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ChatGPT PHP Development Strategy: Building an Intelligent Chat System from Scratch
Introduction:
With the development of AI technology and the widespread application of intelligent chat systems, intelligent chat systems It is becoming increasingly important in every field. PHP is a server-side scripting language widely used in Web development. It is easy to learn, flexible and efficient, so it is very suitable for developing chat systems. This article will take you from scratch to build a powerful intelligent chat system by using OpenAI's ChatGPT model and the PHP programming language.
Part One: Building the Basic Environment
Install Composer and Guzzle
Composer is a dependency management tool for PHP that can help us install and manage third-party libraries. Open the command line tool and use the following command to install Composer:
curl -sS https://getcomposer.org/installer | php sudo mv composer.phar /usr/local/bin/composer
Next, use Composer to install Guzzle, a PHP library for sending HTTP requests:
composer require guzzlehttp/guzzle
Part 2: Building a chat system
Write PHP code
Create a file named chatbot.php to handle the back-end logic of the chat system. In this file, you will need PHP code to interact with OpenAI’s ChatGPT model. The following is a simple sample code:
<?php require 'vendor/autoload.php'; use GuzzleHttpClient; $openai_api_key = 'YOUR_API_KEY'; $client = new Client(['base_uri' => 'https://api.openai.com']); $input_message = $_GET['message']; $response = $client->request('POST', '/v1/engines/davinci-codex/completions', [ 'headers' => [ 'Authorization' => 'Bearer ' . $openai_api_key, 'Content-Type' => 'application/json', ], 'json' => [ 'prompt' => $input_message, 'max_tokens' => 50, ], ]); $completion = json_decode($response->getBody(), true); $reply_message = $completion['choices'][0]['text']; echo json_encode(['message' => $reply_message]); ?>
In the above code, first we introduce the classes required to send HTTP requests using Guzzle. We then set up the OpenAI API key and the base URL for API requests. Next, we get the information from the user’s input and send a POST request to OpenAI’s ChatGPT model using Guzzle. Finally, we process the response information returned by the model and return it to the front-end interface in JSON format.
Part Three: Deployment and Testing
Summary:
Through the guidance of this article, you have learned how to use PHP and OpenAI's ChatGPT model to build a powerful intelligent chat system. You can extend and improve the system according to your needs and add more features to it. I hope this article will help you build an intelligent chat system!
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