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license: openrail |
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language: |
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- en |
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--- |
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# Spark + Gradio Demo Space |
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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 |
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- **Word Count Demo**: Counts words in an input sentence using PySpark DataFrame APIs. |
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- **Spark Session**: Leverages a local `SparkSession` for fast, in-memory DataFrame operations. |
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- **Gradio UI**: Simple, interactive interface for text input and results display. |
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- **Extensible**: Swap out the `count_words` function for any Spark-powered ETL, ML pipeline, or DataFrame operation. |
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## Files |
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- `app.py` — Main Gradio application that initializes Spark, defines the demo function, and launches the UI. |
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- `requirements.txt` — Python dependencies: |
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```text |
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gradio |
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pyspark==3.3.2 |
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