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    Example of LLaMA chat session
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    Examples of chatting with LLaVA
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        Use executors
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        Use ChatSession
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        Understand LLamaContext
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        Get embeddings
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        Quantize the model
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        semantic-kernel integration
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        kernel-memory integration
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        Bacthed executor - multi-output to one input
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        Batched executor - basic guidance
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        Batched executor - rewinding to an earlier state
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        Chinese LLM - with GB2312 encoding
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        ChatSession - stripping role names
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        ChatSession - with history
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        ChatSession - restarting
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        ChatSession - Basic
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        Coding assistant
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        Get embeddings
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        Grammar - json response
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        Instruct executor - basic
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        Interactive executor - basic
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        Kernel memory integration - basic
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        Kernel-memory - save & load
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      <a href="../Examples/LLavaInteractiveModeExecute/" class="md-nav__link">
        LLaVA - basic
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        ChatSession - load & save
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        Executor - save/load state
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        Quantization
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        Semantic-kernel - chat
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        Semantic-kernel - with kernel-memory
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        Semantic-kernel - basic
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        Stateless executor
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        Talk to yourself
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<h1 id="quick-start">Quick start<a class="headerlink" href="#quick-start" title="Permanent link"></a></h1>
<h2 id="installation">Installation<a class="headerlink" href="#installation" title="Permanent link"></a></h2>
<p>To gain high performance, LLamaSharp interacts with a native library compiled from c++, which is called <code>backend</code>. We provide backend packages for Windows, Linux and MAC with CPU, Cuda, Metal and OpenCL. You <strong>don't</strong> need to handle anything about c++ but just install the backend packages.</p>
<p>If no published backend match your device, please open an issue to let us know. If compiling c++ code is not difficult for you, you could also follow <a href="../ContributingGuide/">this guide</a> to compile a backend and run LLamaSharp with it.</p>
<ol>
<li>Install <a href="https://www.nuget.org/packages/LLamaSharp">LLamaSharp</a> package on NuGet:</li>
</ol>
<div class="highlight"><table class="highlighttable"><tr><td class="linenos"><div class="linenodiv"><pre><span></span><span class="normal">1</span></pre></div></td><td class="code"><div><pre><span></span><code>PM&gt; Install-Package LLamaSharp
</code></pre></div></td></tr></table></div>
<ol>
<li>
<p>Install one or more of these backends, or use self-compiled backend.</p>
</li>
<li>
<p><a href="https://www.nuget.org/packages/LLamaSharp.Backend.Cpu"><code>LLamaSharp.Backend.Cpu</code></a>: Pure CPU for Windows &amp; Linux &amp; MAC. Metal (GPU) support for MAC.</p>
</li>
<li><a href="https://www.nuget.org/packages/LLamaSharp.Backend.Cuda11"><code>LLamaSharp.Backend.Cuda11</code></a>: CUDA11 for Windows &amp; Linux.</li>
<li><a href="https://www.nuget.org/packages/LLamaSharp.Backend.Cuda12"><code>LLamaSharp.Backend.Cuda12</code></a>: CUDA 12 for Windows &amp; Linux.</li>
<li>
<p><a href="https://www.nuget.org/packages/LLamaSharp.Backend.OpenCL"><code>LLamaSharp.Backend.OpenCL</code></a>: OpenCL for Windows &amp; Linux.</p>
</li>
<li>
<p>(optional) For <a href="https://github.com/microsoft/semantic-kernel">Microsoft semantic-kernel</a> integration, install the <a href="https://www.nuget.org/packages/LLamaSharp.semantic-kernel">LLamaSharp.semantic-kernel</a> package.</p>
</li>
<li>(optional) To enable RAG support, install the <a href="https://www.nuget.org/packages/LLamaSharp.kernel-memory">LLamaSharp.kernel-memory</a> package (this package only supports <code>net6.0</code> or higher yet), which is based on <a href="https://github.com/microsoft/kernel-memory">Microsoft kernel-memory</a> integration.</li>
</ol>
<h2 id="model-preparation">Model preparation<a class="headerlink" href="#model-preparation" title="Permanent link"></a></h2>
<p>There are two popular format of model file of LLM now, which are PyTorch format (.pth) and Huggingface format (.bin). LLamaSharp uses <code>GGUF</code> format file, which could be converted from these two formats. To get <code>GGUF</code> file, there are two options:</p>
<ol>
<li>
<p>Search model name + 'gguf' in <a href="https://huggingface.co">Huggingface</a>, you will find lots of model files that have already been converted to GGUF format. Please take care of the publishing time of them because some old ones could only work with old version of LLamaSharp.</p>
</li>
<li>
<p>Convert PyTorch or Huggingface format to GGUF format yourself. Please follow the instructions of <a href="https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#prepare-and-quantize">this part of llama.cpp readme</a> to convert them with the python scripts.</p>
</li>
</ol>
<p>Generally, we recommend downloading models with quantization rather than fp16, because it significantly reduce the required memory size while only slightly impact on its generation quality.</p>
<h2 id="example-of-llama-chat-session">Example of LLaMA chat session<a class="headerlink" href="#example-of-llama-chat-session" title="Permanent link"></a></h2>
<p>Here is a simple example to chat with bot based on LLM in LLamaSharp. Please replace the model path with yours.</p>
<p><img alt="llama_demo" src="../media/console_demo.gif" /></p>
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<span class="normal">47</span></pre></div></td><td class="code"><div><pre><span></span><code><span class="k">using</span><span class="w"> </span><span class="nn">LLama.Common</span><span class="p">;</span>
<span class="k">using</span><span class="w"> </span><span class="nn">LLama</span><span class="p">;</span>

