Recipe App on Streamlit - Session Details

Build a Recipe App Using Streamlit

This four-session series walks you through creating a fully functional Recipe App using Python’s Streamlit framework, the Spoonacular API, and Object-Oriented Programming principles.

Session 1 (November 1 - November 14): Theory & Setup

  • Overview: Introduction to Streamlit, planning the OOP structure (Ingredient, Recipe classes).
  • Topics:
    • Installing and configuring Streamlit
    • Introduction to Spoonacular API and getting an API key
    • Basic Python OOP review: classes, objects, methods
  • Outcome:
    • Local environment ready for Streamlit development
    • Basic skeleton of the application in app.py

Session 2 (November 15 - November 28): Implementation

  • Overview: Writing the main code for the app, implementing the OOP classes and hooking them up to Streamlit.
  • Topics:
    • Building the Recipe and Ingredient classes
    • Capturing user input with Streamlit’s UI elements
    • Making calls to the Spoonacular API and parsing JSON data
  • Outcome:
    • A functional UI that lets users add ingredients and fetch recipes
    • Initial version of the recipe details display

Session 3 (November 29 - December 12): Show Examples & Integrations

  • Overview: Enhancing the UI and finalizing the data flow from input to recipe display.
  • Topics:
    • Advanced Streamlit features (e.g. images, Markdown instructions)
    • Refining the OOP structure for user sessions (session state)
    • Ensuring robust error handling for missing or invalid data
  • Outcome:
    • A polished recipe lookup page that retrieves instructions and images
    • Clean code organization within the src directory

Session 4 (December 13 - December 26): Final Review & Deployment

  • Overview: Testing, final polishing, and deploying the app on Streamlit Community Cloud.
  • Topics:
    • End-to-end testing of the recipe search and display flow
    • Updating the README and project documentation
    • Hosting on Streamlit Community Cloud and sharing links
  • Outcome:
    • A fully deployed, publicly accessible Streamlit app
    • Confidence in your ability to build and deploy OOP-based Python apps

Referenced Repository

Check out the project’s source code on GitHub: Recipe App by Benji Mager