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| title: ESCP Book Analytics Space | |
| emoji: 📚 | |
| colorFrom: purple | |
| colorTo: indigo | |
| sdk: gradio | |
| sdk_version: "5.23.3" | |
| app_file: app.py | |
| pinned: false | |
| python_version: "3.10" | |
| # ESCP Book Analytics Space | |
| This Hugging Face Space runs the included Jupyter notebook automatically and turns the saved outputs into: | |
| - KPI cards | |
| - Interactive sales charts | |
| - Sentiment charts | |
| - Top-seller analysis | |
| - Table previews | |
| - A simple AI dashboard for natural-language questions | |
| ## Files included | |
| - `app.py` — the Gradio application | |
| - `pythonanalysis.ipynb` — your uploaded analysis notebook | |
| - `synthetic_sales_data.csv` — sales dataset | |
| - `synthetic_book_reviews.csv` — reviews dataset | |
| - `style.css` — local styling with no background images | |
| - `requirements.txt` — pinned Python dependencies | |
| ## Environment variables | |
| Optional variables for the AI tab: | |
| - `HF_API_KEY` | |
| - `MODEL_NAME` | |
| - `HF_PROVIDER` | |
| - `PAPERMILL_TIMEOUT` | |
| - `AUTO_RUN_ON_LOAD` | |
| ## Notes | |
| The app creates notebook outputs inside: | |
| - `artifacts/py/figures` | |
| - `artifacts/py/tables` | |
| - `runs/` | |
| The app also sanitizes the notebook before execution so `!pip install ...` cells are skipped. Dependencies are handled by `requirements.txt`. | |