Update README.md

README.md

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 ---
-title: ML CADquery
-emoji: 🏆
-colorFrom: pink
-colorTo: purple
+title: GLM-4.5V CAD Generator
+emoji: 🔧
+colorFrom: blue
+colorTo: green
 sdk: gradio
-sdk_version: 5.43.1
+sdk_version: 4.44.0
 app_file: app.py
 pinned: false
+license: mit
+hardware: zero-gpu
+python_version: 3.11
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 🔧 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.