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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
21 lines
553 B
Markdown
21 lines
553 B
Markdown
<div align="center">
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<img width="1200" height="475" alt="GHBanner" src="https://github.com/user-attachments/assets/0aa67016-6eaf-458a-adb2-6e31a0763ed6" />
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</div>
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# Run and deploy your AI Studio app
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This contains everything you need to run your app locally.
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View your app in AI Studio: https://ai.studio/apps/drive/1Mgfuv-RfjAfP0upna5yO9_ji7D6oZpU-
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## Run Locally
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**Prerequisites:** Node.js
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1. Install dependencies:
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`npm install`
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2. Set the `GEMINI_API_KEY` in [.env.local](.env.local) to your Gemini API key
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3. Run the app:
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`npm run dev`
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