    "https://rlbaboiwngviskgsaomb.supabase.co/storage/v1/object/sign/imagens/Design%20sem%20nome%20(66).webp?token=eyJraWQiOiJzdG9yYWdlLXVybC1zaWduaW5nLWtleV8zMGJmN2E4Ny00MDc3LTQ5ZWItYjc1Ni1lNDk2M2Y5MmMzMTciLCJhbGciOiJIUzI1NiJ9.eyJ1cmwiOiJpbWFnZW5zL0Rlc2lnbiBzZW0gbm9tZSAoNjYpLndlYnAiLCJpYXQiOjE3NjA1NzY5ODIsImV4cCI6MTc5MjExMjk4Mn0.uZkTy8OSRKSZ4sMD8llqNBPdsf08mY4Lmjc_HiJhB-s"
  const ANALYSIS_IMG =
    "https://rlbaboiwngviskgsaomb.supabase.co/storage/v1/object/sign/imagens/ChatGPT%20Image%2015%20de%20out.%20de%202025,%2014_25_29.webp?token=eyJraWQiOiJzdG9yYWdlLXVybC1zaWduaW5nLWtleV8zMGJmN2E4Ny00MDc3LTQ5ZWItYjc1Ni1lNDk2M2Y5MmMzMTciLCJhbGciOiJIUzI1NiJ9.eyJ1cmwiOiJpbWFnZW5zL0NoYXRHUFQgSW1hZ2UgMTUgZGUgb3V0LiBkZSAyMDI1LCAxNF8yNV8yOS53ZWJwIiwiaWF0IjoxNzYwNTUyODIzLCJleHAiOjE3OTIwODg4MjN9.jQrREnizXvN73dSxsQrJN6_boAfCP2jXDQq4H4CMlRI"

// Glass mais claro e suave
  const GLASS = "bg-white/70 backdrop-blur-sm border border-white/50 shadow-[0_8px_28px_rgba(0,0,0,0.10)]"

const [symptoms, setSymptoms] = useState("")
  const [analysis, setAnalysis] = useState("")
  const [isLoading, setIsLoading] = useState(false)
  const [countdown, setCountdown] = useState<number | null>(null)
  const [showFullscreenResult, setShowFullscreenResult] = useState(false)
  const [pendingAnalysis, setPendingAnalysis] = useState("")
  const [isListening, setIsListening] = useState(false)

// Reconhecimento principal (ditado)
  const recognitionRef = useRef<any>(null)
  const silenceTimerRef = useRef<NodeJS.Timeout | null>(null)
  const isStoppingRef = useRef(false)
  const lastProcessedIndexRef = useRef(0)

// Hotword
  const hotwordRef = useRef<any>(null)
  const hotwordReadyRef = useRef(false)
  const hotwordStoppingRef = useRef(false)

// Pré-permissão
  const armedRef = useRef(false)

// ===== Utils =====
  const normalize = (s: string) =>
    s
      .toLowerCase()
      .normalize("NFD")
      .replace(/[\u0300-\u036f]/g, "")
      .replace(/[^\p{L}\p{N}\s]/gu, "")
      .trim()

const isWakeWord = (txt: string) => {
    const t = normalize(txt)
    return (
      t.includes("ola robo") ||
      t.includes("olá robô") || // com acento
      t.includes("ola roboi") ||
      t.includes("ola rob o") ||
      t.includes("ola roboo") ||
      t.includes("ola roboh") ||
      t.includes("ola roboe")
    )
  }

// Fala e só DEPOIS liga o mic (evita capturar o TTS)
  const speak = (text: string, onend?: () => void) => {
    try {
      if ("speechSynthesis" in window) {
        window.speechSynthesis.cancel()
        const u = new SpeechSynthesisUtterance(text)
        u.lang = "pt-BR"
        u.rate = 1.05
        u.pitch = 1.2
        u.volume = 1
        if (onend) {
          u.onend = () => setTimeout(() => onend(), 150)
        }
        window.speechSynthesis.speak(u)
        return
      }
    } catch {}
    if (onend) onend()
  }