<span class="kt">string</span><span class="w"> </span><span class="n">modelPath</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s">@&quot;&lt;Your Model Path&gt;&quot;</span><span class="p">;</span><span class="w"> </span><span class="c1">// change it to your own model path.</span>

<span class="kt">var</span><span class="w"> </span><span class="n">parameters</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">new</span><span class="w"> </span><span class="n">ModelParams</span><span class="p">(</span><span class="n">modelPath</span><span class="p">)</span>
<span class="p">{</span>
<span class="w">    </span><span class="n">ContextSize</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="m">1024</span><span class="p">,</span><span class="w"> </span><span class="c1">// The longest length of chat as memory.</span>
<span class="w">    </span><span class="n">GpuLayerCount</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="m">5</span><span class="w"> </span><span class="c1">// How many layers to offload to GPU. Please adjust it according to your GPU memory.</span>
<span class="p">};</span>
<span class="k">using</span><span class="w"> </span><span class="nn">var</span><span class="w"> </span><span class="n">model</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">LLamaWeights</span><span class="p">.</span><span class="n">LoadFromFile</span><span class="p">(</span><span class="n">parameters</span><span class="p">);</span>
<span class="k">using</span><span class="w"> </span><span class="nn">var</span><span class="w"> </span><span class="n">context</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">model</span><span class="p">.</span><span class="n">CreateContext</span><span class="p">(</span><span class="n">parameters</span><span class="p">);</span>
<span class="kt">var</span><span class="w"> </span><span class="n">executor</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">new</span><span class="w"> </span><span class="n">InteractiveExecutor</span><span class="p">(</span><span class="n">context</span><span class="p">);</span>

<span class="c1">// Add chat histories as prompt to tell AI how to act.</span>
<span class="kt">var</span><span class="w"> </span><span class="n">chatHistory</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">new</span><span class="w"> </span><span class="n">ChatHistory</span><span class="p">();</span>
<span class="n">chatHistory</span><span class="p">.</span><span class="n">AddMessage</span><span class="p">(</span><span class="n">AuthorRole</span><span class="p">.</span><span class="n">System</span><span class="p">,</span><span class="w"> </span><span class="s">&quot;Transcript of a dialog, where the User interacts with an Assistant named Bob. Bob is helpful, kind, honest, good at writing, and never fails to answer the User&#39;s requests immediately and with precision.&quot;</span><span class="p">);</span>
<span class="n">chatHistory</span><span class="p">.</span><span class="n">AddMessage</span><span class="p">(</span><span class="n">AuthorRole</span><span class="p">.</span><span class="n">User</span><span class="p">,</span><span class="w"> </span><span class="s">&quot;Hello, Bob.&quot;</span><span class="p">);</span>
<span class="n">chatHistory</span><span class="p">.</span><span class="n">AddMessage</span><span class="p">(</span><span class="n">AuthorRole</span><span class="p">.</span><span class="n">Assistant</span><span class="p">,</span><span class="w"> </span><span class="s">&quot;Hello. How may I help you today?&quot;</span><span class="p">);</span>

