README.md

metadata

title: Embedding Explorer
emoji: 📐
colorFrom: purple
colorTo: indigo
sdk: gradio
sdk_version: 6.5.1
app_file: app.py
pinned: false

Embedding Explorer

Interactive word vector visualization for the Responsible AI course at Huston-Tillotson University.

Features

• Explore — Type words, see them in 3D space. Similar words cluster together. Click a word to see its nearest neighbors.
• Vector Math — Word arithmetic like king - man + woman ≈ queen. Results reveal hidden relationships encoded in the vectors.

Configuration

All examples are configurable via HuggingFace Space environment variables (no code changes needed):

Variable	Default	Description
EXPLORE_EXAMPLES	["dog cat fish car truck", ...]	JSON list of word groups for Explore tab
ARITHMETIC_EXAMPLES	["king - man + woman", ...]	JSON list of expressions for Vector Math tab
N_NEIGHBORS	8	Number of nearest neighbors to show on click

Model

Uses GloVe (Global Vectors for Word Representation) trained on Wikipedia + Gigaword — 400K words, 300 dimensions. Downloaded automatically on first startup via gensim (~376 MB, cached for subsequent runs).

Course

Responsible AI: Technology, Power, and Justice (COSC-2300A) Huston-Tillotson University, Spring 2026 Instructor: Chris Hyams