---
license: openrail
language:
- en
---
# Spark + Gradio Demo Space

This Hugging Face Space demonstrates running a local PySpark session inside a Gradio web app. Users can enter text or upload data, and Spark will process it on the fly.

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## Features

- **Word Count Demo**: Counts words in an input sentence using PySpark DataFrame APIs.
- **Spark Session**: Leverages a local `SparkSession` for fast, in-memory DataFrame operations.
- **Gradio UI**: Simple, interactive interface for text input and results display.
- **Extensible**: Swap out the `count_words` function for any Spark-powered ETL, ML pipeline, or DataFrame operation.

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## Files

- `app.py` — Main Gradio application that initializes Spark, defines the demo function, and launches the UI.
- `requirements.txt` — Python dependencies:  
  ```text
  gradio
  pyspark==3.3.2