// ===== Pré-permissão + start hotword =====
  useEffect(() => {
    const armOnce = async () => {
      if (armedRef.current) return
      armedRef.current = true
      try {
        const stream = await navigator.mediaDevices.getUserMedia({ audio: true })
        stream.getTracks().forEach((t) => t.stop())
      } catch {}
      startHotword()
      window.removeEventListener("pointerdown", armOnce as any, { capture: true } as any)
      window.removeEventListener("wheel", armOnce as any, { capture: true } as any)
      window.removeEventListener("keydown", armOnce as any, { capture: true } as any)
    }

window.addEventListener("pointerdown", armOnce as any, { once: true, capture: true } as any)
    window.addEventListener("wheel", armOnce as any, { once: true, capture: true } as any)
    window.addEventListener("keydown", armOnce as any, { once: true, capture: true } as any)

return () => {
      window.removeEventListener("pointerdown", armOnce as any, { capture: true } as any)
      window.removeEventListener("wheel", armOnce as any, { capture: true } as any)
      window.removeEventListener("keydown", armOnce as any, { capture: true } as any)
    }
  }, [])

// ===== SpeechRecognition PRINCIPAL =====
  useEffect(() => {
    if (typeof window === "undefined") return
    const SR = (window as any).SpeechRecognition || (window as any).webkitSpeechRecognition
    if (!SR) return

const recognition = new SR()
    recognition.continuous = true
    recognition.interimResults = true
    recognition.lang = "pt-BR"
    recognition.maxAlternatives = 1

recognition.onstart = () => {
      isStoppingRef.current = false
      lastProcessedIndexRef.current = 0
      stopHotword()
    }

recognition.onresult = (event: any) => {
      let finalTranscript = ""
      for (let i = lastProcessedIndexRef.current; i < event.results.length; i++) {
        const res = event.results[i]
        if (res.isFinal) {
          finalTranscript += res[0].transcript + " "
          lastProcessedIndexRef.current = i + 1
        }
      }

if (!finalTranscript) return

setSymptoms((prev) => (prev ? `${prev} ${finalTranscript}`.trim() : finalTranscript.trim()))

// 3s de silêncio => parar e clicar Analisar
      if (silenceTimerRef.current) clearTimeout(silenceTimerRef.current)
      silenceTimerRef.current = setTimeout(() => {
        if (recognitionRef.current && !isStoppingRef.current) {
          try {
            isStoppingRef.current = true
            recognitionRef.current.stop()
            setIsListening(false)
            setTimeout(() => {
              const analyzeButton = document.querySelector("[data-analyze-button]") as HTMLButtonElement
              if (analyzeButton) analyzeButton.click()
            }, 100)
          } catch {}
        }
      }, 3000)
    }

recognition.onerror = (event: any) => {
      if (event.error === "not-allowed" || event.error === "service-not-allowed") {
        setIsListening(false)
        isStoppingRef.current = true
      }
    }

recognition.onend = () => {
      lastProcessedIndexRef.current = 0
      if (!isStoppingRef.current) {
        try {
          recognition.start()
        } catch (e: any) {
          if (!String(e?.message || "").includes("already started")) setIsListening(false)
        }
      } else {
        setIsListening(false)
        startHotword()
      }
    }

recognitionRef.current = recognition
    return () => {
      if (recognitionRef.current) {
        try {
          isStoppingRef.current = true
          recognitionRef.current.stop()
        } catch {}
      }
      if (silenceTimerRef.current) clearTimeout(silenceTimerRef.current)
      stopHotword(true)
    }
  }, [])

// ===== HOTWORD =====
  useEffect(() => {
    if (typeof window === "undefined") return
    const SR = (window as any).SpeechRecognition || (window as any).webkitSpeechRecognition
    if (!SR) return

const hotword = new SR()
    hotword.continuous = true
    hotword.interimResults = true
    hotword.lang = "pt-BR"
    hotword.maxAlternatives = 1

hotword.onstart = () => {
      hotwordStoppingRef.current = false
    }

hotword.onresult = (event: any) => {
      let finalTranscript = ""
      for (let i = event.resultIndex; i < event.results.length; i++) {
        const res = event.results[i]
        if (res.isFinal) finalTranscript += res[0].transcript + " "
      }
      if (!finalTranscript) return

if (isWakeWord(finalTranscript)) {
        // PARA O HOTWORD, FALA A FRASE, E DEPOIS INICIA O DITADO
        stopHotword()
        if (!isListening) {
          speak("Olá, pode falar seu sintoma.", () => {
            safeStartMainRecognition()
          })
        }
      }
    }

hotword.onerror = (event: any) => {
      if (event.error === "not-allowed" || event.error === "service-not-allowed") {
        hotwordStoppingRef.current = true
      }
    }

