Upload README.md.huggingface

README.md.huggingface

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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`.