---
title: IS 335 Demo
emoji: 🌳
colorFrom: purple
colorTo: red
sdk: gradio
sdk_version: 4.44.1
python_version: 3.9
app_file: app.py
pinned: false
license: apache-2.0
---

# IS-335 Demo

This Space hosts the UNLV Study Location Predictor used in IS 335. Move the sliders to explore how temperature, humidity, wind, and time of day influence a decision tree trained on synthetic Las Vegas weather data.

## Contents
- `app.py`: Gradio interface that generates the dataset, trains the model, and exposes the interactive UI.
- `requirements.txt`: Runtime dependencies for the Space.
- `interactive_decision_tree.html`: Original static prototype embedded in the app for reference.
- `decision_tree_tutorial.py`: Notebook-style script for lecture walkthroughs.

## Running Locally
```bash
python -m venv .venv
. .venv/bin/activate
pip install -r requirements.txt
python app.py
```

Set the `GRADIO_SERVER_PORT` environment variable if port 7860 is not available.