hotword.onend = () => {
      if (!hotwordStoppingRef.current && !isListening) {
        try {
          hotword.start()
        } catch {}
      }
    }

hotwordRef.current = hotword
    hotwordReadyRef.current = true
    return () => stopHotword(true)
  }, [isListening])

function startHotword() {
    if (!hotwordReadyRef.current || !hotwordRef.current) return
    if (isListening) return
    try {
      hotwordStoppingRef.current = false
      hotwordRef.current.start()
    } catch {}
  }
  function stopHotword() {
    if (!hotwordRef.current) return
    try {
      hotwordStoppingRef.current = true
      hotwordRef.current.stop()
    } catch {}
  }
  function safeStartMainRecognition() {
    if (!recognitionRef.current) {
      alert("Reconhecimento de voz não é suportado neste navegador. Use Chrome ou Edge.")
      return
    }
    try {
      if ("speechSynthesis" in window) window.speechSynthesis.cancel()
    } catch {}
    lastProcessedIndexRef.current = 0
    isStoppingRef.current = false
    try {
      recognitionRef.current.start()
      setIsListening(true)
    } catch (error: any) {
      if (String(error?.message || "").includes("already started")) {
        setIsListening(true)
      } else {
        alert("Erro ao iniciar o reconhecimento de voz. Verifique as permissões do microfone.")
      }
    }
  }

// ===== Print =====
  const handlePrint = () => {
    const w = window.open("", "_blank")
    if (!w) return
    const currentDate = new Date().toLocaleString("pt-BR", { dateStyle: "full", timeStyle: "short" })
    w.document.write(`
      <!DOCTYPE html><html><head><meta charset="UTF-8"/>
      <meta name="viewport" content="width=device-width, initial-scale=1" />
      <title>Análise de Sintomas - Med Tech</title>
      <style>
        *{margin:0;padding:0;box-sizing:border-box}
        body{font-family:'Segoe UI',Arial,sans-serif;padding:24px;line-height:1.8;color:#0f172a;background:#fff}
        .header{text-align:center;margin-bottom:24px;border-bottom:3px solid ${ACCENT};padding-bottom:16px}
        .header h1{color:${ACCENT};font-size:28px;font-weight:700}
        .subtitle{color:#475569;margin:4px 0;font-size:13px;text-transform:uppercase;letter-spacing:1px}
        .date{color:#64748b;margin-top:8px;font-size:12px}
        .section{margin-bottom:24px;page-break-inside:avoid}
        .section h2{color:#0f172a;border-left:5px solid ${ACCENT};padding-left:12px;margin-bottom:12px;font-size:18px;font-weight:600}
        .content{background:#f8fafc;padding:16px;border-radius:10px;border:1px solid #e2e8f0;white-space:pre-wrap;word-wrap:break-word;font-size:14px;text-align:justify}
        .footer{margin-top:28px;padding-top:16px;border-top:2px solid #e2e8f0;font-size:11px;color:#475569}
        .warning{background:#fff3cd;border-left:4px solid #ffc107;padding:12px;margin-bottom:12px;border-radius:4px}
        .warning strong{color:#856404;display:block;margin-bottom:4px;font-size:12px}
        .powered{text-align:center;color:#94a3b8;margin-top:12px}
        @media (min-width:768px){body{padding:40px}.header h1{font-size:32px}}
        @media print{body{padding:30px}.section{page-break-inside:avoid}}
      </style></head>
      <body>
        <div class="header">
          <h1>🏥 Med Tech</h1>
          <p class="subtitle">Análise Inteligente de Sintomas</p>
          <p class="date">📅 ${currentDate}</p>
        </div>
        <div class="section"><h2>📋 Sintomas Relatados</h2><div class="content">${symptoms}</div></div>
        <div class="section"><h2>🔍 Análise Completa</h2><div class="content">${analysis}</div></div>
        <div class="footer">
          <div class="warning"><strong>⚠️ AVISO IMPORTANTE</strong>Esta é uma análise preliminar gerada por IA. NÃO substitui atendimento médico.</div>
          <p class="powered">Powered by Med Tech</p>
        </div>
      </body></html>
    `)
    w.document.close()
    w.focus()
    setTimeout(() => w.print(), 250)
  }

