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---
title: PGPS Geometric Problem Solver
emoji: 📐
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 5.43.1
app_file: app.py
pinned: false
license: apache-2.0
---
# PGPS: Neural Geometric Problem Solver Demo
This Space demonstrates the PGPS (Plane Geometry Problem Solver) model, which uses multi-modal neural networks to solve geometry problems.
## How to Use
1. **Upload a Geometry Diagram**: Upload an image containing a geometric diagram (triangles, angles, lines, etc.)
2. **Enter Problem Text**: Provide the text description of the geometry problem
3. **Get Solution**: The model will analyze both the diagram and text to generate a solution
## Model Details
- **Architecture**: Multi-modal neural network with visual encoder and text encoder
- **Task**: Geometric problem solving
- **Paper**: IJCAI 2023
- **Original Repository**: [GitHub](https://github.com/mingliangzhang2018/PGPS)
## Features
- Visual diagram parsing
- Text understanding for geometric problems
- Expression generation for solutions
- Support for various geometry problem types
## Limitations
- Best performance with clear, simple geometric diagrams
- Requires both image and text input for optimal results
- Limited to plane geometry problems
## Citation
```bibtex
@inproceedings{zhang2023pgps,
title={PGPS: A Neural Geometric Solver},
author={Zhang, Mingliang and others},
booktitle={IJCAI 2023},
year={2023}
}
``` |