README.md

metadata

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

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

@inproceedings{zhang2023pgps,
  title={PGPS: A Neural Geometric Solver},
  author={Zhang, Mingliang and others},
  booktitle={IJCAI 2023},
  year={2023}
}