Streamlit
1 Introduction to Streamlit
1.1 What is Streamlit?
1.2 Why use Streamlit?
1.3 Setting up the environment
1.4 Creating your first Streamlit app
2 Basic Components
2.1 Text elements
2.1 1 Displaying text
2.1 2 Formatting text
2.2 Data display elements
2.2 1 Displaying data frames
2.2 2 Displaying tables
2.3 Input widgets
2.3 1 Text input
2.3 2 Number input
2.3 3 Date input
2.3 4 Dropdown selection
2.3 5 Slider
2.3 6 Checkbox
2.3 7 Radio buttons
2.3 8 Buttons
3 Advanced Components
3.1 Interactive widgets
3.1 1 Multiselect
3.1 2 File uploader
3.1 3 Color picker
3.2 Media elements
3.2 1 Displaying images
3.2 2 Displaying videos
3.2 3 Displaying audio
3.3 Chart elements
3.3 1 Line chart
3.3 2 Bar chart
3.3 3 Area chart
3.3 4 Scatter chart
3.3 5 Map chart
4 Layout and Styling
4.1 Layout components
4.1 1 Columns
4.1 2 Tabs
4.1 3 Expander
4.2 Styling elements
4.2 1 Custom CSS
4.2 2 Theming
4.2 3 Adding custom fonts
5 State Management
5.1 Session state
5.1 1 Managing state across reruns
5.1 2 Persisting state
5.2 Caching
5.2 1 Caching functions
5.2 2 Caching data
6 Deployment
6.1 Deploying to Streamlit Sharing
6.1 1 Setting up Streamlit Sharing
6.1 2 Deploying your app
6.2 Deploying to other platforms
6.2 1 Deploying to Heroku
6.2 2 Deploying to AWS
6.2 3 Deploying to Google Cloud
7 Best Practices
7.1 Writing clean and maintainable code
7.2 Optimizing performance
7.3 Handling errors and exceptions
7.4 Version control with Git
8 Advanced Topics
8.1 Integrating with other libraries
8.1 1 Integrating with Pandas
8.1 2 Integrating with Plotly
8.1 3 Integrating with TensorFlow
8.2 Building complex apps
8.2 1 Creating multi-page apps
8.2 2 Handling authentication
8.2 3 Building interactive dashboards
8.3 Custom components
8.3 1 Creating custom widgets
8.3 2 Extending Streamlit with custom components
9 Case Studies
9.1 Building a data exploration app
9.2 Building a machine learning model deployment app
9.3 Building a real-time data visualization app
6 2 Deploying to Other Platforms Explained

2 Deploying to Other Platforms Explained

Key Concepts

Deployment

Deployment is the process of making your Streamlit application available for users to access over the internet. This involves uploading your application code to a hosting service and configuring it to run.

Platforms

There are several platforms where you can deploy your Streamlit app. Some popular options include:

CI/CD

Continuous Integration (CI) and Continuous Deployment (CD) are practices that involve automating the process of integrating code changes and deploying them to production. This ensures that your application is always up-to-date and can be released quickly.

# Example of a GitHub Actions CI/CD workflow for deploying a Streamlit app to Heroku
name: Deploy to Heroku

on:
  push:
    branches:
      - main

jobs:
  build:
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v2
    - name: Set up Python
      uses: actions/setup-python@v2
      with:
        python-version: '3.8'
    - name: Install dependencies
      run: |
        python -m pip install --upgrade pip
        pip install -r requirements.txt
    - name: Deploy to Heroku
      uses: akhileshns/heroku-deploy@v3.12.12
      with:
        heroku_api_key: ${{ secrets.HEROKU_API_KEY }}
        heroku_app_name: "your-heroku-app-name"
        heroku_email: "your-email@example.com"
    

Environment Variables

Environment variables are configuration settings that are not hard-coded in your application. They allow you to store sensitive information like API keys and database credentials securely. Most deployment platforms provide a way to set environment variables.

# Example of setting environment variables in a .env file
API_KEY=your_api_key
DATABASE_URL=your_database_url
    

Scaling

Scaling refers to the ability of your application to handle increased traffic and load. Most cloud platforms offer auto-scaling features that automatically adjust the resources allocated to your application based on demand.

# Example of configuring auto-scaling in AWS
aws autoscaling create-auto-scaling-group --auto-scaling-group-name my-asg \
    --launch-configuration-name my-launch-config \
    --min-size 1 --max-size 3 --desired-capacity 2 \
    --vpc-zone-identifier "subnet-5ea0c127,subnet-6194ea3b,subnet-c934b782"
    

Analogies

Think of deploying your Streamlit app as moving into a new house. The platform you choose is like the neighborhood where your house is located. CI/CD is like having a moving company that automates the process of moving your belongings. Environment variables are like storing your valuables in a safe place, and scaling is like having a house that can expand or contract based on the number of guests you have.

By mastering the deployment of Streamlit apps to other platforms, you can ensure that your applications are accessible, secure, and capable of handling varying levels of traffic and load.