/how-to-build-lovable

How to build Recipe app with Lovable?

Learn how to build a recipe app with Lovable! Follow our step-by-step guide to create a beautiful, user-friendly cooking app in no time.

Matt Graham, CEO of Rapid Developers

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How to build Recipe app with Lovable?

 
Overview
 

  • This guide explains how to build a Recipe application using Lovable, a no-code tool.
  • The app will allow users to add recipes and delete them from a list.
  • All dependencies will be added via code as Lovable does not have a terminal.

 
Creating a New Lovable Project
 

  • Log into your Lovable account and create a new project.
  • Name your project “Recipe App”.
  • You will use the Lovable code editor to manage files and insert code snippets.

 
Setting Up the HTML Structure
 

  • Create a new file named index.html in your project.
  • Insert the following HTML code into index.html. This file sets up the structure of your recipe app and links to the CSS and JavaScript files.

<!DOCTYPE html>
<html lang="en">
  <head>
    <meta charset="UTF-8">
    <title>Recipe App</title>
    <link rel="stylesheet" href="styles.css">
    <!-- Example: Including a dependency via CDN if needed -->
    <!-- <script src="https://cdn.example.com/library.js"></script> -->
  </head>
  <body>
    <h1>My Recipe App</h1>
    <form id="recipe-form">
      <input type="text" id="recipe-name" placeholder="Enter Recipe Name" required>
      <button type="submit">Add Recipe</button>
    </form>
    <ul id="recipe-list"></ul>
    <script src="app.js"></script>
  </body>
</html>

 
Adding CSS Styles
 

  • Create a new file named styles.css in your project.
  • Insert the following CSS code into styles.css. This code styles your app and makes sure the recipe list looks neat.

body {
  font-family: Arial, sans-serif;
  margin: 20px;
}

h1 {
  color: #333;
}

#recipe-list {
  list-style-type: none;
  padding: 0;
}

#recipe-list li {
  background-color: #f4f4f4;
  border: 1px solid #ddd;
  margin-bottom: 5px;
  padding: 10px;
}

 
Implementing the Recipe App Functionality with JavaScript
 

  • Create a new file named app.js in your project.
  • Insert the following JavaScript code into app.js. This script handles user interactions such as adding recipes and deleting them from the list.

document.addEventListener('DOMContentLoaded', function() {
  const recipeForm = document.getElementById('recipe-form');
  const recipeNameInput = document.getElementById('recipe-name');
  const recipeList = document.getElementById('recipe-list');

  recipeForm.addEventListener('submit', function(event) {
    event.preventDefault();
    const recipeName = recipeNameInput.value.trim();
    if(recipeName !== '') {
      const li = document.createElement('li');
      li.textContent = recipeName;
      
      // Create a delete button for each recipe
      const deleteBtn = document.createElement('button');
      deleteBtn.textContent = 'Delete';
      deleteBtn.style.marginLeft = '10px';
      deleteBtn.addEventListener('click', function() {
        recipeList.removeChild(li);
      });
      
      li.appendChild(deleteBtn);
      recipeList.appendChild(li);
      recipeNameInput.value = '';
    }
  });
});

 
Installing Dependencies via Code
 

  • Since Lovable does not provide a terminal, any dependencies must be added directly in your code.
  • If you decide to use external libraries for additional features, include them using <script> tags in your index.html file within the <head> section.
  • For example, to include a library from a CDN, uncomment and customize the following line in your index.html file:

<script src="https://cdn.example.com/library.js"></script>

 
Testing Your Recipe Application
 

  • In Lovable, click the Run button to start your project.
  • The preview pane will display your Recipe App. Test by adding recipe names in the input field and clicking the “Add Recipe” button.
  • Each added recipe should appear in the list with a “Delete” button to remove it.

 
Updating and Debugging Your App
 

  • Each time you make changes to any file, simply save your project and click Run again.
  • Review the preview pane to ensure your changes are working as expected.
  • If you encounter any issues, check any error messages displayed and adjust the code accordingly.

 
Sharing Your Recipe Application
 

  • Once your app functions correctly, use Lovable’s sharing features to publish your project.
  • You can share the project URL with others to showcase your Recipe App.
  • For collaboration, invite team members to your project via Lovable’s collaboration settings.

Want to explore opportunities to work with us?

