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| title: DataBot ERP Assistant | |
| emoji: π€ | |
| colorFrom: blue | |
| colorTo: indigo | |
| sdk: gradio | |
| sdk_version: "5.20.0" | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| # DataBot β ERP Database Assistant | |
| DataBot lets you ask **natural-language questions** about your ERP database. | |
| It uses GPT-4o to translate your question into SQL, executes it safely on your | |
| MySQL database, and returns a plain-English summary. | |
| ## Features | |
| - Natural-language β SQL β plain-English answers | |
| - Whitelist-based table access control (`data_access_config.json`) | |
| - Blocks all write operations (INSERT / UPDATE / DELETE / DROP β¦) | |
| - Masks sensitive columns (passwords, IBAN, salary, PII) | |
| - Schema cached at startup for fast responses | |
| ## Setup (Hugging Face Spaces) | |
| Set the following **Secrets** in your Space settings | |
| (*Settings β Variables and secrets β New secret*): | |
| | Secret name | Description | | |
| |----------------|---------------------------------------| | |
| | `DB_USER` | MySQL username | | |
| | `DB_PASSWORD` | MySQL password | | |
| | `DB_HOST` | MySQL host IP / domain | | |
| | `DB_NAME` | Database name (default: `dev_poly`) | | |
| | `OPENAI_API_KEY` | Your OpenAI API key | | |
| | `LLM_MODEL` | Model to use (default: `gpt-4o`) | | |
| ## Local Development | |
| ```bash | |
| # 1. Clone the repo and create .env | |
| cp .env.example .env # fill in your credentials | |
| # 2. Install dependencies | |
| pip install -r requirements.txt | |
| # 3. Run locally | |
| python app.py | |
| ``` | |
| Then open http://localhost:7860 in your browser. | |