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ChatGPT PHP development practice: creating intelligent chat functions based on industry knowledge

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2023-10-27 09:50:12629browse

ChatGPT PHP开发实践:打造基于行业知识的智能聊天功能

ChatGPT PHP development practice: creating intelligent chat functions based on industry knowledge

Introduction:
With the continuous development of artificial intelligence technology, chat robots have gradually become An important tool for many businesses. In PHP development, we can use the ChatGPT model to build an intelligent chat function. This article will introduce how to use the ChatGPT model, combined with industry knowledge, to develop an intelligent chat function through PHP, and provide code samples for reference.

  1. Preparing the environment
    First, we need to install the PHP environment and related dependencies. PHP can be installed by running the following command in the terminal:
sudo apt-get install php

At the same time, we also need to install Composer to manage our dependency packages. You can install it through the following command:

sudo apt-get install composer
  1. Install dependency packages
    In the project directory, create a file named composer.json and add the following content:
{
  "require": {
    "guzzlehttp/guzzle": "^7.0",
    "openai/openai": "^0.4.0"
  }
}

Then execute the following command in the terminal to install the required dependency packages:

composer install
  1. Configure OpenAI API credentials
    We need to register an account on the OpenAI official website and obtain API credentials. After you have the credentials, create a file called .env and add the following content:
OPENAI_API_KEY=YOUR_API_KEY

Replace YOUR_API_KEY with your actual API credentials.

  1. Write PHP code
    Create a file named chat.php in the project directory and add the following code:
<?php

require 'vendor/autoload.php';

use OpenAIOpenAI;

$openai = new OpenAI(getenv('OPENAI_API_KEY'));

function generateResponse($prompt, $tokens = [], $maxTokens = 100){
    global $openai;

    $response = $openai->completions([
        'model' => 'gpt-3.5-turbo',
        'prompt' => $prompt,
        'tokens' => $tokens,
        'max_tokens' => $maxTokens,
        'temperature' => 0.7,
        'top_p' => 1,
        'n' => 1,
        'stream' => false,
        'stop' => ['
'],
    ]);

    return $response['choices'][0]['text'];
}

// 处理用户输入
function processUserInput($input){
    // 在这里添加处理用户输入的逻辑
    // 可以结合行业知识进行相关处理

    return $input;
}

// 主逻辑
function chat($prompt){
    $tokens = [];
    $response = '';

    while(true){
        $input = readline("> ");
        $input = processUserInput($input);
        $prompt .= $input . "

";
        $tokens = array_merge($tokens, explode(' ', $input));
        
        $response = generateResponse($prompt, $tokens);

        echo $response . "

";
    }
}

// 启动聊天
chat("你好,我是智能聊天机器人。请问有什么我可以帮助你的吗?");

?>
  1. Test the chat function
    Run the following command in the terminal to test the chat functionality:
php chat.php

You will see a command line interface with a prompt. You can enter your question or conversation content after the prompt, and press Enter after each answer to continue interacting with the chatbot.

Conclusion:
By using the ChatGPT model and combined with PHP development, we can quickly build an intelligent chat function based on industry knowledge. In the actual development process, the code can be expanded and optimized according to specific needs. I hope the code examples provided in this article are helpful!

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