Connect with our team to unlock the full potential of no-code solutions with a no-commitment consultation!

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How to Load Recipes and Update Love Counts in Your Lovable Recipe App




  
    
    Recipe App with Lovable
    
  
  
    

How to implement a nutrition fetcher in your Recipe app with Lovable




  
    
    Recipe Nutrition Fetcher
    
  
  
    

Recipe App with Lovable - Nutrition Details

Recipe: Classic Pancakes

How to Upload Recipe Images with Lovable




  
    
    Recipe Image Uploader
    
  
  
    

Upload Recipe Image

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Want to explore opportunities to work with us?

Connect with our team to unlock the full potential of no-code solutions with a no-commitment consultation!

Book a Free Consultation
Matt Graham, CEO of Rapid Developers

Book a call with an Expert

Starting a new venture? Need to upgrade your web app? RapidDev builds application with your growth in mind.

Book a free No-Code consultation

Best Practices for Building a Recipe app with AI Code Generators

 

Planning Your Recipe App

 

  • Begin by understanding the purpose of your recipe app. Ask yourself what features you need, such as searching for recipes, adding and editing entries, displaying nutritional information, and categorizing recipes.
  • Write down a list of features and functionalities to serve as your blueprint. Even if you are not technical, sketching out ideas on paper helps in planning.
  • Consider how you will integrate AI capabilities, for example using AI code generators to create sections of code for features such as ingredient list parsing or converting user input into structured data.

 

Defining Features and Requirements

 

  • Decide on the core features:
    • Search recipes by ingredients or dish names.
    • Add new recipes with step-by-step instructions.
    • User accounts for saving favorite recipes.
    • AI-based suggestions for recipes based on user preferences.
  • Create a simple document listing all functionalities. This document will guide the development process and help the AI code generator understand your needs.

 

Designing the User Interface

 

  • Sketch the layout of each page. Consider:
    • A clean homepage with a search bar and featured recipes.
    • A recipe details page that shows ingredients, instructions, and images.
    • A user profile page for managing personal recipes and preferences.
  • Decide on a color scheme and readable typography to enhance user experience.
  • Remember, the design should be simple and intuitive for non-technical users.

 

Setting Up Your Development Environment

 

  • Choose a development platform such as Visual Studio Code or an online IDE if you are new to coding.
  • If you plan to use a web framework (e.g., Flask for Python), install the necessary tools. For example:
    
    # Command to install Flask
    pip install Flask
        
  • Set up version control using tools like Git; it is useful for tracking changes and collaborating with others.

 

Utilizing AI Code Generators

 

  • Select an AI code generator tool, such as GitHub Copilot or an online AI assistant. These tools can help generate boilerplate code and offer suggestions.
  • Prepare clear prompts to instruct the AI. For instance, you might write:
    
    "Generate a Python function that searches recipes by ingredient from a given list of recipes."
        
  • Review the generated code carefully to ensure it matches your app’s requirements and adjust it if necessary.

 

Integrating AI Generated Code with Your App

 

  • After obtaining code snippets from the AI, integrate them into your project structure.
    • Create separate files for different functionalities. For example, one file for database operations, another for user interface components.
  • Test the AI generated code snippets individually by running them in isolation to verify that they work as intended.
  • Here is an example of a simple route in a Flask app generated by an AI:
    
    from flask import Flask, request, jsonify
    
    

    app = Flask(name)

    @app.route('/search', methods=['GET'])
    def search_recipe():
    ingredient = request.args.get('ingredient')
    # Placeholder for search logic
    recipes = [{"name": "Tomato Pasta", "ingredients": ["tomato", "pasta", "basil"]}]
    filtered = [recipe for recipe in recipes if ingredient in recipe["ingredients"]]
    return jsonify(filtered)

    if name == 'main':
    app.run(host="0.0.0.0", port=8080)


 

Testing and Debugging the Application

 

  • Test your recipe app in small sections. Start with one feature at a time, such as the recipe search function.
  • Use test inputs to confirm that the code performs as expected. If errors occur, use error messages to identify issues.
  • Consider using debugging tools or print statements to trace data flow and process logic.

 

Securing Your Recipe App

 

Client trust and success are our top priorities

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May 2, 2023

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Oct 15, 2022

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May 1, 2024 

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