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 3 Deploying to Google Cloud Explained

2 3 Deploying to Google Cloud Explained

Key Concepts

Google Cloud Platform (GCP)

Google Cloud Platform (GCP) is a suite of cloud computing services provided by Google. It offers a variety of services, including computing power, data storage, and machine learning tools, which can be used to deploy and manage applications.

App Engine

Google Cloud App Engine is a fully managed platform for building and hosting web applications. It allows you to deploy your applications without worrying about the underlying infrastructure, making it ideal for deploying Streamlit apps.

Deployment Process

The deployment process to Google Cloud App Engine involves several steps:

  1. Create a Google Cloud project.
  2. Set up the necessary environment configuration.
  3. Deploy the Streamlit app using the Google Cloud SDK.
  4. Configure scaling options to handle traffic.

Environment Configuration

Setting up the necessary environment for deployment involves creating a app.yaml file, which defines the runtime environment and other configuration settings for your app.

Scaling

Scaling involves managing resources to handle increased traffic. Google Cloud App Engine provides automatic scaling options based on traffic and resource usage.

Examples

Example 1: Creating a Google Cloud Project

# Go to the Google Cloud Console
# Create a new project
# Note the project ID
    

Example 2: Setting Up Environment Configuration

# Create an app.yaml file
runtime: python39
entrypoint: streamlit run app.py

# Install Google Cloud SDK
# Authenticate using gcloud auth login
    

Example 3: Deploying the Streamlit App

# Navigate to your project directory
gcloud app deploy
    

Example 4: Configuring Scaling Options

# Modify the app.yaml file for scaling
automatic_scaling:
  min_num_instances: 1
  max_num_instances: 10
    

Analogies

Think of Google Cloud Platform as a vast warehouse where you can store and manage your goods. App Engine is like a specialized section of this warehouse designed for hosting and managing web applications. The deployment process is akin to setting up your shop in this section, ensuring everything is in place for your customers to visit. Environment configuration is like setting up the layout and utilities in your shop, while scaling is like expanding your shop to accommodate more customers.

By mastering the deployment process to Google Cloud, you can efficiently host and manage your Streamlit applications, ensuring they are accessible and scalable for your users.