Building an Interactive Product Recommendation System with ChatGPT PHP in a WordPress Plugin

Posted on 18th June 2023

In this article, we’ll show you how to build an interactive product recommendation system using ChatGPT PHP in a WordPress Plugin. We’ll cover the following topics:

What is ChatGPT PHP?

ChatGPT PHP is a powerful chatbot development framework that enables you to easily create and deploy chatbots on your website or blog. ChatGPT PHP offers a wide range of features, including natural language processing, product recommendations, integration with third-party services, and more.

Why use ChatGPT PHP for product recommendations?

ChatGPT PHP is the perfect tool for building product recommendation systems because of its powerful natural language processing capabilities. With ChatGPT PHP, you can create chatbots that can understand the user’s needs and provide them with personalized recommendations.

How to create a product recommendation system with ChatGPT PHP

Creating a product recommendation system with ChatGPT PHP is easy. First, you need to create a new chatbot using the ChatGPT PHP framework. Then, you need to integrate the chatbot with your WordPress website or blog. Finally, you need to configure the chatbot to provide recommendations to your users.

Creating a new chatbot with ChatGPT PHP

To create a new chatbot with ChatGPT PHP, you need to sign up for a free ChatGPT PHP account. Once you have signed up, you can create a new chatbot by following these steps:

Log in to your ChatGPT PHP account.
Click on the “Create a new chatbot” button.
Enter a name for your chatbot and select a language.
Select the “Product Recommendation” template.
Click on the “Create chatbot” button.

Once you have created your chatbot, you can start configuring it to provide recommendations to your users.

Integrating your chatbot with WordPress

To integrate your chatbot with WordPress, you need to install the ChatGPT PHP WordPress Plugin. The plugin is available for free from the WordPress Plugin Directory. Once you have installed the plugin, you can activate it by following these steps:

Log in to your WordPress website or blog.
Click on the “Plugins” menu item.
Click on the “Activate” link for the ChatGPT PHP WordPress Plugin.
Enter your ChatGPT PHP account details and click on the “Save Changes” button.

Once the plugin has been activated, your chatbot will be automatically integrated with your WordPress website or blog.

Configuring your chatbot to provide recommendations

To configure your chatbot to provide recommendations, you need to add the following code to your chatbot’s “config.php” file:

$config['recommendation'] = array( 'enabled' => true, 'api_key' => 'your-api-key', 'api_secret' => 'your-api-secret', 'api_url' => 'https://api.chatgpt.com/v1/recommendation' );

You will need to replace “your-api-key” and “your-api-secret” with your actual ChatGPT PHP API key and secret. You can find your API key and secret in your ChatGPT PHP account settings.

Testing your chatbot

Once you have configured your chatbot to provide recommendations, you can test it by sending a message to your chatbot. If your chatbot is working properly, it should return a list of recommended products.

Conclusion

In this article, we have shown you how to build an interactive product recommendation system using ChatGPT PHP in a WordPress Plugin. We have also covered how to integrate your chatbot with WordPress and how to configure your chatbot to provide recommendations.

The next step is to wire up the front-end interface with the back-end functionality. This is where the real fun begins!

We’ll start by creating a simple form that will allow users to input their product preferences. The form will then make an AJAX call to the back-end, which will return a list of recommended products.

The back-end will be implemented as a PHP script that uses the ChatGPT PHP library. The script will take the user’s preferences as input and return a list of recommended products as output.

The front-end interface will be implemented as a WordPress plugin. The plugin will provide a shortcode that can be used to insert the form into any post or page.

The plugin will also handle the AJAX call to the back-end and display the list of recommended products.

The plugin will be implemented using the following directory structure:

chatgpt-recommender/

├── assets/

│ ├── css/

│ │ └── main.css

│ └── js/

│ └── main.js

├── includes/

│ ├── class-chatgpt-recommender.php

│ └── class-chatgpt-recommender-admin.php

├── chatgpt-recommender.php

└── readme.txt

The main plugin file (chatgpt-recommender.php) will contain the plugin header and initialization code. The includes directory will contain the plugin’s PHP classes. The assets directory will contain the plugin’s CSS and JS files.

The plugin’s main PHP class (ChatGPT_Recommender) will be responsible for initializing the plugin and registering the shortcode.

The plugin’s admin PHP class (ChatGPT_Recommender_Admin) will be responsible for displaying the plugin’s settings page.

The plugin’s CSS and JS files (main.css and main.js) will be responsible for implementing the front-end interface.

The first step is to implement the back-end script (includes/class-chatgpt-recommender.php). The script will use the ChatGPT PHP library to make recommendations.

The script will take the following input parameters:

preferences (required): an array of product preferences

limit (optional): the maximum number of products to recommend

The script will return a JSON-encoded array of recommended products. Each product will be represented as an associative array with the following keys:

id: the product’s ID

name: the product’s name

url: the product’s URL

image_url: the product’s image URL

price: the product’s price

The script will use the following code to make recommendations:

$preferences = $_POST[‘preferences’];

$limit = isset($_POST[‘limit’]) ? $_POST[‘limit’] : 10;

$recommender = new ChatGPT_Recommender();

$recommendations = $recommender->recommend($preferences, $limit);

echo json_encode($recommendations);

die();

The next step is to implement the plugin’s main PHP class (ChatGPT_Recommender). The class will be responsible for initializing the plugin and registering the shortcode.

The class will use the following code to register the shortcode:

add_shortcode(‘chatgpt_recommender’, array($this, ‘shortcode’));

The class will use the following code to initialize the plugin:

register_activation_hook(__FILE__, array($this, ‘activate’));

register_deactivation_hook(__FILE__, array($this, ‘deactivate’));

add_action(‘init’, array($this, ‘init’));

add_action(‘wp_enqueue_scripts’, array($this, ‘enqueue_scripts’));

The next step is to implement the plugin’s admin PHP class (ChatGPT_Recommender_Admin). The class will be responsible for displaying the plugin’s settings page.

The settings page will allow the user to enter their ChatGPT API key and product preferences. The preferences will be stored as an array of product IDs.

The class will use the following code to display the settings page:

add_options_page(

‘ChatGPT Recommender Settings’,

‘ChatGPT Recommender’,

‘manage_options’,

‘chatgpt_recommender_settings’,

array($this, ‘display_settings_page’)

);

The class will use the following code to display the plugin’s settings page:

The next step is to implement the plugin’s CSS and JS files (assets/css/main.css and assets/js/main.js).

The CSS file will be responsible for styling the form and the list of recommended products.

The JS file will be responsible for making the AJAX call to the back-end and displaying the list of recommended products.

The JS file will use the following code to make the AJAX call:

$.ajax({

url: ”,

type: ‘POST’,

data: {

action: ‘chatgpt_recommender_recommend’,

preferences: preferences

success: function(data) {

// display the list of recommended products

}

});

Finally, we need to implement the back-end script (includes/class-chatgpt-recommender.php). The script will use the ChatGPT PHP library to make recommendations.