革新对话：使用PHP将WhatsApp Chatbot与Meta和ChatGPT Turbo集成

介绍：在快速发展的对话型人工智能世界中，我们踏上了一段旅程，通过一个完全集成的 WhatsApp 聊天机器人来增强用户互动。这个项目利用 PHP 实现了与 Meta（前身为 Facebook）和强大的 ChatGPT Turbo 聊天机器人的无缝集成，用于自然语言处理。

使用的技术：我们的技术栈包括用于服务器端脚本的PHP，用于WhatsApp集成的Meta API以及用于高级语言理解的ChatGPT Turbo。

关键成就：成功整合Meta API for WhatsApp以实现与用户的互动和动态对话。无缝集成ChatGPT Turbo以增强聊天机器人的自然语言处理能力。克服身份验证、消息处理等挑战，确保用户体验顺畅。功能和演示：丰富的多媒体支持：通过聊天机器人发送图片、视频和其他媒体。动态回应：聊天机器人根据用户输入和上下文自适应回应。多步对话：通过一系列消息处理复杂的互动。用户体验和反馈：用户报告了显著改善的体验，称赞聊天机器人在理解和上下文响应方面的能力。真实场景展示了集成解决方案的有效性。

测试和性能:为确保聊天机器人的可靠性和性能，进行了严格的测试。性能指标显示优化的响应时间和高效的资源利用。

未来发展：整合额外功能，如个性化用户交互和第三方API集成。持续优化聊天机器人的语言理解和响应生成。

完整代码

配置Webhook

// Set your verify token
$verifyToken = "YOUR_KEY"; // Replace with your actual verify token

// Get the hub challenge, mode, and verify token from the request
$hubChallenge = isset($_GET['hub_challenge']) ? $_GET['hub_challenge'] : null;
$hubMode = isset($_GET['hub_mode']) ? $_GET['hub_mode'] : null;
$hubVerifyToken = isset($_GET['hub_verify_token']) ? $_GET['hub_verify_token'] : null;

// Check if the hub mode is 'subscribe' and the verify token matches
if ($hubMode === 'subscribe' && $hubVerifyToken === $verifyToken) {
    // Respond with the hub challenge to complete the verification
    echo $hubChallenge;
} else {
    // Respond with an error or log the issue
    echo "Verification failed.";
}

// Exit the script after verification
exit();

完整PHP代码

<?php

ini_set('display_errors', 1);
error_reporting(E_ALL);

// Specify the path to the log file
$logFilePath = 'PATH/TO/LOG/FILE';

// Set the default timezone
date_default_timezone_set('Africa/Nairobi');

// Decode incoming JSON data from WhatsApp webhook
$data = json_decode(file_get_contents('php://input'), true);

// Check if the data is from a WhatsApp Business Account and contains messages
if ($data['object'] == 'whatsapp_business_account' && isset($data['entry'][0]['changes'][0]['value']['messages'])) {

    // Decode JSON data again for better readability
    $data_json = file_get_contents('php://input');
    $data_array = json_decode($data_json, true);

    // Extract relevant information from the incoming data
    $entry = $data_array['entry'];
    $message_id = $entry[0]['id'];
   
    $from = $entry[0]['changes'][0]['value']['messages'][0]['from'];
    $to = $entry[0]['changes'][0]['value']['metadata']['display_phone_number'];

    $senderName = $entry[0]['changes'][0]['value']['contacts'][0]['profile']['name'];
    
    $type = $entry[0]['changes'][0]['value']['messages'][0]['type'];
    
    // Determine the message type and extract the text
    if ($type == 'text') {
        $text = $entry[0]['changes'][0]['value']['messages'][0]['text']['body'];
    } else if ($type == 'interactive') {
        $interactive = $entry[0]['changes'][0]['value']['messages'][0]['interactive'];
        $interactive_type = $entry[0]['changes'][0]['value']['messages'][0]['interactive']['type'];
        
        if ($interactive_type == 'button_reply') {
            $button_reply = $interactive['button_reply'];
            $text = $button_reply['title'];
        } else {
            $list_reply = $interactive['list_reply'];
            $text = $list_reply['title'];
        }
    } else {
        // Default message if type is neither 'text' nor 'interactive'
        $text = "Hello";
    }

