Complete Guide to Building an Intelligent Customer Feedback System with PHP and ChatGPT

Introduction

An intelligent customer feedback system is a vital tool for businesses to communicate with clients effectively. It helps collect and manage customer opinions and suggestions, improving service quality and customer satisfaction. ChatGPT, as an advanced natural language processing model, offers powerful semantic understanding and text generation capabilities, making it ideal for building smart dialogue systems. This article demonstrates how to create an intelligent customer feedback system using PHP and ChatGPT with practical code examples.

Installing the ChatGPT PHP Library

Before building the system, you need to install the ChatGPT PHP library. Use the following command:

<span class="fun">composer require openai/api</span>

Obtaining an OpenAI API Key

To use ChatGPT with PHP, you need an OpenAI API key. Follow these steps:

• Visit the OpenAI website and register an account.
• Log in and access the management console.
• Create a new OpenAI project and obtain the API key.

Implementing Smart Dialogue Functionality

Here is a sample PHP code to implement dialogue with the ChatGPT model:

<?php
require 'vendor/autoload.php';

use OpenAIApiChatCompletionRequest;
use OpenAIOpenAI;

$openai = new OpenAI('YOUR_API_KEY');

$conversation = [
    [
        'role' => 'system',
        'content' => 'You are a helpful assistant.'
    ],
    [
        'role' => 'user',
        'content' => 'What is your return policy?'
    ]
];

$request = new ChatCompletionRequest();
$request->setMessages($conversation);
$request->setModel('gpt-3.5-turbo');
$request->setMaxTokens(100);
$request->setTemperature(0.6);

$response = $openai->chatCompletion($request);

$message = end($response->getChoices())->getMessage();

echo 'Assistant: ' . $message->getContent() . "\n";
?>

Handling Customer Feedback

Using the above code, you can interact with the ChatGPT model. In an intelligent customer feedback system, customer questions and feedback can be sent as part of the conversation for processing by the model.

For example, if a customer asks "How can I return a product?", you can send this as part of the conversation and display the model's response:

<?php
$conversation = [
    // previous conversation
    [
        'role' => 'user',
        'content' => 'How can I return a product?'
    ]
];
?>

When handling the model's response, extract the assistant's message and display it to the customer:

<?php
$message = end($response->getChoices())->getMessage();
echo 'Assistant: ' . $message->getContent() . "\n";
?>

Conclusion

This article demonstrated how to build an intelligent customer feedback system using PHP and ChatGPT, with complete code examples. By leveraging this approach, businesses can implement automated customer service, respond to inquiries quickly, and enhance overall customer satisfaction and service efficiency. This guide aims to provide practical reference for developers building smart feedback systems.