README.md

metadata

title: ESCP Notebook Runner
emoji: 📊
colorFrom: indigo
colorTo: blue
sdk: gradio
sdk_version: 6.9.0
python_version: 3.10.13
app_file: app.py
pinned: false

ESCP Notebook Runner

This Hugging Face Space runs one bundled Jupyter notebook on two bundled CSV datasets and shows the outputs in a Gradio dashboard.

Included files

• app.py — Gradio app
• analysis.ipynb — bundled notebook
• synthetic_book_reviews.csv — bundled reviews dataset
• synthetic_sales_data.csv — bundled sales dataset
• requirements.txt — Python dependencies
• style.css — clean styling with no background images
• artifacts/ — where notebook outputs are saved
• runs/ — executed notebook copies

Why this update was needed

The previous version built the image, but the app could still fail at runtime because:

1. CSS was passed to demo.launch(...) instead of gr.Blocks(..., css=...)
2. the Space image used a newer Gradio runtime than the app code expected
3. Python 3.13 can break notebook/data-science dependencies more often than Python 3.10

How to use it

1. Create a new Hugging Face Gradio Space.
2. Upload all files from this folder.
3. Wait for the build to finish.
4. Open the Space and click Run Full Pipeline.
5. Open Dashboard and click Refresh Dashboard.

You can leave the three upload fields empty to use the bundled notebook and CSV files.