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| title: PosterGen | |
| emoji: π¨ | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 5.43.1 | |
| app_file: app.py | |
| pinned: false | |
| short_description: Multi-Agent Academic Poster Generation | |
| # PosterGen: Multi-Agent Academic Poster Generation | |
| Generate design-aware academic posters from PDF papers using AI-powered multi-agent workflow. | |
| ## Features | |
| - π Upload PDF papers and logos | |
| - π€ Choose from multiple AI models (Claude, GPT-4) | |
| - π Configurable poster dimensions | |
| - π¨ Design-aware layout generation | |
| - π₯ Download complete poster meta data | |
| ## Usage | |
| 1. Upload your PDF paper and logo images | |
| 2. Select AI models for text and vision processing | |
| 3. Configure poster dimensions (ratio should be 1.4-2.0) | |
| 4. Click "Generate Poster" and wait for completion | |
| 5. Preview and download your generated poster | |
| ## Requirements | |
| - Valid API keys for Anthropic Claude or OpenAI GPT models | |
| - PDF paper file | |
| - Conference and affiliation logo images | |
| ## API Keys | |
| Enter your API keys directly in the secure password fields in the interface. | |
| API keys are processed securely and not stored or logged. | |
| ## System Requirements | |
| - LibreOffice (automatically installed via packages.txt) | |
| - Python dependencies (automatically installed via requirements.txt) | |
| ## Note | |
| Generation may take several minutes depending on paper length. |