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Deployment

Module 5: Deployment

In this module, we focus on deploying the Churn Prediction System so it can be used outside the notebook. Until now, the model runs in Google Colab where we manually execute cells. Deployment converts it into a simple interface where users can enter customer details and instantly get churn predictions.

For this project, we use Gradio because it is lightweight, beginner-friendly, and works smoothly with Python machine learning models.

By the end of this module, your model will have a working UI that accepts input and displays predictions dynamically, making it ready for demos and project submissions.