ChatGPT PHP development practice: creating a personalized recommendation chatbot-PHP Tutorial-php.cn

ChatGPT PHP development practice: creating a personalized recommendation chatbot

王林

Release： 2023-10-25 08:14:01

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ChatGPT PHP开发实践：打造个性化推荐聊天机器人

ChatGPT PHP Development Practice: Creating a Personalized Recommendation Chatbot

Foreword:
With the continuous development of artificial intelligence, chatbots have attracted more and more attention and application. As a chat robot technology based on the Transformer model, ChatGPT has excellent dialogue generation capabilities and can be used in a variety of application scenarios, such as customer service, recommendation systems, etc. This article will introduce how to use PHP to develop a personalized recommendation chatbot based on ChatGPT, and give specific code examples.

Step One: Environment Preparation
Before starting, we need to prepare the following environment:

PHP environment: Make sure that PHP has been installed and the corresponding environment variables have been configured.
ChatGPT model: Choose a suitable ChatGPT model, you can choose an open source model, or you can use your own trained model. The model can be downloaded from Hugging Face’s model library.
ChatGPT API: Get the API key of ChatGPT for online interaction.

Step 2: Build the chatbot backend

Create a PHP file and name it index.php.
Introduce the necessary packages:

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

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Create the ChatGPT object and initialize it:

$chatGPT = new ChatCompletion();
$chatGPT->setChatModel('模型名称'); // 设置ChatGPT模型名称
$chatGPT->setApiKey('API密钥'); // 设置ChatGPT的API密钥

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Implement a user request processing Function:

function handleUserRequest($userMessage) {
    global $chatGPT;
    
    // 发送用户消息给ChatGPT模型
    $response = $chatGPT->sendMessage($userMessage);
    
    // 解析ChatGPT的响应
    $systemMessage = $response['choices'][0]['message']['content'];
    
    // 返回聊天机器人的响应
    return $systemMessage;
}

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Process the user's request and return the robot's response:

if (isset($_GET['message'])) {
    $userMessage = $_GET['message'];
    $response = handleUserRequest($userMessage);
    echo $response;
}

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Step 3: Front-end page development

Create an HTML file named index.html.
Add a text box and a button in the HTML file for users to enter messages and send messages:

<!DOCTYPE html>
<html>
<head>
    <title>ChatGPT PHP开发实践</title>
</head>
<body>
    <input type="text" id="user-message" placeholder="输入消息">
    <button onclick="sendMessage()">发送</button>
    <div id="chat-history"></div>
</body>
<script>
    function sendMessage() {
        var userMessage = document.getElementById('user-message').value;
        
        // 发送用户消息给PHP后端
        var xhr = new XMLHttpRequest();
        xhr.onreadystatechange = function() {
            if (xhr.readyState === XMLHttpRequest.DONE && xhr.status === 200) {
                // 显示聊天记录
                var chatHistory = document.getElementById('chat-history');
                chatHistory.innerHTML += '<p><strong>用户：</strong>' + userMessage + '</p>';
                chatHistory.innerHTML += '<p><strong>聊天机器人：</strong>' + xhr.responseText + '</p>';
                
                // 清空输入框
                document.getElementById('user-message').value = '';
            }
        };
        xhr.open('GET', 'index.php?message=' + userMessage, true);
        xhr.send();
    }
</script>
</html>

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Step 4: Test and run

Place the index.php and index.html files in the same folder.
Use a browser to open the index.html file.
Enter the message in the text box and click the Send button.
The chatbot will return a response and display it on the page.

Summary:
This article introduces how to use PHP to develop a personalized recommendation chatbot based on ChatGPT. By building the backend and implementing the front-end page, we can interact with the chatbot and get the robot's response. By processing user messages and calling the ChatGPT model, a personalized recommended chat experience can be achieved. I hope this article can help you quickly get started with the PHP development practice of ChatGPT.

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