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| title: Energy Consumption Estimator | |
| emoji: ⚡ | |
| colorFrom: green | |
| colorTo: blue | |
| sdk: streamlit | |
| sdk_version: 1.43.1 | |
| app_file: main.py | |
| pinned: false | |
| # Energy Consumption Estimator | |
| This Streamlit app estimates energy consumption based on client attributes using a machine learning model. | |
| ## Features | |
| - User-friendly web interface | |
| - Form-based input for client information | |
| - Instant energy consumption estimation | |
| - Responsive design that works on desktop and mobile | |
| ## Input Parameters | |
| - **Age**: Client's age | |
| - **Marital Status**: Single, Married, Separated, Divorced, Widowed, or Other | |
| - **Day/Night Consumption**: Current consumption value | |
| - **Income Level**: Income bracket | |
| - **Dwelling Area**: Type of area where the client lives | |
| - **Children**: Whether the client has children | |
| - **Solar Panel**: Whether the client has solar panels | |
| - **Attitude Towards Sustainability**: Client's attitude towards sustainability | |
| - **Tariff**: Type of tariff plan | |
| ## Important Note | |
| For the app to function properly, you need to upload the following files to this Space: | |
| - `model.pickle` (your trained model) | |
| - `encoder.pickle` (your encoder) | |
| These files should be placed in the same directory as `main.py`. | |