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| title: RegressionVibration | |
| emoji: 🚀 | |
| colorFrom: pink | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 4.42.0 | |
| app_file: app.py | |
| pinned: false | |
| # Predictive Model Deployment | |
| ## Overview | |
| This application uses a regression model to predict vibration values based on RPM and operational hours. It is built using Gradio to provide an interactive web interface for easy access. | |
| ## How to Use | |
| 1. Input the RPM and operational hours into the designated fields. | |
| 2. Submit the input to receive the vibration predictions displayed as a graph. | |
| 3. The graph provides a visualization of predicted values like acceleration, speed, and envelope at different parts of the machinery. | |
| ## Features | |
| - The model takes RPM and operational hours as input. | |
| - Outputs are displayed as a graph showing various vibration metrics. | |
| ## Deployment | |
| This app is deployed using Gradio, allowing users to interact with the model directly through a web browser. | |