// ===== Toggle mic (visual transparente, SEM HOVER DE FUNDO) =====
  const toggleListening = () => {
    if (!recognitionRef.current) {
      alert("Reconhecimento de voz não é suportado neste navegador. Use Chrome ou Edge.")
      return
    }
    if (isListening) {
      isStoppingRef.current = true
      try {
        recognitionRef.current.stop()
      } catch {}
      setIsListening(false)
      if (silenceTimerRef.current) {
        clearTimeout(silenceTimerRef.current)
        silenceTimerRef.current = null
      }
      lastProcessedIndexRef.current = 0
      startHotword()
    } else {
      ;(async () => {
        try {
          const stream = await navigator.mediaDevices.getUserMedia({ audio: true })
          stream.getTracks().forEach((t) => t.stop())
        } catch {}
        stopHotword()
        try {
          if ("speechSynthesis" in window) window.speechSynthesis.cancel()
        } catch {}
        lastProcessedIndexRef.current = 0
        isStoppingRef.current = false
        try {
          recognitionRef.current.start()
          setIsListening(true)
        } catch (error: any) {
          if (String(error?.message || "").includes("already started")) setIsListening(true)
          else alert("Erro ao iniciar o reconhecimento de voz. Verifique as permissões do microfone.")
        }
      })()
    }
  }

// ===== Countdown / confetti / TTS =====
  useEffect(() => {
    if (countdown !== null && countdown > 1) {
      const t = setTimeout(() => setCountdown(countdown - 1), 1000)
      return () => clearTimeout(t)
    } else if (countdown === 1 && pendingAnalysis) {
      setCountdown(null)
      setAnalysis(pendingAnalysis)
      setShowFullscreenResult(true)
      setIsLoading(false)
    }
  }, [countdown, pendingAnalysis])

useEffect(() => {
    if (showFullscreenResult && analysis) {
      const duration = 3000
      const end = Date.now() + duration
      const frame = () => {
        confetti({
          particleCount: 3,
          angle: 60,
          spread: 55,
          origin: { x: 0 },
          colors: [ACCENT, "#6b7280", "#111827", "#0ea5e9", "#22c55e"],
        })
        confetti({
          particleCount: 3,
          angle: 120,
          spread: 55,
          origin: { x: 1 },
          colors: [ACCENT, "#6b7280", "#111827", "#0ea5e9", "#22c55e"],
        })
        if (Date.now() < end) requestAnimationFrame(frame)
      }
      frame()
      try {
        if ("speechSynthesis" in window) {
          window.speechSynthesis.cancel()
          const u = new SpeechSynthesisUtterance(analysis)
          u.lang = "pt-BR"
          u.rate = 1.2
          u.pitch = 1.4
          u.volume = 1.0
          setTimeout(() => window.speechSynthesis.speak(u), 500)
        }
      } catch {}
    }
  }, [showFullscreenResult, analysis])

// ===== API =====
  const handleAnalyze = async () => {
    if (!symptoms.trim()) return
    if (isListening && recognitionRef.current) {
      isStoppingRef.current = true
      try {
        recognitionRef.current.stop()
      } catch {}
      setIsListening(false)
    }
    if (silenceTimerRef.current) {
      clearTimeout(silenceTimerRef.current)
      silenceTimerRef.current = null
    }

setIsLoading(true)
    setAnalysis("")
    setPendingAnalysis("")
    setCountdown(5)

try {
      const r = await fetch("/api/analyze-symptoms", {
        method: "POST",
        headers: { "Content-Type": "application/json" },
        body: JSON.stringify({ symptoms }),
      })
      if (!r.ok) throw new Error("Erro na análise")
      const data = await r.json()
      setPendingAnalysis(data.analysis)
    } catch {
      setPendingAnalysis("Desculpe, ocorreu um erro na análise. Tente novamente.")
      setCountdown(null)
      setIsLoading(false)
    }
  }

const commonSymptoms = [
    "Dor de cabeça",
    "Febre",
    "Tosse",
    "Dor no peito",
    "Náusea",
    "Fadiga",
    "Dor abdominal",
    "Tontura",
  ]

return (
    <div className="min-h-screen relative font-sans bg-[rgba(245,246,253,1)]">
      {/* HEADER — mínimo padding lateral, colado à esquerda */}
      <header className="fixed top-0 left-0 right-0 z-30 bg-transparent">
        <div className="w-full px-2 py-3 md:py-4 sm:px-5">
          <div className="flex items-center gap-3">
            <img
              src="/logo-medical.png"
              alt="Med Tech Logo"
              className="h-7 w-7 md:h-8 md:w-8 object-contain opacity-75"
            />
            <span className="text-white text-lg md:text-xl font-semibold opacity-75">Med Tech</span>
          </div>
        </div>
      </header>