<span class="n">ChatSession</span><span class="w"> </span><span class="n">session</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">new</span><span class="p">(</span><span class="n">executor</span><span class="p">,</span><span class="w"> </span><span class="n">chatHistory</span><span class="p">);</span>

<span class="n">InferenceParams</span><span class="w"> </span><span class="n">inferenceParams</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">new</span><span class="w"> </span><span class="n">InferenceParams</span><span class="p">()</span>
<span class="p">{</span>
<span class="w">    </span><span class="n">MaxTokens</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="m">256</span><span class="p">,</span><span class="w"> </span><span class="c1">// No more than 256 tokens should appear in answer. Remove it if antiprompt is enough for control.</span>
<span class="w">    </span><span class="n">AntiPrompts</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">new</span><span class="w"> </span><span class="n">List</span><span class="o">&lt;</span><span class="kt">string</span><span class="o">&gt;</span><span class="w"> </span><span class="p">{</span><span class="w"> </span><span class="s">&quot;User:&quot;</span><span class="w"> </span><span class="p">}</span><span class="w"> </span><span class="c1">// Stop generation once antiprompts appear.</span>
<span class="p">};</span>

<span class="n">Console</span><span class="p">.</span><span class="n">ForegroundColor</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">ConsoleColor</span><span class="p">.</span><span class="n">Yellow</span><span class="p">;</span>
<span class="n">Console</span><span class="p">.</span><span class="n">Write</span><span class="p">(</span><span class="s">&quot;The chat session has started.\nUser: &quot;</span><span class="p">);</span>
<span class="n">Console</span><span class="p">.</span><span class="n">ForegroundColor</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">ConsoleColor</span><span class="p">.</span><span class="n">Green</span><span class="p">;</span>
<span class="kt">string</span><span class="w"> </span><span class="n">userInput</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">Console</span><span class="p">.</span><span class="n">ReadLine</span><span class="p">()</span><span class="w"> </span><span class="o">??</span><span class="w"> </span><span class="s">&quot;&quot;</span><span class="p">;</span>

<span class="k">while</span><span class="w"> </span><span class="p">(</span><span class="n">userInput</span><span class="w"> </span><span class="o">!=</span><span class="w"> </span><span class="s">&quot;exit&quot;</span><span class="p">)</span>
<span class="p">{</span>
<span class="w">    </span><span class="k">await</span><span class="w"> </span><span class="nf">foreach</span><span class="w"> </span><span class="p">(</span><span class="w"> </span><span class="c1">// Generate the response streamingly.</span>
<span class="w">        </span><span class="kt">var</span><span class="w"> </span><span class="n">text</span>
<span class="w">        </span><span class="k">in</span><span class="w"> </span><span class="n">session</span><span class="p">.</span><span class="n">ChatAsync</span><span class="p">(</span>
<span class="w">            </span><span class="k">new</span><span class="w"> </span><span class="n">ChatHistory</span><span class="p">.</span><span class="n">Message</span><span class="p">(</span><span class="n">AuthorRole</span><span class="p">.</span><span class="n">User</span><span class="p">,</span><span class="w"> </span><span class="n">userInput</span><span class="p">),</span>
<span class="w">            </span><span class="n">inferenceParams</span><span class="p">))</span>
<span class="w">    </span><span class="p">{</span>
<span class="w">        </span><span class="n">Console</span><span class="p">.</span><span class="n">ForegroundColor</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">ConsoleColor</span><span class="p">.</span><span class="n">White</span><span class="p">;</span>
<span class="w">        </span><span class="n">Console</span><span class="p">.</span><span class="n">Write</span><span class="p">(</span><span class="n">text</span><span class="p">);</span>
<span class="w">    </span><span class="p">}</span>
<span class="w">    </span><span class="n">Console</span><span class="p">.</span><span class="n">ForegroundColor</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">ConsoleColor</span><span class="p">.</span><span class="n">Green</span><span class="p">;</span>
<span class="w">    </span><span class="n">userInput</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">Console</span><span class="p">.</span><span class="n">ReadLine</span><span class="p">()</span><span class="w"> </span><span class="o">??</span><span class="w"> </span><span class="s">&quot;&quot;</span><span class="p">;</span>
<span class="p">}</span>
</code></pre></div></td></tr></table></div>
<h2 id="examples-of-chatting-with-llava">Examples of chatting with LLaVA<a class="headerlink" href="#examples-of-chatting-with-llava" title="Permanent link"></a></h2>
<p>This example shows chatting with LLaVA to ask it to describe the picture.
<img alt="llava_demo" src="../media/llava_demo.gif" /></p>
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<span class="normal">95</span></pre></div></td><td class="code"><div><pre><span></span><code><span class="k">using</span><span class="w"> </span><span class="nn">System.Text.RegularExpressions</span><span class="p">;</span>
<span class="k">using</span><span class="w"> </span><span class="nn">LLama</span><span class="p">;</span>
<span class="k">using</span><span class="w"> </span><span class="nn">LLama.Common</span><span class="p">;</span>

