---
title: Interactive Topic Modeler
emoji: 🧠
colorFrom: indigo
colorTo: purple
sdk: gradio
python_version: "3.10"
app_file: app.py
pinned: false
license: mit
---

# Interactive Topic Modeler

This is a premium, lightweight, interactive topic modeling tool designed specifically for computational social science and humanities courses.

## Features
- **Flexible Data Input**: Upload `.csv`, `.xlsx`, or `.txt` datasets directly. For tabular data, select any target text column for analysis.
- **Multiple Algorithms**:
  - **LDA (Latent Dirichlet Allocation)**: Fast, traditional topic modeling running locally on CPU.
  - **NMF (Non-Negative Matrix Factorization)**: Classic linear algebraic topic modeling.
  - **BERTopic (API Mode)**: Utilizes advanced neural embeddings via Hugging Face Serverless API with your personal access token.
- **Interactive Visualizations**: View plotly bar charts displaying keywords and importance weights per topic.
- **Download Labeled Dataset**: Automatically outputs a downloadable version of the original dataset annotated with the assigned topics and document probabilities.