feat: basic slide generation from images

Author: Developer

app/api/analyze/route.ts

@@ -0,0 +1,76 @@
+import { NextRequest, NextResponse } from 'next/server'
+import { GoogleGenerativeAI } from '@google/generative-ai'
+
+const genAI = new GoogleGenerativeAI(process.env.GEMINI_API_KEY || '')
+
+export async function POST(request: NextRequest) {
+  try {
+    const formData = await request.formData()
+    const files = formData.getAll('files') as File[]
+    
+    if (!files.length) {
+      return NextResponse.json({ error: 'No files provided' }, { status: 400 })
+    }
+
+    const model = genAI.getGenerativeModel({ model: 'gemini-1.5-flash' })
+    
+    const results = []
+    
+    for (const file of files) {
+      const bytes = await file.arrayBuffer()
+      const buffer = Buffer.from(bytes)
+      
+      const imagePart = {
+        inlineData: {
+          data: buffer.toString('base64'),
+          mimeType: file.type,
+        },
+      }
+
+      const prompt = `Analyze this image and provide:
+1. A descriptive title for a presentation slide
+2. Key points that could be extracted from this image
+3. Suggested slide content or talking points
+4. Any text visible in the image
+
+Please format the response as JSON with the following structure:
+{
+  "title": "slide title",
+  "keyPoints": ["point 1", "point 2", "point 3"],
+  "content": "detailed description",
+  "extractedText": "any text found in image"
+}`
+
+      const result = await model.generateContent([prompt, imagePart])
+      const response = await result.response
+      const text = response.text()
+      
+      try {
+        const parsed = JSON.parse(text)
+        results.push({
+          filename: file.name,
+          analysis: parsed
+        })
+      } catch (e) {
+        results.push({
+          filename: file.name,
+          analysis: {
+            title: 'Generated Slide',
+            keyPoints: ['Content extracted from image'],
+            content: text,
+            extractedText: ''
+          }
+        })
+      }
+    }
+    
+    return NextResponse.json({ results })
+    
+  } catch (error) {
+    console.error('Error analyzing images:', error)
+    return NextResponse.json(
+      { error: 'Failed to analyze images' },
+      { status: 500 }
+    )
+  }
+}