ml_streamlit/docs/getting-started.md

Getting Started

Prerequisites

• Python 3.7+
• Streamlit
• Scikit-learn
• Joblib

Installation

1. Clone the repository
2. Install dependencies:

pip install -r requirements.txt

Running the Application

Run the Streamlit application with:

streamlit run streamlit.py

The application will open in your default web browser, typically at http://localhost:8501.

Development

To modify the application:

1. Edit the streamlit.py file to change the UI or functionality
2. The application will automatically reload when you save changes

Deployment

Streamlit applications can be deployed in several ways:

1. Streamlit Sharing: A free hosting service for Streamlit apps
2. Heroku: Deploy using a Procfile and requirements.txt
3. Docker: Containerize the application for deployment anywhere

For deployment, ensure that the model and scaler files are included with the application code.