<span class="kt">string</span><span class="w"> </span><span class="n">multiModalProj</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s">@&quot;&lt;Your multi-modal proj file path&gt;&quot;</span><span class="p">;</span>
<span class="kt">string</span><span class="w"> </span><span class="n">modelPath</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s">@&quot;&lt;Your LLaVA model file path&gt;&quot;</span><span class="p">;</span>
<span class="kt">string</span><span class="w"> </span><span class="n">modelImage</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s">@&quot;&lt;Your image path&gt;&quot;</span><span class="p">;</span>
<span class="k">const</span><span class="w"> </span><span class="kt">int</span><span class="w"> </span><span class="n">maxTokens</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="m">1024</span><span class="p">;</span><span class="w"> </span><span class="c1">// The max tokens that could be generated.</span>

<span class="kt">var</span><span class="w"> </span><span class="n">prompt</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s">$&quot;{{{modelImage}}}\nUSER:\nProvide a full description of the image.\nASSISTANT:\n&quot;</span><span class="p">;</span>

<span class="kt">var</span><span class="w"> </span><span class="n">parameters</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">new</span><span class="w"> </span><span class="n">ModelParams</span><span class="p">(</span><span class="n">modelPath</span><span class="p">)</span>
<span class="p">{</span>
<span class="w">    </span><span class="n">ContextSize</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="m">4096</span><span class="p">,</span>
<span class="w">    </span><span class="n">Seed</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="m">1337</span><span class="p">,</span>
<span class="p">};</span>
<span class="k">using</span><span class="w"> </span><span class="nn">var</span><span class="w"> </span><span class="n">model</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">LLamaWeights</span><span class="p">.</span><span class="n">LoadFromFile</span><span class="p">(</span><span class="n">parameters</span><span class="p">);</span>
<span class="k">using</span><span class="w"> </span><span class="nn">var</span><span class="w"> </span><span class="n">context</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">model</span><span class="p">.</span><span class="n">CreateContext</span><span class="p">(</span><span class="n">parameters</span><span class="p">);</span>

<span class="c1">// Llava Init</span>
<span class="k">using</span><span class="w"> </span><span class="nn">var</span><span class="w"> </span><span class="n">clipModel</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">LLavaWeights</span><span class="p">.</span><span class="n">LoadFromFile</span><span class="p">(</span><span class="n">multiModalProj</span><span class="p">);</span>

<span class="kt">var</span><span class="w"> </span><span class="n">ex</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">new</span><span class="w"> </span><span class="n">InteractiveExecutor</span><span class="p">(</span><span class="n">context</span><span class="p">,</span><span class="w"> </span><span class="n">clipModel</span><span class="p">);</span>

<span class="n">Console</span><span class="p">.</span><span class="n">ForegroundColor</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">ConsoleColor</span><span class="p">.</span><span class="n">Yellow</span><span class="p">;</span>
<span class="n">Console</span><span class="p">.</span><span class="n">WriteLine</span><span class="p">(</span><span class="s">&quot;The executor has been enabled. In this example, the prompt is printed, the maximum tokens is set to {0} and the context size is {1}.&quot;</span><span class="p">,</span><span class="w"> </span><span class="n">maxTokens</span><span class="p">,</span><span class="w"> </span><span class="n">parameters</span><span class="p">.</span><span class="n">ContextSize</span><span class="p">);</span>
<span class="n">Console</span><span class="p">.</span><span class="n">WriteLine</span><span class="p">(</span><span class="s">&quot;To send an image, enter its filename in curly braces, like this {c:/image.jpg}.&quot;</span><span class="p">);</span>

