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- Integrated Cloudflare R2 for template storage and converted file management - Added Google Gemini AI for resume parsing and HTML generation - Created backend API endpoints for templates, conversion, and history - Refactored frontend to use real API instead of mock data - Fixed Docker networking issues (IPv6/IPv4) for R2 connectivity - Added resumeService.ts for frontend API integration - Updated Vite configuration for proper asset serving in Docker - Successfully tested with 13 templates from R2 bucket
Run and deploy your AI Studio app
This contains everything you need to run your app locally.
View your app in AI Studio: https://ai.studio/apps/drive/1Mgfuv-RfjAfP0upna5yO9_ji7D6oZpU-
Run Locally
Prerequisites: Node.js
- Install dependencies:
npm install - Set the
GEMINI_API_KEYin .env.local to your Gemini API key - Run the app:
npm run dev