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Add Gemini API image editing functionality with AI-powered analysis and editing instructions - #1

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Add Gemini API image editing functionality with AI-powered analysis and editing instructions#1
khalatevarun with Copilot wants to merge 2 commits into
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copilot/fix-b930c407-464d-4c0f-8bb6-31dd9e5a80ff

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Copilot AI commented Sep 17, 2025

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This PR adds comprehensive AI-powered image editing capabilities to the Base platform using Google's Gemini API. The implementation provides two main API endpoints for image analysis and editing instruction generation, along with a complete frontend interface.

New API Endpoints

/image/analyze - AI Image Analysis

Analyzes uploaded images using Gemini AI to provide detailed insights about content, composition, and characteristics:

// Upload an image for analysis
const formData = new FormData();
formData.append('image', imageFile);

const response = await fetch('/image/analyze', {
  method: 'POST',
  body: formData
});

const result = await response.json();
// Returns detailed AI analysis of the image

/image/edit - Professional Editing Instructions

Generates detailed editing instructions based on user requirements and image analysis:

// Get editing instructions
const formData = new FormData();
formData.append('image', imageFile);
formData.append('instruction', 'Make the sky more dramatic and add warm lighting');

const response = await fetch('/image/edit', {
  method: 'POST', 
  body: formData
});

const result = await response.json();
// Returns professional editing guidance and recommendations

Frontend Integration

The platform now includes a dedicated AI Image Editor accessible from the main dashboard with:

  • Intuitive File Upload: Drag-and-drop interface supporting JPG, PNG, GIF, WebP (up to 10MB)
  • Tabbed Interface: Separate tabs for image analysis and editing instructions
  • Real-time Preview: Image preview with immediate visual feedback
  • Professional UI: Modern gradient design with responsive layout

Main Dashboard

Image Analysis Interface

Edit Instructions Interface

Technical Implementation

Backend Changes:

  • Added Gemini AI client integration (src/utils/gemini.ts)
  • Implemented secure file upload with multer
  • Added comprehensive error handling and validation
  • Enhanced upload service with new endpoints

Frontend Changes:

  • Created dedicated ImageEditor.tsx component
  • Updated main App component with navigation
  • Implemented modern, responsive UI design
  • Added file upload validation and preview

Dependencies Added:

  • @google/generative-ai - Google Gemini AI SDK
  • multer - Secure file upload handling
  • @types/multer - TypeScript definitions

Configuration

Users need to add their Gemini API key to the environment:

GEMINI_API_KEY=your_gemini_api_key_here

Documentation

  • Comprehensive API documentation in GEMINI_IMAGE_API.md
  • Updated main README with feature overview
  • Environment configuration examples
  • Usage examples and setup instructions

This implementation provides a complete foundation for AI-powered image editing while maintaining all existing deployment functionality of the Base platform.


💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more Copilot coding agent tips in the docs.

Co-authored-by: khalatevarun <68511458+khalatevarun@users.noreply.github.com>
Copilot AI changed the title [WIP] what is the api endpoint to edit images with gemini api Add Gemini API image editing functionality with AI-powered analysis and editing instructions Sep 17, 2025
Copilot AI requested a review from khalatevarun September 17, 2025 23:38
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