feat: intelligently determine necessary views for thin objects and update SparkPlug UI to support dynamic number of views

backend/server.js

@@ -382,10 +382,30 @@ app.post('/api/sparkplug/generate-images', authenticate, async (req, res) => {
 
     // Use the Gemini 3.1 Flash Image API
     const baseUrl = 'https://generativelanguage.googleapis.com/v1beta/models/gemini-3.1-flash-image:generateContent';
-    
-    const views = ['Front view', 'Back view', 'Left side view', 'Right side view'];
 
-    // Run parallel generation for all 4 views
+    // Intelligently determine needed views using a text model
+    const genAI = new GoogleGenerativeAI(apiKey);
+    const textModel = genAI.getGenerativeModel({ model: "gemini-3.5-flash-lite" });
+    const viewPrompt = `You are a 3D modeling assistant. The user wants to generate orthographic views for a product based on this description: "${prompt}".
+If the product is extremely thin and flat (like a sachet, pouch, packet, paper, or card), we only need the front and back views.
+Otherwise, for a standard 3D volume (bottle, box, can, etc), we need front, back, left, and right.
+Return ONLY a valid JSON array of strings representing the views needed.
+Example 1: ["Front view", "Back view"]
+Example 2: ["Front view", "Back view", "Left side view", "Right side view"]`;
+
+    let views = ['Front view', 'Back view', 'Left side view', 'Right side view'];
+    try {
+      const viewResult = await textModel.generateContent(viewPrompt);
+      const textResponse = viewResult.response.text().trim();
+      const match = textResponse.match(/\[.*\]/s);
+      if (match) {
+        views = JSON.parse(match[0]);
+      }
+    } catch (e) {
+      console.error("Failed to intelligently determine views, falling back to 4 views", e);
+    }
+
+    // Run parallel generation for determined views
     const promises = views.map(async (view, index) => {
       const fullPrompt = `A clean, isolated 3D render concept art of: ${prompt}. 
 Focus ONLY on the object itself.