<span class="kt">var</span><span class="w"> </span><span class="n">inferenceParams</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">new</span><span class="w"> </span><span class="n">InferenceParams</span><span class="p">()</span><span class="w"> </span><span class="p">{</span><span class="w"> </span><span class="n">Temperature</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="m">0.1f</span><span class="p">,</span><span class="w"> </span><span class="n">AntiPrompts</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">new</span><span class="w"> </span><span class="n">List</span><span class="o">&lt;</span><span class="kt">string</span><span class="o">&gt;</span><span class="w"> </span><span class="p">{</span><span class="w"> </span><span class="s">&quot;\nUSER:&quot;</span><span class="w"> </span><span class="p">},</span><span class="w"> </span><span class="n">MaxTokens</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">maxTokens</span><span class="w"> </span><span class="p">};</span>

<span class="k">do</span>
<span class="p">{</span>

<span class="w">    </span><span class="c1">// Evaluate if we have images</span>
<span class="w">    </span><span class="c1">//</span>
<span class="w">    </span><span class="kt">var</span><span class="w"> </span><span class="n">imageMatches</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">Regex</span><span class="p">.</span><span class="n">Matches</span><span class="p">(</span><span class="n">prompt</span><span class="p">,</span><span class="w"> </span><span class="s">&quot;{([^}]*)}&quot;</span><span class="p">).</span><span class="n">Select</span><span class="p">(</span><span class="n">m</span><span class="w"> </span><span class="o">=&gt;</span><span class="w"> </span><span class="n">m</span><span class="p">.</span><span class="n">Value</span><span class="p">);</span>
<span class="w">    </span><span class="kt">var</span><span class="w"> </span><span class="n">imageCount</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">imageMatches</span><span class="p">.</span><span class="n">Count</span><span class="p">();</span>
<span class="w">    </span><span class="kt">var</span><span class="w"> </span><span class="n">hasImages</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">imageCount</span><span class="w"> </span><span class="o">&gt;</span><span class="w"> </span><span class="m">0</span><span class="p">;</span>
<span class="w">    </span><span class="kt">byte</span><span class="p">[][]</span><span class="w"> </span><span class="n">imageBytes</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">null</span><span class="p">;</span>

<span class="w">    </span><span class="k">if</span><span class="w"> </span><span class="p">(</span><span class="n">hasImages</span><span class="p">)</span>
<span class="w">    </span><span class="p">{</span>
<span class="w">        </span><span class="kt">var</span><span class="w"> </span><span class="n">imagePathsWithCurlyBraces</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">Regex</span><span class="p">.</span><span class="n">Matches</span><span class="p">(</span><span class="n">prompt</span><span class="p">,</span><span class="w"> </span><span class="s">&quot;{([^}]*)}&quot;</span><span class="p">).</span><span class="n">Select</span><span class="p">(</span><span class="n">m</span><span class="w"> </span><span class="o">=&gt;</span><span class="w"> </span><span class="n">m</span><span class="p">.</span><span class="n">Value</span><span class="p">);</span>
<span class="w">        </span><span class="kt">var</span><span class="w"> </span><span class="n">imagePaths</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">Regex</span><span class="p">.</span><span class="n">Matches</span><span class="p">(</span><span class="n">prompt</span><span class="p">,</span><span class="w"> </span><span class="s">&quot;{([^}]*)}&quot;</span><span class="p">).</span><span class="n">Select</span><span class="p">(</span><span class="n">m</span><span class="w"> </span><span class="o">=&gt;</span><span class="w"> </span><span class="n">m</span><span class="p">.</span><span class="n">Groups</span><span class="p">[</span><span class="m">1</span><span class="p">].</span><span class="n">Value</span><span class="p">);</span>

