Diabetes-Progression-Prediction-with-Regression

Diabetes Progression Prediction App

This application predicts the progression of diabetes based on various health factors. It's built with Python and Streamlit, and can be run locally, in a Docker container, or deployed with Kubernetes.

Deploying the App With Streamlit only

Follow these steps to run the app without Docker:

1. Install the dependencies from the Pipfile:

   pip install pipenv
   pipenv install --deploy --ignore-pipfile

2. Run the Streamlit app:

   streamlit run app.py

Deploying the App With Docker and streamlit

Follow these steps to run the app with Docker:

1. Save the Dockerfile. If you're using Windows, you can create a new text file named "Dockerfile" in Notepad.
2. Build the Docker image:

   cd ..
   docker build -t diabetic_pred .

3. Run the Docker container:

   docker run -p 8501:8501 diabetic_pred

Deploying the App With Kubernetes

Follow these steps to deploy the app with Kubernetes:

1. Change the name of the image in the deploy.yaml file.
2. Apply the deployment configuration:

   kubectl apply -f deploy.yaml

Access the app at: http://localhost:8501/