316 lines
12 KiB
HTML
316 lines
12 KiB
HTML
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<a href="https://uncloseai.com"><h1 class="unturf" style="font-family: 'ChunkFiveRegular';">uncloseai.</h1></a>
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<p>PHP Examples - Free LLM & TTS AI Service</p>
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<h2 id="php-intro">PHP Examples</h2>
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<p>This page demonstrates how to use the <strong>uncloseai.</strong> API endpoints with PHP using the openai-php/client community library. All examples use the same OpenAI-compatible API interface, making it easy to switch between different models and endpoints.</p>
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<p><strong>Available Endpoints:</strong></p>
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<ul>
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<li><strong>Hermes:</strong> <code>https://hermes.ai.unturf.com/v1</code> - General purpose conversational AI</li>
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<li><strong>Qwen 3 Coder:</strong> <code>https://qwen.ai.unturf.com/v1</code> - Specialized coding model</li>
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<li><strong>TTS:</strong> <code>https://speech.ai.unturf.com/v1</code> - Text-to-speech generation</li>
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</ul>
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<h3 id="php-client">PHP Client Installation</h3>
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<p>Install the OpenAI PHP client via Composer:</p>
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<pre><code class="bash">composer require openai-php/client</code></pre>
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<h2 id="php-non-streaming">Non-Streaming Examples</h2>
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<p>Non-streaming mode waits for the complete response before returning. This is simpler to use but provides no intermediate feedback during generation.</p>
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<h3 id="php-hermes-non-stream">Using Hermes (General Purpose)</h3>
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<pre><code class="php"><?php
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require 'vendor/autoload.php';
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use OpenAI;
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$client = OpenAI::factory()
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->withApiKey('choose-any-value')
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->withBaseUri('https://hermes.ai.unturf.com/v1')
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->make();
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$response = $client->chat()->create([
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'model' => 'adamo1139/Hermes-3-Llama-3.1-8B-FP8-Dynamic',
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'messages' => [
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['role' => 'user', 'content' => 'Give a Python Fizzbuzz solution in one line of code?'],
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],
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'temperature' => 0.5,
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'max_tokens' => 150,
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]);
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echo $response->choices[0]->message->content;
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</code></pre>
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<h3 id="php-qwen-non-stream">Using Qwen 3 Coder (Specialized for Coding)</h3>
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<pre><code class="php"><?php
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require 'vendor/autoload.php';
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use OpenAI;
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$client = OpenAI::factory()
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->withApiKey('choose-any-value')
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->withBaseUri('https://qwen.ai.unturf.com/v1')
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->make();
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$response = $client->chat()->create([
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'model' => 'hf.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:Q4_K_M',
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'messages' => [
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['role' => 'user', 'content' => 'Give a Python Fizzbuzz solution in one line of code?'],
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],
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'temperature' => 0.5,
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'max_tokens' => 150,
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]);
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echo $response->choices[0]->message->content;
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</code></pre>
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<h2 id="php-streaming">Streaming Examples</h2>
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<p>Streaming mode returns chunks of the response as they are generated, providing real-time feedback. This is ideal for interactive applications and long responses.</p>
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<h3 id="php-hermes-stream">Using Hermes (General Purpose)</h3>
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<pre><code class="php"><?php
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require 'vendor/autoload.php';
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use OpenAI;
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$client = OpenAI::factory()
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->withApiKey('choose-any-value')
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->withBaseUri('https://hermes.ai.unturf.com/v1')
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->make();
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$stream = $client->chat()->createStreamed([
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'model' => 'adamo1139/Hermes-3-Llama-3.1-8B-FP8-Dynamic',
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'messages' => [
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['role' => 'user', 'content' => 'Give a Python Fizzbuzz solution in one line of code?'],
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],
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'temperature' => 0.5,
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'max_tokens' => 150,
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]);
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foreach ($stream as $response) {
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echo $response->choices[0]->delta->content ?? '';
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}
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</code></pre>
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<h3 id="php-qwen-stream">Using Qwen 3 Coder (Specialized for Coding)</h3>
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<pre><code class="php"><?php
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require 'vendor/autoload.php';
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use OpenAI;
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$client = OpenAI::factory()
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->withApiKey('choose-any-value')
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->withBaseUri('https://qwen.ai.unturf.com/v1')
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->make();
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$stream = $client->chat()->createStreamed([
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'model' => 'hf.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:Q4_K_M',
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'messages' => [
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['role' => 'user', 'content' => 'Give a Python Fizzbuzz solution in one line of code?'],
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],
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'temperature' => 0.5,
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'max_tokens' => 150,
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]);
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foreach ($stream as $response) {
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echo $response->choices[0]->delta->content ?? '';
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}
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</code></pre>
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<h2 id="php-tts">Text-to-Speech Example</h2>
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<p>Generate audio speech from text using the TTS endpoint. The audio is saved as an MP3 file.</p>
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<pre><code class="php"><?php
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require 'vendor/autoload.php';
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use OpenAI;
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$client = OpenAI::factory()
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->withApiKey('YOLO')
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->withBaseUri('https://speech.ai.unturf.com/v1')
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->make();
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$response = $client->audio()->speech([
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'model' => 'tts-1',
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'voice' => 'alloy',
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'input' => 'I think so therefore, Today is a wonderful day to grow something people love!',
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'speed' => 0.9,
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]);
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file_put_contents('speech.mp3', $response);
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</code></pre>
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