PDFs are now converted to PNG images at 200 DPI before being sent to Gemini for analysis. This fixes the unreliable iframe-based PDF preview and ensures all pages are properly analyzed. - Add PyMuPDF dependency for PDF rasterization - Create pdf_service.py with rasterize() and get_page_count() - Update agent interfaces to accept list of images for multi-page support - Add analyze_with_images() to Gemini service for multi-image analysis - Return rasterized PDF pages via WebSocket for frontend display - Add page navigation UI for multi-page PDFs in preview components Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> |
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| .. | ||
| components | ||
| services | ||
| utils | ||
| App.tsx | ||
| constants.ts | ||
| index.html | ||
| index.tsx | ||
| metadata.json | ||
| package-lock.json | ||
| package.json | ||
| README.md | ||
| tsconfig.json | ||
| types.ts | ||
| vite.config.ts | ||
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/1vH-R-vj0Xkk_g2ZFdHtLxNc12sFTOl2L
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