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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.
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