Spaces:
Sleeping
Sleeping
File size: 1,582 Bytes
6d7fe95 626173a 6d7fe95 626173a 6d7fe95 626173a 6d7fe95 626173a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 |
---
title: GLM-4.5V CAD Generator
emoji: 🔧
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
---
# 🔧 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. |