README.md

---
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`.