{/* HERO */}
      <section
        id="hero"
        className="relative w-full min-h-[70vh] md:min-h-[78vh] lg:min-h-[84vh] flex items-start"
        style={{
          backgroundImage: `url("${HERO_IMG}")`,
          backgroundSize: "cover",
          backgroundPosition: "center",
          backgroundRepeat: "no-repeat",
        }}
      >
        <div className="relative z-[1] w-full pt-36 md:pt-48 lg:pt-56 xl:pt-64 px-4 sm:px-6 md:px-10 lg:px-36 xl:px-80 2xl:px-[28rem] pb-80 xl:pr-72 xl:pl-72">
          <div className="max-w-6xl">
            {/* Headline */}
            <h1 className="text-white tracking-tight leading-[1.08] text-4xl sm:text-5xl md:text-6xl">
              <span className="font-light">Med </span>
              <span className="italic font-light">Tech</span>
              <span className="font-light"> — </span>
              <span className="font-light">análise </span>
              <span
                className="inline-block font-semibold italic bg-gradient-to-r from-white/95 to-[#EEF3FF] bg-clip-text text-transparent pb-1.5 pr-1.5"
                style={{ textShadow: "0 0 12px rgba(28,27,177,0.18)" }}
              >
                inteligente
              </span>
              <span className="font-light"> de </span>
              <span className="font-semibold">sintomas</span>
            </h1>
          </div>

{/* === CARD DE ENTRADA === */}
          <div className="mt-6 md:mt-8 w-full">
            <div className={`relative w-full rounded-xl ${GLASS} ring-0 outline-none px-0 py-2 md:py-1`}>
              {/* --- MOBILE (< md) --- */}
              <div className="md:hidden w-full px-3">
                <div className="flex items-center gap-2 min-w-0">
                  <Textarea
                    placeholder="Descreva aqui seus sintomas..."
                    value={symptoms}
                    onChange={(e) => setSymptoms(e.target.value)}
                    className="flex-1 min-w-0 min-h-14 max-h-48 resize-y bg-transparent border-0 focus:ring-0 focus-visible:ring-0 text-base text-slate-700 placeholder:text-slate-700 font-medium"
                  />
                  <div className="shrink-0 flex items-center gap-2">
                    {/* MIC MOBILE - sem hover de fundo */}
                    <Button
                      type="button"
                      onClick={toggleListening}
                      className={`h-11 w-11 rounded-xl border p-0 bg-transparent hover:bg-transparent focus-visible:ring-0 focus:ring-0 ${
                        isListening
                          ? "border-rose-400 ring-2 ring-rose-300/50 text-rose-600"
                          : "border-slate-300 text-slate-800"
                      }`}
                      title={isListening ? "Parar" : "Gravar"}
                    >
                      {isListening ? <MicOff className="h-5 w-5" /> : <Mic className="h-5 w-5" />}
                    </Button>
                    {/* ANALISAR */}
                    <Button
                      data-analyze-button
                      onClick={handleAnalyze}
                      disabled={!symptoms.trim() || isLoading}
                      className="h-11 w-11 rounded-xl p-0 text-white disabled:opacity-60 disabled:cursor-not-allowed hover:bg-opacity-90"
                      style={{ backgroundColor: ACCENT }}
                      title="Analisar"
                    >
                      <ArrowRight className="h-5 w-5" />
                    </Button>
                  </div>
                </div>
              </div>

{/* --- DESKTOP (>= md) --- */}
              <div className="hidden md:block w-full">
                <div className="relative px-3">
                  <Textarea
                    placeholder="Descreva aqui seus sintomas..."
                    value={symptoms}
                    onChange={(e) => setSymptoms(e.target.value)}
                    className="w-full min-h-14 max-h-60 resize-y bg-transparent border-0 focus:ring-0 focus-visible:ring-0 text-[15px] text-slate-700 placeholder:text-slate-700 font-medium"
                  />
                  <div className="hidden md:flex absolute right-3 top-1/2 -translate-y-1/2 items-center gap-2">
                    {/* MIC DESKTOP - sem hover de fundo */}
                    <Button
                      type="button"
                      size="icon"
                      onClick={toggleListening}
                      className={`h-11 w-11 border p-0 bg-transparent rounded-full opacity-70 hover:bg-transparent focus-visible:ring-0 focus:ring-0 ${
                        isListening
                          ? "border-rose-400 ring-2 ring-rose-300/50 text-rose-600"
                          : "border-slate-400 text-slate-800"
                      }`}
                      title={isListening ? "Parar" : "Gravar"}
                    >
                      {isListening ? <MicOff className="h-5 w-5" /> : <Mic className="h-5 w-5" />}
                    </Button>
                    {/* ANALISAR */}
                    <Button
                      data-analyze-button
                      onClick={handleAnalyze}
                      disabled={!symptoms.trim() || isLoading}
                      className="h-11 w-11 rounded-full p-0 text-white disabled:opacity-60 disabled:cursor-not-allowed hover:bg-opacity-90"
                      style={{ backgroundColor: ACCENT }}
                      title="Analisar"
                    >
                      <ArrowRight className="h-5 w-5" />
                    </Button>
                  </div>
                </div>
              </div>

