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How to use ChatGPT PHP to develop online educational chat assistant

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Oct 27, 2023 pm 07:19 PM

php developmentonline educationchat assistant

如何利用ChatGPT PHP开发在线教育聊天助手

How to use ChatGPT PHP to develop an online education chat assistant

In today's digital era, online education has become an increasingly popular way of learning. In order to provide a better online learning experience, chat assistant technology has gradually attracted attention. ChatGPT, as a chat assistant model based on artificial intelligence, can provide users with intelligent online learning and answering questions. This article will introduce how to use ChatGPT PHP to develop a chat assistant based on online education and provide specific code examples.

Install ChatGPT PHP library

To use ChatGPT, we first need to install the ChatGPT PHP library. You can use Composer to manage project dependencies. Create a composer.json file in the project root directory and add the following content:

{
    "require": {
        "openai/openai": "^1.0"
    }
}

Then install the ChatGPT PHP library by running the following command:

$ composer install

Get ChatGPT API Key

To use ChatGPT, we need to obtain the ChatGPT API key. First, you need to create an account on the OpenAI website. Then, find your API key in the dashboard and record it.

Writing PHP code

Create a chat.php file in the root directory of the project and add the following content:

<?php

require 'vendor/autoload.php';

use OpenAIOpenAI;

function getChatResponse($message) {
    $openai = new OpenAI('YOUR_API_KEY'); // 替换为您的实际API密钥

    $model = 'gpt-3.5-turbo'; // 使用ChatGPT的模型

    // 发送请求给ChatGPT
    $response = $openai->completions->create([
        'model' => $model,
        'messages' => [['role' => 'system', 'content' => 'You are an expert online tutor.']],
        'messages' => [['role' => 'user', 'content' => $message]],
        'temperature' => 0.7, // 控制响应的创造性和保守性
        'max_tokens' => 100, // 控制响应的长度
    ]);

    // 返回ChatGPT的回复
    return $response['choices'][0]['message']['content'];
}

// 处理用户输入并获取ChatGPT的回复
if ($_SERVER['REQUEST_METHOD'] === 'POST') {
    $message = $_POST['message'];
    $response = getChatResponse($message);
    echo $response;
}

?>

Please note that you 'YOUR_API_KEY' in the code needs to be replaced with the actual API key you obtained in step 2.

Create HTML interface

Create an index.html file in the root directory of the project and add the following content:

<!DOCTYPE html>
<html>
<head>
    <title>Online Education Chatbot</title>
    <script src="https://code.jquery.com/jquery-3.6.0.min.js"></script>
</head>
<body>
    <h1 id="Online-Education-Chatbot">Online Education Chatbot</h1>
    <div id="chatbox">
        <div id="conversation"></div>
        <input type="text" id="message" placeholder="Type your message...">
        <button id="send">Send</button>
    </div>

    <script>
        $(document).ready(function() {
            $('#send').click(function() {
                var message = $('#message').val();

                // 发送用户的消息给chat.php处理
                $.post('chat.php', {message: message}, function(response) {
                    $('#conversation').append('<p>User: ' + message + '</p>');
                    $('#conversation').append('<p>Chatbot: ' + response + '</p>');
                    $('#message').val('');
                });
            });
        });
    </script>
</body>
</html>

Run Chat Assistant

Enter the root directory of the project in the command line and run the following command to start the PHP built-in server:

$ php -S localhost:8000

Then visit http://localhost:8000 in the browser , you can use the online education chat assistant for real-time interaction.

Through the above steps, we successfully built an online education chat assistant based on ChatGPT. Users can enter questions in the chat box, and ChatGPT will return intelligent answers. This approach can provide personalized learning assistance and make online education more interactive and flexible.

Please note that ChatGPT is a model trained based on a large amount of training data, but it may be inaccurate or incomprehensible. Therefore, in practical applications, we should have alternatives to handle questions that ChatGPT cannot answer, and continue to improve and optimize the performance of the chat assistant.

I hope this article will help you understand how to use ChatGPT PHP to develop an online education chat assistant. I wish your online learning experience will be more enjoyable and efficient!

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