首页 » PHP教程 » gpt开源php技巧_开源推荐给大年夜家推荐个基于ChatGPT的PHP开拓库 openaiphpapi

gpt开源php技巧_开源推荐给大年夜家推荐个基于ChatGPT的PHP开拓库 openaiphpapi

duote123 2024-11-22 0

扫一扫用手机浏览

文章目录 [+]

composer 1.6.5以上

支持框架 Laravel、Symfony、Yii2、Cake PHP 或任何 PHP 框架,完备开源,支持OpenAI GPT-3 API接口。

gpt开源php技巧_开源推荐给大年夜家推荐个基于ChatGPT的PHP开拓库 openaiphpapi

支持功能

谈天 - 谈天GPT API

gpt开源php技巧_开源推荐给大年夜家推荐个基于ChatGPT的PHP开拓库 openaiphpapi
(图片来自网络侵删)

模型 - 列出模型,检索模型

创建 - 创建完成

编辑 - 创建编辑

图片 - 创建图像,编辑图像

嵌入 - 创建嵌入

声音 - 创建转录,创建翻译

文件 - 列出文件,上传文件,删除文件,检索文件,检索内容

安装利用

composer require orhanerday/open-ai

<?phpuse Orhanerday\OpenAi\OpenAi;$open_ai_key = ""; #openAI的key$open_ai = new OpenAi($open_ai_key); //类的实例化$chat = $open_ai->chat(['model' => 'gpt-3.5-turbo', //定义模型'messages' => [["role" => "system", //角色系统"content" => "You are a helpful assistant."],["role" => "user","content" => "Who won the world series in 2020?"],["role" => "assistant", //角色助理"content" => "The Los Angeles Dodgers won the World Series in 2020."],["role" => "user","content" => "Where was it played?"],],'temperature' => 1.0,'max_tokens' => 4000, //最大token'frequency_penalty' => 0,'presence_penalty' => 0,]);var_dump($chat);echo "<br>";echo "<br>";echo "<br>";// 解码相应$d = json_decode($chat);// 获取内容echo($d->choices[0]->message->content);基本网址

利用 setBaseURL() 方法指定Origin URL;

$open_ai_key = getenv('OPENAI_API_KEY');$open_ai = new OpenAi($open_ai_key,$originURL);$open_ai->setBaseURL("https://ai.example.com/");利用代理做事器

$open_ai->setProxy("http://127.0.0.1:1086");设置标题

$open_ai->setHeader(["Connection"=>"keep-alive"]);基于ChatGPT API 的谈天

$complete = $open_ai->chat(['model' => '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?"],],'temperature' => 1.0,'max_tokens' => 4000,'frequency_penalty' => 0,'presence_penalty' => 0,]);访问元素

<?php// Dummy Response For Chat API$j = '{"id":"chatcmpl-","object":"chat.completion","created":1679748856,"model":"gpt-3.5-turbo-0301","usage":{"prompt_tokens":9,"completion_tokens":10,"total_tokens":19},"choices":[{"message":{"role":"assistant","content":"This is a test of the AI language model."},"finish_reason":"length","index":0}]}';// decode response$d = json_decode($j);// Get Contentecho($d->choices[0]->message->content);

还有别的的用法,大家可以根据文档好好研究,我这里就不一一列举了。

标签:

相关文章

Java代码虚拟化保护技术与应用前景

软件应用的需求日益增长,软件开发过程中对代码的保护成为了一个重要议题。Java作为一种广泛应用于企业级应用的编程语言,其代码虚拟化...

PHP教程 2025-03-02 阅读1 评论0

CAD插件错误代码与应对步骤

CAD(计算机辅助设计)软件在工程设计领域得到了广泛应用。CAD插件作为提升设计效率的重要工具,在提高设计师工作效率的也带来了一定...

PHP教程 2025-03-02 阅读1 评论0

上古卷轴代码规则大全游戏背后的编程奥秘

《上古卷轴》作为一款深受玩家喜爱的角色扮演游戏,自问世以来便以其丰富的世界观、独特的游戏体验和深厚的文化底蕴吸引了无数玩家。在这款...

PHP教程 2025-03-02 阅读1 评论0