Update pages/api/generate.js
Browse files- pages/api/generate.js +33 -29
pages/api/generate.js
CHANGED
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@@ -2,33 +2,33 @@ import { GoogleGenerativeAI } from "@google/generative-ai";
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export default async function handler(req, res) {
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// Only allow POST requests
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if (req.method !==
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return res.status(405).json({ error:
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}
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// Get prompt, drawing, and custom API key from request body
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const { prompt, drawingData, customApiKey } = req.body;
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-
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// Log request details (truncating drawingData for brevity)
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console.log("API Request:", {
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prompt,
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hasDrawingData: !!drawingData,
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drawingDataLength: drawingData ? drawingData.length : 0,
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drawingDataSample: drawingData ? `${drawingData.substring(0, 50)}... (truncated)` : null,
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hasCustomApiKey: !!customApiKey
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});
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if (!prompt) {
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return res.status(400).json({ error:
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}
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// Use custom API key if provided, otherwise use the one from environment variables
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const apiKey = customApiKey || process.env.GEMINI_API_KEY;
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if (!apiKey) {
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return res.status(400).json({
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success: false,
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error:
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});
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}
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@@ -38,46 +38,50 @@ export default async function handler(req, res) {
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const model = genAI.getGenerativeModel({
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model: "gemini-2.0-flash-exp-image-generation",
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generationConfig: {
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responseModalities: [
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},
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});
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try {
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let generationContent;
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-
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// If drawingData is provided, include it as an image in the request
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if (drawingData) {
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// Create a content part with the base64-encoded image
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const imagePart = {
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inlineData: {
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data: drawingData,
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mimeType: "image/png"
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}
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};
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-
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// Combine drawing with text prompt
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generationContent = [
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imagePart,
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];
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console.log("Using multipart content with drawing data and prompt");
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} else {
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// Use text-only prompt if no drawing is provided
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generationContent = prompt;
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console.log("Using text-only prompt");
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}
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console.log("Calling Gemini API...");
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const response = await model.generateContent(generationContent);
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console.log("Gemini API response received");
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// Initialize response data
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const result = {
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success: true,
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message:
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imageData: null
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};
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// Process response parts
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for (const part of response.response.candidates[0].content.parts) {
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// Based on the part type, either get the text or image data
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@@ -87,19 +91,19 @@ export default async function handler(req, res) {
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} else if (part.inlineData) {
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const imageData = part.inlineData.data;
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console.log("Received image data, length:", imageData.length);
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// Include the base64 data in the response
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result.imageData = imageData;
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}
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}
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-
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console.log("Sending successful response");
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return res.status(200).json(result);
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} catch (error) {
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console.error("Error generating content:", error);
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return res.status(500).json({
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success: false,
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error: error.message ||
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});
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}
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}
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export default async function handler(req, res) {
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// Only allow POST requests
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if (req.method !== "POST") {
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return res.status(405).json({ error: "Method not allowed" });
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}
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// Get prompt, drawing, and custom API key from request body
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const { prompt, drawingData, customApiKey } = req.body;
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+
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// Log request details (truncating drawingData for brevity)
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console.log("API Request:", {
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prompt,
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hasDrawingData: !!drawingData,
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drawingDataLength: drawingData ? drawingData.length : 0,
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drawingDataSample: drawingData ? `${drawingData.substring(0, 50)}... (truncated)` : null,
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hasCustomApiKey: !!customApiKey,
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});
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if (!prompt && !drawingData) {
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return res.status(400).json({ error: "Either prompt or drawingData is required" });
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}
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// Use custom API key if provided, otherwise use the one from environment variables
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const apiKey = customApiKey || process.env.GEMINI_API_KEY;
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if (!apiKey) {
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return res.status(400).json({
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success: false,
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error: "No API key available. Please provide a valid Gemini API key.",
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});
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}
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const model = genAI.getGenerativeModel({
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model: "gemini-2.0-flash-exp-image-generation",
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generationConfig: {
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responseModalities: ["Text", "Image"],
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},
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});
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try {
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let generationContent;
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// If drawingData is provided, include it as an image in the request
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if (drawingData) {
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// Create a content part with the base64-encoded image
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const imagePart = {
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inlineData: {
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data: drawingData,
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mimeType: "image/png",
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},
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};
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// Combine drawing with text prompt
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generationContent = [
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imagePart,
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{
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text: `${
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prompt ? prompt + ". " : ""
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}From the provided 2D plan layout as the starting point, convert it into a detailed 3D sketch, including walls, doors, windows, and basic furniture placement. Enhance the design with a realistic perspective and improve it to create a stunning 3D representation. Maintain the original style of the layout while adding depth and visual appeal.`,
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},
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];
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console.log("Using multipart content with drawing data and prompt");
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} else {
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// Use text-only prompt if no drawing is provided
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generationContent = prompt || "Convert a basic 2D plan layout into a detailed 3D sketch, including walls, doors, windows, and basic furniture placement. Enhance the design with a realistic perspective and improve it to create a stunning 3D representation.";
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console.log("Using text-only prompt");
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}
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console.log("Calling Gemini API...");
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const response = await model.generateContent(generationContent);
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console.log("Gemini API response received");
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// Initialize response data
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const result = {
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success: true,
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message: "",
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imageData: null,
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};
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// Process response parts
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for (const part of response.response.candidates[0].content.parts) {
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// Based on the part type, either get the text or image data
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} else if (part.inlineData) {
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const imageData = part.inlineData.data;
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console.log("Received image data, length:", imageData.length);
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// Include the base64 data in the response
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result.imageData = imageData;
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}
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}
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console.log("Sending successful response");
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return res.status(200).json(result);
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} catch (error) {
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console.error("Error generating content:", error);
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return res.status(500).json({
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success: false,
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error: error.message || "Failed to generate image",
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});
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}
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}
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