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| title: GLM-4.5V CAD Generator | |
| emoji: π§ | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 4.44.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| hardware: zero-gpu | |
| python_version: 3.11 | |
| # π§ GLM-4.5V CAD Generator | |
| Generate CADQuery Python code from 3D CAD model images using GLM-4.5V vision-language models! | |
| ## Features | |
| - **Multiple GLM-4.5V variants**: AWQ, FP8, and full precision models | |
| - **Advanced prompting**: Simple, detailed, and chain-of-thought styles | |
| - **Real-time generation**: GPU-accelerated inference on Zero GPU | |
| - **Code extraction**: Automatic cleaning and formatting of generated CADQuery code | |
| - **Evaluation ready**: Compatible with existing VSR and IoU metrics | |
| ## Usage | |
| 1. Upload a clear 3D CAD model image | |
| 2. Select your preferred GLM-4.5V model variant | |
| 3. Choose a prompting style | |
| 4. Click "Generate CADQuery Code" | |
| 5. Copy the generated Python code and run it locally | |
| ## Models | |
| - **GLM-4.5V-AWQ**: Fastest startup, good quality | |
| - **GLM-4.5V-FP8**: Balanced speed and quality | |
| - **GLM-4.5V**: Best quality, slower startup | |
| ## Tips | |
| - Use clear, well-lit CAD images for best results | |
| - Simple geometric shapes work better than complex assemblies | |
| - Try different prompt styles if first attempt isn't satisfactory | |
| - Generated code may need minor adjustments for complex geometries | |
| ## Technical Details | |
| This app uses Hugging Face Zero GPU for serverless GPU allocation and the latest GLM-4.5V vision-language models for image-to-code generation. The generated CADQuery code follows standard patterns with proper imports and result variables. |