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        الاستنتاج عبر خط الأوامر
      
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        1. الحصول على رموز VQ من الصوت المرجعي
      
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        تحميل الأوزان
      
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    <a href="https://github.com/fishaudio/fish-speech/blob/main/docs/ar/inference.md" title="عدل الصفحة" class="md-content__button md-icon" rel="edit">
      
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<h1 id="_1">الاستنتاج</h1>
<p>يتطلب نموذج Fish Audio S2 ذاكرة فيديو (VRAM) كبيرة. نوصي باستخدام وحدة معالجة رسومات (GPU) بسعة 24 جيجابايت على الأقل للاستنتاج.</p>
<h2 id="_2">تحميل الأوزان</h2>
<p>أولاً ، تحتاج إلى تحميل أوزان النموذج:</p>
<div class="language-bash highlight"><pre><span></span><code><span id="__span-0-1"><a id="__codelineno-0-1" name="__codelineno-0-1" href="#__codelineno-0-1"></a>hf<span class="w"> </span>download<span class="w"> </span>fishaudio/s2-pro<span class="w"> </span>--local-dir<span class="w"> </span>checkpoints/s2-pro
</span></code></pre></div>
<h2 id="_3">الاستنتاج عبر خط الأوامر</h2>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>إذا كنت تخطط لترك النموذج يختار نغمة الصوت عشوائيًا ، فيمكنك تخطي هذه الخطوة.</p>
</div>
<h3 id="1-vq">1. الحصول على رموز VQ من الصوت المرجعي</h3>
<div class="language-bash highlight"><pre><span></span><code><span id="__span-1-1"><a id="__codelineno-1-1" name="__codelineno-1-1" href="#__codelineno-1-1"></a>python<span class="w"> </span>fish_speech/models/dac/inference.py<span class="w"> </span><span class="se">\</span>
</span><span id="__span-1-2"><a id="__codelineno-1-2" name="__codelineno-1-2" href="#__codelineno-1-2"></a><span class="w">    </span>-i<span class="w"> </span><span class="s2">&quot;test.wav&quot;</span><span class="w"> </span><span class="se">\</span>
</span><span id="__span-1-3"><a id="__codelineno-1-3" name="__codelineno-1-3" href="#__codelineno-1-3"></a><span class="w">    </span>--checkpoint-path<span class="w"> </span><span class="s2">&quot;checkpoints/s2-pro/codec.pth&quot;</span>
</span></code></pre></div>
<p>يجب أن تحصل على <code>fake.npy</code> و <code>fake.wav</code>.</p>
<h3 id="2-semantic-tokens">2. توليد الرموز الدلالية (Semantic tokens) من النص:</h3>
<div class="language-bash highlight"><pre><span></span><code><span id="__span-2-1"><a id="__codelineno-2-1" name="__codelineno-2-1" href="#__codelineno-2-1"></a>python<span class="w"> </span>fish_speech/models/text2semantic/inference.py<span class="w"> </span><span class="se">\</span>
</span><span id="__span-2-2"><a id="__codelineno-2-2" name="__codelineno-2-2" href="#__codelineno-2-2"></a><span class="w">    </span>--text<span class="w"> </span><span class="s2">&quot;النص الذي تريد تحويله&quot;</span><span class="w"> </span><span class="se">\</span>
</span><span id="__span-2-3"><a id="__codelineno-2-3" name="__codelineno-2-3" href="#__codelineno-2-3"></a><span class="w">    </span>--prompt-text<span class="w"> </span><span class="s2">&quot;النص المرجعي الخاص بك&quot;</span><span class="w"> </span><span class="se">\</span>
</span><span id="__span-2-4"><a id="__codelineno-2-4" name="__codelineno-2-4" href="#__codelineno-2-4"></a><span class="w">    </span>--prompt-tokens<span class="w"> </span><span class="s2">&quot;fake.npy&quot;</span><span class="w"> </span><span class="se">\</span>
</span><span id="__span-2-5"><a id="__codelineno-2-5" name="__codelineno-2-5" href="#__codelineno-2-5"></a><span class="w">    </span><span class="c1"># --compile</span>
