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| title: Klìnic | |
| emoji: 👍🏻 | |
| colorFrom: pink | |
| colorTo: blue | |
| sdk: streamlit | |
| sdk_version: 1.34.0 | |
| app_file: app.py | |
| pinned: false | |
| # Klìnic | |
| ## Architecture | |
|  | |
| ## Prerequisites | |
| - [git lfs](https://git-lfs.com/) | |
| - `pip install -r requirements.txt` | |
| ## Setup | |
| 1. Get pre-processed data (large files are stored using Git LFS - you need to have it installed) | |
| ```Shell | |
| git lfs fetch --all | |
| git lfs checkout | |
| ``` | |
| 2. Start the IRIS Docker container: | |
| ```Shell | |
| docker-compose up -d | |
| ``` | |
| 3. Open a Jupyter notebook we've created to populate the database and run all the cells: [database.ipynb](./database.ipynb) | |
| 4. create a .env file and add the following variable: | |
| ``` | |
| OPENAI_API_KEY=<your-openai-api-key> | |
| ``` | |
| 5. Run the app: `streamlit run app.py` | |
| ## Debugging | |
| - Navigate to http://localhost:52773/csp/sys/UtilHome.csp to access IRIS and login with username: `demo`, password: `demo` | |
| - You can execute SQL queries at 'System Explorer' → 'SQL' | |