192 lines
9.8 KiB
PHP
192 lines
9.8 KiB
PHP
<?php
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namespace App\Helpers\FirstParty\AI;
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use Illuminate\Support\Facades\Http;
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class OpenAI
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{
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public static function getMemeKeywords(string $name, string $description)
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{
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$apiKey = config('services.openai.api_key'); // Make sure to set this in config/services.php
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$response = Http::withHeaders([
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'Content-Type' => 'application/json',
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'Authorization' => 'Bearer ' . $apiKey,
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])->post('https://api.openai.com/v1/responses', [
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'model' => 'gpt-4.1-nano',
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'input' => [
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[
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'role' => 'system',
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'content' => [
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[
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'type' => 'input_text',
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'text' => "You are a meme annotation assistant. Given a meme name and description, you must populate three keyword categories: action_keywords: List specific actions being performed in the meme (e.g., wearing, singing, dancing) emotion_keywords: List feelings and emotions conveyed by the meme (e.g., joy, excitement, sadness) misc_keywords: List core identifying elements - keep this concise and focused on essential references only (e.g., main subjects, key objects, proper nouns) Format your response with clear category labels. Be precise and avoid over-elaborating, especially in misc_keywords. Example: Input: \"7th Element OIIA Cat, OIIA cat wearing 7th element head ban and sings 7th element song chorous with OIIA sounds\" Output: action_keywords: wearing, singing, performing emotion_keywords: excitement, joy, playfulness misc_keywords: cat, 7th element, headband, OIIA. the description may also have spelling and grammar issues, please fix it\n\nreturn in json:\n{\ndescription: \"\",\naction_keywords:[],\nemotion_keywords:[],\nmisc_keywords:[],\n}",
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],
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],
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],
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[
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'role' => 'user',
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'content' => [
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[
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'type' => 'input_text',
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'text' => "Name: $name\nDescription: $description",
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],
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],
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],
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],
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'text' => [
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'format' => [
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'type' => 'json_object',
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],
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],
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'reasoning' => new \stdClass,
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'tools' => [],
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'temperature' => 1,
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'max_output_tokens' => 2048,
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'top_p' => 1,
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'store' => true,
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]);
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return $response->json();
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}
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public static function getSingleMemeGenerator($user_prompt)
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{
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$caption_descriptions = [
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'A humorous, funny one-liner that starts with "When you", describes a specific visual or situational moment, avoids vagueness, and ends with no punctuation',
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'A POV meme that starts with "POV: ", clearly describes a specific scenario or feeling with high context, and ends with no punctuation',
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'A humorous, funny one-liner that starts with "I", grounded in a relatable, situational experience with visual context, and ends with no punctuation',
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'A humorous, funny one-liner that starts with "You", focused on a clear, specific reaction or moment, and ends with no punctuation',
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'A humorous, funny one-liner with no punctuation that describes a vivid, realistic scenario or reaction in a clearly defined context',
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];
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$response = Http::withHeaders([
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'Content-Type' => 'application/json',
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'Authorization' => 'Bearer ' . env('OPENAI_API_KEY'),
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])
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->post('https://api.openai.com/v1/responses', [
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'model' => 'gpt-4.1-nano',
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'input' => [
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[
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'role' => 'system',
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'content' => [
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[
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'type' => 'input_text',
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'text' => '"You are an AI meme writer for a video meme generator.\n\nYour task is to generate a JSON array containing a unique, short-form workplace-related video meme ideas.\n\nEach meme object must include the following fields, with the format shown below. Each field contains an inline description of the type of content it must generate.\n\nReturn **only** a Markdown code block containing valid JSON with inline content guidance (as strings). Do not add any commentary or explanation outside the code block.\n\n- All memes must be funny, relatable, and clearly connected to the provided topic.\n- Use realistic but exaggerated expressions and settings to match meme-style content.\n- Style should suit video formats like TikTok, Instagram Reels, or YouTube Shorts."',
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],
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],
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],
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[
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'role' => 'user',
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'content' => [
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[
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'type' => 'input_text',
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'text' => $user_prompt,
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],
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],
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],
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],
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'text' => [
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'format' => [
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'type' => 'json_schema',
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'name' => 'meme_generator_single_1',
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'strict' => true,
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'schema' => [
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'type' => 'object',
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'properties' => [
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'caption' => [
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'type' => 'string',
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'description' => $caption_descriptions[rand(0, count($caption_descriptions) - 1)],
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],
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'primary_keyword_type' => [
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'type' => 'string',
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'description' => "Primary keyword type, choose only between: (action|emotion|misc)",
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],
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'action_keywords' => [
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'type' => 'array',
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'description' => 'List specific actions being performed in the meme (e.g., wearing, singing, dancing)',
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'items' => [
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'type' => 'string',
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],
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],
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'emotion_keywords' => [
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'type' => 'array',
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'description' => 'List feelings and emotions conveyed by the meme (e.g., joy, excitement, sadness)',
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'items' => [
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'type' => 'string',
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],
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],
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'misc_keywords' => [
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'type' => 'array',
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'description' => 'List core identifying elements - keep this concise and focused on essential references only (e.g., main subjects, key objects, proper nouns)',
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'items' => [
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'type' => 'string',
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],
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],
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'background' => [
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'type' => 'string',
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'description' => "Use this exact structure: 'Location: [setting only, e.g., empty office with cluttered desk and monitor]'. Do not mention people, animals, actions, or any living beings. No verbs. No brand names. Only interior spaces or physical locations. Examples: 'Location: quiet office cubicle with headset and papers'.",
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],
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'keywords' => [
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'type' => 'array',
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'description' => 'Relevant lowercase tags for the meme (e.g., "burnout", "email fail", "meetings")',
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'items' => [
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'type' => 'string',
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],
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],
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],
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'required' => [
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'caption',
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'primary_keyword_type',
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'action_keywords',
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'emotion_keywords',
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'misc_keywords',
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'background',
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'keywords',
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],
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'additionalProperties' => false,
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],
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],
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],
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'reasoning' => (object) [],
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'tools' => [],
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'temperature' => 1,
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'max_output_tokens' => 2048,
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'top_p' => 1,
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'store' => true,
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]);
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// Get the response data
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$data = $response->json();
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// Check if the request was successful
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if ($response->successful()) {
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// Handle successful response
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return $data;
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} else {
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// Handle error
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throw new \Exception('API request failed: ' . $response->body());
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}
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}
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public static function getOpenAIOutput($data)
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{
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// dump($data);
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$output = null;
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$response_type = data_get($data, 'output.0.content.0.type', null);
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if ($response_type === 'output_text') {
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$output = data_get($data, 'output.0.content.0.text', null);
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} elseif ($response_type === 'refusal') {
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$output = data_get($data, 'output.0.content.0.refusal', null);
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}
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return $output;
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}
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}
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