</span></code></pre></div>
<p>سيقوم هذا الأمر بإنشاء ملف <code>codes_N</code> في دليل العمل ، حيث N هو عدد صحيح يبدأ من 0.</p>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>قد ترغب في استخدام <code>--compile</code> لدمج نوى CUDA لاستنتاج أسرع. ومع ذلك ، نوصي باستخدام تحسين تسريع الاستنتاج sglang الخاص بنا.
بالمقابل ، إذا كنت لا تخطط لاستخدام التسريع ، يمكنك التعليق على معلمة <code>--compile</code>.</p>
</div>
<div class="admonition info">
<p class="admonition-title">Info</p>
<p>بالنسبة لوحدات معالجة الرسومات التي لا تدعم bf16 ، قد تحتاج إلى استخدام معلمة <code>--half</code>.</p>
</div>
<h3 id="3">3. توليد الصوت من الرموز الدلالية:</h3>
<div class="language-bash highlight"><pre><span></span><code><span id="__span-3-1"><a id="__codelineno-3-1" name="__codelineno-3-1" href="#__codelineno-3-1"></a>python<span class="w"> </span>fish_speech/models/dac/inference.py<span class="w"> </span><span class="se">\</span>
</span><span id="__span-3-2"><a id="__codelineno-3-2" name="__codelineno-3-2" href="#__codelineno-3-2"></a><span class="w">    </span>-i<span class="w"> </span><span class="s2">&quot;codes_0.npy&quot;</span><span class="w"> </span><span class="se">\</span>
</span></code></pre></div>
<p>بعد ذلك ستحصل على ملف <code>fake.wav</code>.</p>
<h2 id="webui">استنتاج WebUI</h2>
<h3 id="1-gradio-webui">1. Gradio WebUI</h3>
<p>للحفاظ على التوافق، ما زلنا نحتفظ بواجهة Gradio WebUI السابقة.</p>
<div class="language-bash highlight"><pre><span></span><code><span id="__span-4-1"><a id="__codelineno-4-1" name="__codelineno-4-1" href="#__codelineno-4-1"></a>python<span class="w"> </span>tools/run_webui.py<span class="w"> </span><span class="c1"># --compile إذا كنت بحاجة إلى تسريع</span>
</span></code></pre></div>
<h3 id="2-awesome-webui">2. Awesome WebUI</h3>
<p>تعد Awesome WebUI واجهة ويب حديثة تعتمد على TypeScript، وتوفر ميزات أغنى وتجربة مستخدم أفضل.</p>
<p><strong>بناء WebUI:</strong></p>
<p>يجب أن يكون لديك Node.js و npm مثبتين على جهازك المحلي أو الخادم.</p>
<ol>
<li>ادخل إلى دليل <code>awesome_webui</code>:
   <div class="language-bash highlight"><pre><span></span><code><span id="__span-5-1"><a id="__codelineno-5-1" name="__codelineno-5-1" href="#__codelineno-5-1"></a><span class="nb">cd</span><span class="w"> </span>awesome_webui
</span></code></pre></div></li>
<li>تثبيت التبعيات:
   <div class="language-bash highlight"><pre><span></span><code><span id="__span-6-1"><a id="__codelineno-6-1" name="__codelineno-6-1" href="#__codelineno-6-1"></a>npm<span class="w"> </span>install
</span></code></pre></div></li>
<li>بناء WebUI:
   <div class="language-bash highlight"><pre><span></span><code><span id="__span-7-1"><a id="__codelineno-7-1" name="__codelineno-7-1" href="#__codelineno-7-1"></a>npm<span class="w"> </span>run<span class="w"> </span>build
</span></code></pre></div></li>
</ol>
<p><strong>بدء تشغيل خادم الخلفية:</strong></p>
<p>بعد بناء WebUI، عد إلى دليل جذر المشروع وقم بتشغيل خادم API:</p>
<div class="language-bash highlight"><pre><span></span><code><span id="__span-8-1"><a id="__codelineno-8-1" name="__codelineno-8-1" href="#__codelineno-8-1"></a>python<span class="w"> </span>tools/api_server.py<span class="w"> </span>--listen<span class="w"> </span><span class="m">0</span>.0.0.0:8888<span class="w"> </span>--compile
</span></code></pre></div>
<p><strong>الوصول:</strong></p>
<p>بمجرد تشغيل الخادم، يمكنك الوصول إليه عبر المتصفح على العنوان التالي:
<code>http://localhost:8888/ui</code></p>


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