How to use ChatGPT PHP to implement an intelligent social entertainment chat application-PHP Tutorial-php.cn

How to use ChatGPT PHP to implement an intelligent social entertainment chat application

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Release： 2023-10-26 12:30:01

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如何使用ChatGPT PHP实现智能社交娱乐聊天应用

How to use ChatGPT PHP to implement intelligent social entertainment chat applications

Introduction:
With the development of artificial intelligence, chat robots play an important role in the field of social entertainment character of. ChatGPT is a powerful dialogue model launched by OpenAI, which can generate natural and smooth replies by learning a large amount of dialogue data. This article will introduce how to use ChatGPT PHP to implement an intelligent social entertainment chat application, and provide corresponding code examples to help readers get started quickly.

Preparation
Before we start, we need the following preparations:
Install PHP, the version must be greater than 7.2;
On the OpenAI official website Apply for an API key online to obtain permission to access the ChatGPT API;
Confirm that Composer is installed, used to manage PHP dependency packages;
A text editor, used to write PHP code.
Install dependency packages
Enter the project directory and execute the following command to install the relevant dependency packages:
```
composer require openai/openai-api
```
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Write code
In the project directory Create a file named index.php and enter the following code:

<?php
require 'vendor/autoload.php'; // 导入依赖包

use OpenAIopenai;

$openai = new OpenAI([
 'apiKey' => 'your-api-key' // 替换为你的 API 密钥
]);

if ($_SERVER["REQUEST_METHOD"] == "POST") {
 $message = $_POST['message']; // 获取用户输入的消息
 $chat_log = $_POST['chat_log']; // 获取历史聊天记录
 
 // 调用 ChatGPT API，并传入用户输入和历史聊天记录
 $response = $openai->chat([
     'model' => 'gpt-3.5-turbo',
     'messages' => [['role' => 'system', 'content' => 'You are a helpful assistant.'], ['role' => 'user', 'content' => $message]],
     'chatLog' => $chat_log,
 ]);
 
 $result = $response['choices'][0]['message']['content']; // 获取 ChatGPT 的回复
 echo $result;
}
?>

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Build the front-end interface
In the index.php file, add a simple HTML form to display the chat interface ：

<!DOCTYPE html>
<html>
<head>
 <title>Chat Application</title>
</head>
<body>
 <h1>Chat Application</h1>
 <div id="chatbox">
     <div id="chatlog"></div>
     <input type="text" id="message" placeholder="Type your message here">
     <button onclick="sendMessage()">Send</button>
 </div>

 <script>
     var chatLog = [];

     function sendMessage() {
         var message = document.getElementById('message').value;
         var chatLogElement = document.getElementById('chatlog');

         // 用户发送的消息显示在聊天窗口
         chatLogElement.innerHTML += '<p>User: ' + message + '</p>';

         // 发送用户输入的消息和历史聊天记录到后端
         var xhr = new XMLHttpRequest();
         xhr.open('POST', 'index.php', true);
         xhr.setRequestHeader('Content-Type', 'application/x-www-form-urlencoded');
         xhr.onload = function() {
             if (xhr.status === 200) {
                 // 接收并显示 ChatGPT 的回复
                 chatLogElement.innerHTML += '<p>ChatGPT: ' + xhr.responseText + '</p>';
                 chatLog.push(message); // 保存消息到聊天记录数组
                 chatLog.push(xhr.responseText);
             }
         };
         xhr.send('message=' + encodeURIComponent(message) + '&chat_log=' + encodeURIComponent(JSON.stringify(chatLog))); // 发送消息和聊天记录
     }
 </script>
</body>
</html>

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Run the application
Use the command line to enter the project directory and execute the following command to start the PHP built-in development server:
```
php -S localhost:8000
```
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Access in the browser http://localhost:8000 to start using the chat application.

Conclusion:
This article details how to use ChatGPT PHP to implement an intelligent social entertainment chat application. By following the above steps, you can use ChatGPT to provide a natural and smooth chat experience and provide users with personalized and intelligent services. Remember to replace the API keys according to your needs, and improve and optimize the code as needed to suit your use case.

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