ChatGPT PHP development practice: create personalized intelligent chat function

ChatGPT PHP development practice: creating personalized intelligent chat function

As a modern artificial intelligence technology, language model plays a crucial role in the field of natural language processing important role. ChatGPT is an excellent language model released by OpenAI. It can achieve natural and smooth conversations and provide developers with an easy-to-use API interface. This article will introduce how to use PHP language to develop a personalized intelligent chat function and provide specific code examples.

The following is a basic PHP code example that shows how to use the ChatGPT API to conduct a conversation:

 'gpt-3.5-turbo',
    'messages' => [
        ['role' => 'system', 'content' => 'You are a helpful assistant.'],
        ['role' => 'user', 'content' => 'Who won the world series in 2020?'],
        ['role' => 'assistant', 'content' => 'The Los Angeles Dodgers won the World Series in 2020.'],
        ['role' => 'user', 'content' => 'Where was it played?'],
        ['role' => 'assistant', 'content' => 'The games were played in Arlington, Texas.'],
        ['role' => 'user', 'content' => 'Who was the MVP?'],
        ['role' => 'assistant', 'content' => 'Corey Seager won the World Series MVP award.'],
    ]
];

// 转换数据为JSON字符串
$jsonData = json_encode($data);

// 创建POST请求
$ch = curl_init();
curl_setopt($ch, CURLOPT_URL, $apiUrl);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, 1);
curl_setopt($ch, CURLOPT_POST, 1);
curl_setopt($ch, CURLOPT_POSTFIELDS, $jsonData);
curl_setopt($ch, CURLOPT_HTTPHEADER, [
    'Authorization: Bearer ' . $apiKey,
    'Content-Type: application/json',
]);

// 发送请求并获取响应
$response = curl_exec($ch);
curl_close($ch);

// 解析API返回的JSON响应
$data = json_decode($response, true);
$reply = $data['choices'][0]['message']['content'];

// 输出回复
echo $reply;
?>

In the above example, first we need to prepare the API address of ChatGPT and our API password key. We then set up the request data, including the specified model name (gpt-3.5-turbo is used here) and a list of messages, each of which contains roles and content. Finally, we convert the data into JSON format and send it to the ChatGPT API via a POST request. Finally, we parse the JSON response returned by the API, extract the reply message and output it.

Through the above code examples, we can integrate ChatGPT into our PHP project to realize the function of intelligent chat. You can customize the input message content and display logic according to your own needs to better meet the needs of users.

To summarize, this article introduces how to use PHP language to develop personalized intelligent chat functions and provides specific code examples. By combining the powerful capabilities of ChatGPT, we can provide users with a more humane and intelligent conversation experience. Of course, in actual applications, functions need to be expanded and optimized according to specific needs. I hope this article can help you understand how to develop personalized intelligent chat functions.

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