How to use ChatGPT PHP to develop intelligent booking assistant
Introduction:
With the rapid development of artificial intelligence technology, ChatGPT has become a high-profile natural language Process model. It has the ability to quickly respond to user needs and is very suitable for developing intelligent booking assistants. This article will teach you step by step how to use ChatGPT PHP to develop an efficient intelligent booking assistant.
1. Environment setup:
First, you need to install PHP and related development environments. You can download the latest PHP version from the PHP official website and install it according to the instructions.
Next, you need to obtain the API key of the ChatGPT model from the OpenAI official website. Through the API provided by OpenAI, we can connect to the ChatGPT model and gain the ability to intelligently reply.
2. Code implementation:
The following is a simple PHP code example that demonstrates how to use ChatGPT to develop an intelligent booking assistant:
'system', 'content' => '你好'], ['role' => 'user', 'content' => '我想预订酒店'], ['role' => 'assistant', 'content' => '好的,请告诉我您的入住日期和离开日期'], ['role' => 'user', 'content' => '我想从明天入住到下周三'], ['role' => 'assistant', 'content' => '好的,请稍等,我来帮您查询'], ]; // 请求ChatGPT模型的API $response = http_post("https://api.openai.com/v1/chat/completions", json_encode([ 'messages' => $messages, 'max_tokens' => 50, ])); // 解析API返回的回复 $reply = json_decode($response, true)['choices'][0]['message']['content']; // 输出回复消息 echo $reply; // 发送HTTP POST请求 function http_post($url, $data) { $ch = curl_init($url); curl_setopt($ch, CURLOPT_CUSTOMREQUEST, "POST"); curl_setopt($ch, CURLOPT_POSTFIELDS, $data); curl_setopt($ch, CURLOPT_RETURNTRANSFER, true); curl_setopt($ch, CURLOPT_HTTPHEADER, [ 'Authorization: Bearer ' . $api_key, 'Content-Type: application/json', ]); $result = curl_exec($ch); curl_close($ch); return $result; } ?>
3. Code analysis:
4. Summary:
Through the above sample code, you can learn how to use the ChatGPT model and PHP to develop an intelligent booking assistant. Of course, this is just a simple example, you can extend the functionality and optimize the code according to your needs. I wish you good results in developing your smart booking assistant!
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