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| title: Sustainable Content Moderation | |
| emoji: 🌍 | |
| colorFrom: green | |
| colorTo: blue | |
| sdk: gradio | |
| sdk_version: 5.16.0 | |
| app_file: app.py | |
| pinned: false | |
| # Multi-Model multi-agent Analysis System | |
| A multi-agent system for analyzing text and images using state-of-the-art AI models. | |
| ## Overview | |
| This application uses multiple AI agents to: | |
| - Process user queries (check if positive or negative) | |
| - Analyze images that the user uploads | |
| - Search relevant technical context (analyzes if the text and images are matching and related) | |
| - Generate comprehensive analysis reports (see if text is positive/ negative and image is positive/ negative. subsequently check if text and images are coorelated and perform analysis) | |
| ## Usage | |
| 1. Enter your query | |
| 2. (Optional) Add any specific constraints | |
| 3. Upload equipment images (supported formats: JPG, JPEG, PNG) | |
| 4. Select number of top results to show | |
| 5. Choose report format (summary/detailed) | |
| 6. Click "Analyze" to process | |
| ## Technical Details | |
| - Built with Gradio 5.16.0 | |
| - Uses multi-model approach: | |
| - Lightweight models for initial processing | |
| - Advanced models for detailed analysis | |
| - Implements memory-efficient processing | |
| - Supports batch image processing | |
| ## Limitations | |
| - Maximum image size: 5MB | |
| - Maximum resolution: 2048x2048 | |
| - Maximum images per request: 10 | |
| - Query length limit: 500 characters | |
| ## Models Used | |
| - Image Captioning: BLIP and BLIP-2 | |
| - Image Classification: ResNet and ViT | |
| - Text Processing: LaMini-Flan-T5 | |
| ## Requirements | |
| - Python 3.8+ | |
| - See requirements.txt for full dependencies | |
| ## Local Development | |
| `pip install -r requirements.txt python app.py` | |
| ## Deployment | |
| This app is optimized for HuggingFace Spaces deployment. | |
| ## Error Handling | |
| - Input validation with clear error messages | |
| - Resource monitoring and automatic cleanup | |
| - Graceful error recovery | |
| ## Credits | |
| - Built using HuggingFace's model hub | |
| - Powered by Gradio interface | |
| - Uses Wikipedia API for context gathering | |
| ## License | |
| MIT License | |
| ## Support | |
| For issues or questions, please open a GitHub issue. |