63 lines
2.0 KiB
TypeScript
63 lines
2.0 KiB
TypeScript
import { type NextRequest, NextResponse } from "next/server"
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import { generateText } from "ai"
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export async function POST(request: NextRequest) {
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try {
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const formData = await request.formData()
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const file = formData.get("file") as File
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const targetLanguage = formData.get("targetLanguage") as string
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if (!file || !targetLanguage) {
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return NextResponse.json({ error: "缺少必要參數" }, { status: 400 })
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}
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// Extract text from PDF
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const arrayBuffer = await file.arrayBuffer()
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const buffer = Buffer.from(arrayBuffer)
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// For demo purposes, we'll simulate PDF text extraction
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// In production, you'd use a library like pdf-parse
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const pdfText = `這是從PDF提取的示例文本。在實際應用中，這裡會是真實的PDF內容。
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這個應用展示了如何使用AI來翻譯文檔內容。您可以上傳任何PDF文件，選擇目標語言，然後獲得翻譯結果。
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主要功能包括：
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- 支持多種語言翻譯
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- 清爽的用戶介面
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- 簡單易用的操作流程`
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// Get language name for better translation context
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const languageNames: Record<string, string> = {
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"zh-TW": "繁體中文",
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"zh-CN": "簡體中文",
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en: "English",
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ja: "日本語",
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ko: "한국어",
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es: "Español",
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fr: "Français",
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de: "Deutsch",
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it: "Italiano",
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pt: "Português",
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ru: "Русский",
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ar: "العربية",
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th: "ไทย",
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vi: "Tiếng Việt",
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}
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const targetLanguageName = languageNames[targetLanguage] || targetLanguage
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// Translate using AI SDK
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const { text: translatedText } = await generateText({
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model: "openai/gpt-4o-mini",
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prompt: `請將以下文本翻譯成${targetLanguageName}。保持原文的格式和結構，只翻譯內容：
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${pdfText}`,
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})
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return NextResponse.json({ translatedText })
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} catch (error) {
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console.error("翻譯錯誤:", error)
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return NextResponse.json({ error: "翻譯過程中發生錯誤" }, { status: 500 })
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}
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}
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