README.md

metadata

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

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.