{/* CHIPS */}
              <div className="mt-3 px-3 pb-0">
                <div className="flex flex-wrap gap-2 opacity-50">
                  {commonSymptoms.map((symptom) => (
                    <Badge
                      key={symptom}
                      variant="secondary"
                      className="cursor-pointer bg-transparent text-slate-700 border border-slate-400 hover:bg-white/40"
                      onClick={() => {
                        const entry = symptom.toLowerCase()
                        const exists = symptoms.toLowerCase().includes(entry)
                        const newSymptoms = exists ? symptoms : symptoms ? `${symptoms}, ${entry}` : entry
                        setSymptoms(newSymptoms)
                      }}
                    >
                      {symptom}
                    </Badge>
                  ))}
                </div>
              </div>
            </div>
          </div>
        </div>
      </section>

{/* COUNTDOWN */}
      {countdown !== null && countdown >= 1 && (
        <div className="fixed inset-0 z-50 flex items-center justify-center">
          <div
            className="absolute inset-0 bg-cover bg-center bg-no-repeat"
            style={{ backgroundImage: `url("${ANALYSIS_IMG}")` }}
          />
          <div className="relative z-10 text-center px-4">
            <div className={`rounded-xl p-8 sm:p-12 md:p-16 ${GLASS}`}>
              <div className="text-7xl sm:text-8xl md:text-9xl font-light text-slate-800 mb-4">{countdown}</div>
              <p className="mt-4 sm:mt-6 md:mt-8 text-xl sm:text-2xl text-slate-700 font-medium">
                Analisando seus sintomas...
              </p>
            </div>
          </div>
        </div>
      )}

{/* FULLSCREEN RESULT */}
      {showFullscreenResult && analysis && (
        <div className="fixed inset-0 z-50 flex items-center justify-center overflow-hidden">
          <div
            className="absolute inset-0 bg-cover bg-center bg-no-repeat"
            style={{ backgroundImage: `url("${ANALYSIS_IMG}")` }}
          />
          <div className="relative z-10 w-full px-4 sm:px-6 md:px-10 lg:px-36 xl:px-80 2xl:px-[28rem] py-8 md:py-10 max-h-[90vh] overflow-y-auto">
            <div className="max-w-4xl mx-auto">
              <div className="text-center mb-6 md:mb-8">
                <h2 className="text-white text-3xl sm:text-4xl md:text-5xl font-light mb-3 md:mb-4 tracking-tight">
                  Análise Completa
                </h2>
                <p className="text-white/90 text-base sm:text-lg md:text-xl font-light">
                  Aqui está o resultado da sua análise
                </p>
              </div>

<div className={`rounded-xl p-5 sm:p-6 md:p-8 ${GLASS}`}>
                <p className="text-slate-800 text-base sm:text-lg leading-relaxed whitespace-pre-wrap text-justify font-medium">
                  {analysis}
                </p>
              </div>

<div className="mt-6 md:mt-8 text-center flex gap-3 sm:gap-4 justify-center flex-wrap">
                <Button
                  onClick={handlePrint}
                  className="bg-white border hover:bg-slate-50 text-slate-800 font-medium px-4 sm:px-6 md:px-8 py-4 sm:py-5 md:py-6 rounded-xl"
                  style={{ borderColor: "#e2e8f0" }}
                  title="Imprimir"
                >
                  <Printer className="h-5 w-5" />
                </Button>
                <Button
                  onClick={() => {
                    try {
                      if ("speechSynthesis" in window) window.speechSynthesis.cancel()
                    } catch {}
                    setShowFullscreenResult(false)
                    setSymptoms("")
                    setAnalysis("")
                    setPendingAnalysis("")
                    setCountdown(null)
                    startHotword()
                  }}
                  className="text-white rounded-xl px-4 sm:px-6 md:px-8 py-4 sm:py-5 md:py-6"
                  style={{ backgroundColor: ACCENT }}
                  title="Voltar"
                >
                  <ArrowRight className="h-5 w-5 rotate-180" />
                </Button>
              </div>
            </div>
          </div>
        </div>
      )}

