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title: OperationCondition
emoji: 馃殌
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)
- Aceleraci贸n_LA (Aceleraci贸n Lado del Acople)
- Velocidad_LA (Velocidad Lado del Acople)
- Envolvente_LA (Envolvente Lado del Acople)
- Aceleraci贸n_LI (Aceleraci贸n Lado del Impulsor)
- Velocidad_LI (Velocidad Lado del Impulsor)
- Envolvente_LI (Envolvente Lado del Impulsor)
- Horas_Op (OHoras de Operaci贸n)
## Cluster Definitions
- 0: Operaci贸n Cr铆tica (Critical Operation)
- 1: Operaci贸n Sub-贸ptima (Sub-optimal Operation)
- 2: Operaci贸n 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
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