---
title: OperationCondition
emoji: 🚀
colorFrom: pink
colorTo: purple
sdk: gradio
sdk_version: 4.42.0
app_file: app.py
pinned: false
---

# Cluster Prediction Model Deployment

## Overview
This application uses a machine learning model to predict the operation cluster of machinery based on input features. It is built using Gradio and hosted on Hugging Face Spaces for easy access and interaction.

## Features
The application accepts the following features to make predictions:
- RPM (Revoluciones Por Minuto del equipo)
- Aceleración_LA (Aceleración Lado del Acople)
- Velocidad_LA (Velocidad Lado del Acople)
- Envolvente_LA (Envolvente Lado del Acople)
- Aceleración_LI (Aceleración Lado del Impulsor)
- Velocidad_LI (Velocidad Lado del Impulsor)
- Envolvente_LI (Envolvente Lado del Impulsor)
- Horas_Op (OHoras de Operación)

## Cluster Definitions
- 0: Operación Crítica (Critical Operation)
- 1: Operación Sub-óptima (Sub-optimal Operation)
- 2: Operación Normal (Normal Operation)

## How to Use
Enter the values for each feature as instructed in the interface and click the 'Submit' button to see the predicted operation condition.

## Deployment
This application is hosted on Hugging Face Spaces, allowing for easy access and interactive use through a web-based interface.

Enjoy interacting with the model!


Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference