Streamlit ML Model Guide with Docker

Welcome to this step-by-step guide on building a simple Streamlit app that hosts a machine learning model—and deploying it using Docker. This project is designed for beginners, so no prior experience with Streamlit or Docker is required!

Overview

In this project, you'll learn how to:

• Create a basic web interface with Streamlit.
• Integrate a machine learning model into the app.
• Containerize the app using Docker for easy deployment.

By the end of this guide, you'll have a working app running locally and a Docker image you can deploy anywhere.

Step 1: Fork the Repository

Step 2: Set Up Your Python Environment

In terminal: pip install -r requirements.txt

Step 3: Set up Your Streamlit App

Add code in app.py

Step 4: Run the Streamlit App Locally

In terminal: streamlit run app.py

Step 5: Run the Dockerfile

In terminal: docker compose up