PHP项目GPT与文本生成

wen PHP项目 2026-07-20 177

我来帮你了解PHP项目中GPT（生成式预训练Transformer）与文本生成的相关内容。

PHP项目GPT与文本生成

PHP中实现GPT文本生成的主要方式

使用OpenAI API（推荐）

<?php
class GPTTextGenerator {
    private $apiKey;
    private $apiUrl = 'https://api.openai.com/v1/chat/completions';
    public function __construct($apiKey) {
        $this->apiKey = $apiKey;
    }
    public function generate($prompt, $options = []) {
        $data = [
            'model' => $options['model'] ?? 'gpt-3.5-turbo',
            'messages' => [
                ['role' => 'system', 'content' => '你是一个有用的AI助手'],
                ['role' => 'user', 'content' => $prompt]
            ],
            'temperature' => $options['temperature'] ?? 0.7,
            'max_tokens' => $options['max_tokens'] ?? 1000
        ];
        $ch = curl_init($this->apiUrl);
        curl_setopt_array($ch, [
            CURLOPT_RETURNTRANSFER => true,
            CURLOPT_POST => true,
            CURLOPT_HTTPHEADER => [
                'Authorization: Bearer ' . $this->apiKey,
                'Content-Type: application/json'
            ],
            CURLOPT_POSTFIELDS => json_encode($data)
        ]);
        $response = curl_exec($ch);
        $httpCode = curl_getinfo($ch, CURLINFO_HTTP_CODE);
        curl_close($ch);
        if ($httpCode === 200) {
            $result = json_decode($response, true);
            return $result['choices'][0]['message']['content'];
        }
        return false;
    }
}
// 使用示例
$generator = new GPTTextGenerator('your-api-key-here');
$text = $generator->generate('写一首关于春天的诗');
echo $text;

使用Composer包管理

composer require openai-php/client

require 'vendor/autoload.php';
use OpenAI\Client;
$client = OpenAI::client('your-api-key');
$response = $client->chat()->create([
    'model' => 'gpt-3.5-turbo',
    'messages' => [
        ['role' => 'system', 'content' => '你是一个专业的写作助手'],
        ['role' => 'user', 'content' => '写一篇关于人工智能的短文']
    ]
]);
echo $response->choices[0]->message->content;

文本生成功能实现

<?php
class AdvancedTextGenerator {
    private $gpt;
    public function __construct($apiKey) {
        $this->gpt = new GPTTextGenerator($apiKey);
    }
    // 文章生成
    public function generateArticle($topic, $length = 'short') {
        $prompts = [
            'short' => "请写一篇关于{$topic}的简短介绍（200字以内）",
            'medium' => "请写一篇关于{$topic}的详细文章（500字左右）",
            'long' => "请写一篇关于{$topic}的深度分析文章（1000字以上）"
        ];
        return $this->gpt->generate($prompts[$length] ?? $prompts['short']);
    }
    // 内容总结
    public function summarize($text) {
        $prompt = "请总结以下文本的核心要点：\n\n" . $text;
        return $this->gpt->generate($prompt, ['temperature' => 0.3]);
    }
    // 创意写作
    public function creativeWrite($genre, $keywords) {
        $prompt = "请用{$genre}风格创作一段包含以下关键词的文字：\n";
        $prompt .= implode(', ', $keywords);
        return $this->gpt->generate($prompt, ['temperature' => 0.9]);
    }
    // 翻译功能
    public function translate($text, $targetLanguage = '中文') {
        $prompt = "请将以下文本翻译成{$targetLanguage}：\n\n" . $text;
        return $this->gpt->generate($prompt, ['temperature' => 0.3]);
    }
}

本地文本生成（不依赖API）

<?php
class LocalTextGenerator {
    private $markovChain = [];
    private $ngrams = [];
    public function train($texts) {
        foreach ($texts as $text) {
            $words = preg_split('/\s+/', $text);
            for ($i = 0; $i < count($words) - 1; $i++) {
                $word = $words[$i];
                $nextWord = $words[$i + 1];
                if (!isset($this->markovChain[$word])) {
                    $this->markovChain[$word] = [];
                }
                $this->markovChain[$word][] = $nextWord;
            }
        }
    }
    public function generate($seed, $length = 50) {
        $current = $seed;
        $result = [$current];
        for ($i = 0; $i < $length; $i++) {
            if (!isset($this->markovChain[$current])) {
                break;
            }
            $next = $this->markovChain[$current][array_rand($this->markovChain[$current])];
            $result[] = $next;
            $current = $next;
        }
        return implode(' ', $result);
    }
}

最佳实践建议

<?php
trait GPTUsageOptimization {
    // 缓存机制
    private $cache = [];
    public function getCachedOrGenerate($key, $prompt) {
        if (isset($this->cache[$key])) {
            return $this->cache[$key];
        }
        $result = $this->generate($prompt);
        $this->cache[$key] = $result;
        // 清理旧缓存
        if (count($this->cache) > 100) {
            array_shift($this->cache);
        }
        return $result;
    }
    // 重试机制
    public function generateWithRetry($prompt, $maxRetries = 3) {
        for ($i = 0; $i < $maxRetries; $i++) {
            try {
                $result = $this->generate($prompt);
                if ($result !== false) {
                    return $result;
                }
            } catch (Exception $e) {
                if ($i === $maxRetries - 1) {
                    throw $e;
                }
                sleep(pow(2, $i)); // 指数退避
            }
        }
        return false;
    }
    // 内容过滤
    public function sanitizeOutput($text) {
        // 移除敏感内容
        $blockedPatterns = [
            '/\b(暴力|色情|赌博)\b/u',
            // 添加更多过滤规则
        ];
        foreach ($blockedPatterns as $pattern) {
            $text = preg_replace($pattern, '[已过滤]', $text);
        }
        return strip_tags($text);
    }
}

完整示例：文章生成器

<?php
class ArticleGenerator {
    use GPTUsageOptimization;
    private $gpt;
    public function __construct($apiKey) {
        $this->gpt = new GPTTextGenerator($apiKey);
    }
    public function createBlogPost($topic, $tone = 'informative') {
        $prompt = $this->buildPrompt($topic, $tone);
        $content = $this->generateWithRetry($prompt);
        return [
            'title' => $this->extractTitle($content),
            'content' => $content,
            'generated_at' => date('Y-m-d H:i:s')
        ];
    }
    private function buildPrompt($topic, $tone) {
        $prompts = [
            'informative' => "请写一篇关于{$topic}的知识性文章",
            'persuasive' => "请写一篇关于{$topic}的说服性文章",
            'entertaining' => "请写一篇关于{$topic}的趣味性文章"
        ];
        return $prompts[$tone] ?? $prompts['informative'];
    }
    private function extractTitle($content) {
        preg_match('/^#\s+(.+)$/m', $content, $matches);
        return $matches[1] ?? '无标题文章';
    }
}