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A newer version of the Gradio SDK is available: 6.24.0

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metadata 
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