const badgeVariants = cva(
  "inline-flex items-center rounded-full border px-2.5 py-0.5 text-xs font-semibold transition-colors focus:outline-none focus:ring-2 focus:ring-ring focus:ring-offset-2",
  {
    variants: {
      variant: {
        default: "border-transparent bg-primary text-primary-foreground hover:bg-primary/80",
        secondary: "border-transparent bg-secondary text-secondary-foreground hover:bg-secondary/80",
        destructive: "border-transparent bg-destructive text-destructive-foreground hover:bg-destructive/80",
        outline: "text-foreground",
      },
    },
    defaultVariants: {
      variant: "default",
    },
  },
)

export interface BadgeProps extends React.HTMLAttributes<HTMLDivElement>, VariantProps<typeof badgeVariants> {}

function Badge({ className, variant, ...props }: BadgeProps) {
  return <div className={cn(badgeVariants({ variant }), className)} {...props} />
}

export { Badge, badgeVariants }
[V0_FILE]json:file="package.json" isMerged="true"
{
  "name": "my-v0-project",
  "version": "0.1.0",
  "private": true,
  "scripts": {
    "dev": "next dev",
    "build": "next build",
    "start": "next start",
    "lint": "next lint"
  },
  "dependencies": {
    "@hookform/resolvers": "^3.10.0",
    "@radix-ui/react-accordion": "1.2.2",
    "@radix-ui/react-alert-dialog": "1.1.4",
    "@radix-ui/react-aspect-ratio": "1.1.1",
    "@radix-ui/react-avatar": "1.1.2",
    "@radix-ui/react-checkbox": "1.1.3",
    "@radix-ui/react-collapsible": "1.1.2",
    "@radix-ui/react-context-menu": "2.2.4",
    "@radix-ui/react-dialog": "1.1.4",
    "@radix-ui/react-dropdown-menu": "2.1.4",
    "@radix-ui/react-hover-card": "1.1.4",
    "@radix-ui/react-label": "2.1.1",
    "@radix-ui/react-menubar": "1.1.4",
    "@radix-ui/react-navigation-menu": "1.2.3",
    "@radix-ui/react-popover": "1.1.4",
    "@radix-ui/react-progress": "1.1.1",
    "@radix-ui/react-radio-group": "1.2.2",
    "@radix-ui/react-scroll-area": "1.2.2",
    "@radix-ui/react-select": "2.1.4",
    "@radix-ui/react-separator": "1.1.1",
    "@radix-ui/react-slider": "1.2.2",
    "@radix-ui/react-slot": "1.1.1",
    "@radix-ui/react-switch": "1.1.2",
    "@radix-ui/react-tabs": "1.1.2",
    "@radix-ui/react-toast": "1.2.4",
    "@radix-ui/react-toggle": "1.1.1",
    "@radix-ui/react-toggle-group": "1.1.1",
    "@radix-ui/react-tooltip": "1.1.6",
    "@vercel/analytics": "1.3.1",
    "autoprefixer": "^10.4.20",
    "class-variance-authority": "^0.7.1",
    "clsx": "^2.1.1",
    "cmdk": "1.0.4",
    "date-fns": "4.1.0",
    "embla-carousel-react": "8.5.1",
    "geist": "^1.3.1",
    "input-otp": "1.4.1",
    "lucide-react": "^0.454.0",
    "next": "14.2.25",
    "next-themes": "^0.4.6",
    "react": "^19",
    "react-day-picker": "9.8.0",
    "react-dom": "^19",
    "react-hook-form": "^7.60.0",
    "react-resizable-panels": "^2.1.7",
    "recharts": "2.15.4",
    "sonner": "^1.7.4",
    "tailwind-merge": "^3.3.1",
    "tailwindcss-animate": "^1.0.7",
    "vaul": "^0.9.9",
    "zod": "3.25.67",
    "ai": "5.0.57",
    "@ai-sdk/openai": "2.0.39",
    "canvas-confetti": "1.9.3"
  },
  "devDependencies": {
    "@tailwindcss/postcss": "^4.1.9",
    "@types/node": "^22",
    "@types/react": "^18",
    "@types/react-dom": "^18",
    "postcss": "^8.5",
    "tailwindcss": "^4.1.9",
    "tw-animate-css": "1.3.3",
    "typescript": "^5"
  }
}
[V0_FILE]typescript:file="app/api/analyze-symptoms/route.ts" isEdit="true" isMerged="true"
import { generateText } from "ai"
import { openai } from "@ai-sdk/openai"