    // Check if products have already been fetched for this user
    getChatGPTResponse($text, $from);
}

function getChatGPTResponse($inputText, $from) {
    // Log the user's input
    logMessage("GPT |: ", $inputText, $from);

    // Load the conversation context from a file (you may replace this with a database or cache)
    $conversationContext = loadConversationContext($from);

    // Add the user's message to the conversation context
    $conversationContext[] = ['role' => 'user', 'content' => $inputText];

    // Set parameters for ChatGPT API request
    $data = [
        'messages' => $conversationContext,
        'model' => 'CHAT_GPT_MODEL',
        'temperature' => 'TEMPERATURE',
        'max_tokens' => 'MAX_TOKENS'
    ];

    // Set headers for the ChatGPT API request
    $headers = [
        'Content-Type: application/json',
        'Authorization: Bearer ' . 'CHAT_GPT_API_KEY'
    ];

    // Use cURL to make a request to ChatGPT API
    $ch = curl_init("https://api.openai.com/v1/chat/completions");
    curl_setopt($ch, CURLOPT_CUSTOMREQUEST, 'POST');
    curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($data));
    curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
    curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);

    // Execute the cURL session and fetch result
    $response = curl_exec($ch);

    // Close the cURL session
    curl_close($ch);

    // Decode the API response
    $responseArr = json_decode($response, true);

    // Extract the model's reply
    $reply = $responseArr['choices'][0]['message']['content'];

    // Add the model's reply to the conversation context
    $conversationContext[] = ['role' => 'system', 'content' => $reply];

    // Save the updated conversation context to the file
    saveConversationContext($from, $conversationContext);

    // Send the WhatsApp message with the model's reply
    sendWhatsAppMessage($from, $reply);

    // Log the model's reply
    logMessage("OUT |: ", $reply, $from);
}

// Load the conversation context from the specified directory for the given user
function loadConversationContext($userId) {
    $filePath = "PATH/TO/conversations/$userId.json";
    if (file_exists($filePath)) {
        $contextJson = file_get_contents($filePath);
        return json_decode($contextJson, true);
    }
    return [];
}

// Save the conversation context to the specified directory for the given user
function saveConversationContext($userId, $context) {
    $filePath = "PATH?TO/conversations/$userId.json";
    if (!file_exists(dirname($filePath))) {
        mkdir(dirname($filePath), 0755, true);
    }
    file_put_contents($filePath, json_encode($context));
}

// Send a WhatsApp message
function sendWhatsAppMessage($recipientNumber, $message) {
    $accessToken = 'META_ACCESS_TOKEN';
    $url = 'https://graph.facebook.com/VERION_NUMBER/PHONE_NUMBER_ID/messages';

    $_message = " *Ubuni AI*\n\n" . $message;

    $data = [
        'messaging_product' => 'whatsapp',
        'to' => 'whatsapp:' . $recipientNumber,
        'type' => 'text',
        'text' => [
            'body' => $_message,
        ],
    ];

    $headers = [
        'Content-Type: application/json',
        'Authorization: Bearer ' . $accessToken,
    ];

    $ch = curl_init($url);

    curl_setopt($ch, CURLOPT_POST, 1);
    curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($data));
    curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);
    curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);

    $response = curl_exec($ch);

    curl_close($ch);

    $responseData = json_decode($response, true);

    // Print the message status
    if (isset($responseData['messages'][0]['message_status'])) {
        $messageStatus = $responseData['messages'][0]['message_status'];
        echo 'Message Status: ' . $messageStatus;
    } else {
        echo 'Unable to retrieve message status.';
    }
}

// Log a message with timestamp
function logMessage($type, $message, $phone_number) {
    global $logFilePath;
    $logMessage = date('Y-m-d H:i:s') . ' | ' . $type . ' | ' . $phone_number . ' | ' . $message . PHP_EOL;
    file_put_contents($logFilePath, $logMessage, FILE_APPEND);
}

?>