export const maxDuration = 30

export async function POST(req: Request) {
  try {
    const { symptoms } = await req.json()

if (!symptoms || typeof symptoms !== "string") {
      return Response.json({ error: "Sintomas são obrigatórios" }, { status: 400 })
    }

console.log("[v0] Iniciando diagnóstico profissional curto:", symptoms)

const { text, usage, finishReason } = await generateText({
      model: openai("gpt-4o"),
      prompt: `Aja como um médico virtual, formal e direto, falando com "você".
Seja breve e claro, em um único parágrafo, sem listas.
Comece exatamente com: "Como um robô médico, vou te ajudar".
Depois resuma a queixa do usuário e diga: "isso pode estar relacionado a" seguido de 3 a 5 possibilidades separadas por vírgulas.
Em seguida diga: "Posso te dizer que você deve" e liste 3 a 5 cuidados simples separados por vírgulas.
Inclua: "consulte um médico se" seguido de 2 a 4 sinais de alerta curtos separados por vírgulas.
Termine com uma saudação positiva curta, por exemplo: "Te desejo melhoras."
Mantenha tom profissional e humano, sem humor.

Sintomas do paciente: "${symptoms}"`,
      maxTokens: 220,
      temperature: 0.6,
      topP: 0.9,
    })

console.log("[v0] Diagnóstico profissional curto concluído. Usage:", usage, "Finish reason:", finishReason)

return Response.json({ analysis: text })
  } catch (error) {
    console.error("[v0] Erro no modo profissional curto:", error)

let errorMessage = "Erro interno do servidor"

if (error instanceof Error) {
      if (error.message.includes("API key")) {
        return Response.json(
          {
            error:
              "⚠️ AVISO: API key da OpenAI não configurada ou inválida. Verifique se a OPENAI_API_KEY está corretamente configurada nas variáveis de ambiente.",
          },
          { status: 401 },
        )
      } else if (error.message.includes("model")) {
        return Response.json(
          {
            error: "Modelo solicitado não disponível. Verifique se sua conta OpenAI tem acesso a este modelo.",
          },
          { status: 400 },
        )
      } else if (error.message.includes("quota") || error.message.includes("billing")) {
        return Response.json(
          {
            error: "Limite de uso da API OpenAI atingido. Verifique seu saldo e configurações de billing na OpenAI.",
          },
          { status: 402 },
        )
      } else {
        errorMessage = `Erro na análise: ${error.message}`
      }
    }

return Response.json({ error: errorMessage }, { status: 500 })
  }
}
[V0_FILE]plaintext:file="public/medical-bg.webp" url="https://hebbkx1anhila5yf.public.blob.vercel-storage.com/op%C3%A7%C3%A3o%201-96jUtmWE0apttnPiPsyr4NBmxr0RTj.webp" isMerged="true"
[V0_FILE]typescriptreact:file="components/ui/textarea.tsx" isEdit="true" isMerged="true"
import * as React from "react"
import { cn } from "@/lib/utils"

export interface TextareaProps
  extends React.TextareaHTMLAttributes<HTMLTextAreaElement> {}

const Textarea = React.forwardRef<HTMLTextAreaElement, TextareaProps>(
  ({ className, ...props }, ref) => {
    return (
      <textarea
        ref={ref}
        {...props}
        className={cn(
          // layout
          "block w-full max-w-3xl h-0 mx-0 opacity-60",
          // dimensões
          "min-h-20",
          // visual
          "rounded-md bg-transparent border-0",
          // tipografia
          "text-base md:text-sm placeholder:text-muted-foreground",
          // espaçamento (sem padding lateral)
          "px-0 py-2",
          // foco e estados
          "focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-[#1C1BB1] focus-visible:ring-offset-0",
          "disabled:cursor-not-allowed disabled:opacity-50",
          className
        )}
      />
    )
  }
)
Textarea.displayName = "Textarea"