<span class="w">        </span><span class="k">try</span>
<span class="w">        </span><span class="p">{</span>
<span class="w">            </span><span class="n">imageBytes</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">imagePaths</span><span class="p">.</span><span class="n">Select</span><span class="p">(</span><span class="n">File</span><span class="p">.</span><span class="n">ReadAllBytes</span><span class="p">).</span><span class="n">ToArray</span><span class="p">();</span>
<span class="w">        </span><span class="p">}</span>
<span class="w">        </span><span class="k">catch</span><span class="w"> </span><span class="p">(</span><span class="n">IOException</span><span class="w"> </span><span class="n">exception</span><span class="p">)</span>
<span class="w">        </span><span class="p">{</span>
<span class="w">            </span><span class="n">Console</span><span class="p">.</span><span class="n">ForegroundColor</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">ConsoleColor</span><span class="p">.</span><span class="n">Red</span><span class="p">;</span>
<span class="w">            </span><span class="n">Console</span><span class="p">.</span><span class="n">Write</span><span class="p">(</span>
<span class="w">                </span><span class="s">$&quot;Could not load your {(imageCount == 1 ? &quot;</span><span class="n">image</span><span class="s">&quot; : &quot;</span><span class="n">images</span><span class="s">&quot;)}:&quot;</span><span class="p">);</span>
<span class="w">            </span><span class="n">Console</span><span class="p">.</span><span class="n">Write</span><span class="p">(</span><span class="s">$&quot;{exception.Message}&quot;</span><span class="p">);</span>
<span class="w">            </span><span class="n">Console</span><span class="p">.</span><span class="n">ForegroundColor</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">ConsoleColor</span><span class="p">.</span><span class="n">Yellow</span><span class="p">;</span>
<span class="w">            </span><span class="n">Console</span><span class="p">.</span><span class="n">WriteLine</span><span class="p">(</span><span class="s">&quot;Please try again.&quot;</span><span class="p">);</span>
<span class="w">            </span><span class="k">break</span><span class="p">;</span>
<span class="w">        </span><span class="p">}</span>


<span class="w">        </span><span class="kt">int</span><span class="w"> </span><span class="n">index</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="m">0</span><span class="p">;</span>
<span class="w">        </span><span class="k">foreach</span><span class="w"> </span><span class="p">(</span><span class="kt">var</span><span class="w"> </span><span class="n">path</span><span class="w"> </span><span class="k">in</span><span class="w"> </span><span class="n">imagePathsWithCurlyBraces</span><span class="p">)</span>
<span class="w">        </span><span class="p">{</span>
<span class="w">            </span><span class="c1">// First image replace to tag &lt;image, the rest of the images delete the tag</span>
<span class="w">            </span><span class="k">if</span><span class="w"> </span><span class="p">(</span><span class="n">index</span><span class="o">++</span><span class="w"> </span><span class="o">==</span><span class="w"> </span><span class="m">0</span><span class="p">)</span>
<span class="w">                </span><span class="n">prompt</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">prompt</span><span class="p">.</span><span class="n">Replace</span><span class="p">(</span><span class="n">path</span><span class="p">,</span><span class="w"> </span><span class="s">&quot;&lt;image&gt;&quot;</span><span class="p">);</span>
<span class="w">            </span><span class="k">else</span>
<span class="w">                </span><span class="n">prompt</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">prompt</span><span class="p">.</span><span class="n">Replace</span><span class="p">(</span><span class="n">path</span><span class="p">,</span><span class="w"> </span><span class="s">&quot;&quot;</span><span class="p">);</span>
<span class="w">        </span><span class="p">}</span>
<span class="w">        </span><span class="n">Console</span><span class="p">.</span><span class="n">WriteLine</span><span class="p">();</span>


<span class="w">        </span><span class="c1">// Initilize Images in executor</span>
<span class="w">        </span><span class="c1">//</span>
<span class="w">        </span><span class="n">ex</span><span class="p">.</span><span class="n">ImagePaths</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">imagePaths</span><span class="p">.</span><span class="n">ToList</span><span class="p">();</span>
<span class="w">    </span><span class="p">}</span>

<span class="w">    </span><span class="n">Console</span><span class="p">.</span><span class="n">ForegroundColor</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">ConsoleColor</span><span class="p">.</span><span class="n">White</span><span class="p">;</span>
<span class="w">    </span><span class="k">await</span><span class="w"> </span><span class="nf">foreach</span><span class="w"> </span><span class="p">(</span><span class="kt">var</span><span class="w"> </span><span class="n">text</span><span class="w"> </span><span class="k">in</span><span class="w"> </span><span class="n">ex</span><span class="p">.</span><span class="n">InferAsync</span><span class="p">(</span><span class="n">prompt</span><span class="p">,</span><span class="w"> </span><span class="n">inferenceParams</span><span class="p">))</span>
<span class="w">    </span><span class="p">{</span>
<span class="w">        </span><span class="n">Console</span><span class="p">.</span><span class="n">Write</span><span class="p">(</span><span class="n">text</span><span class="p">);</span>
<span class="w">    </span><span class="p">}</span>
<span class="w">    </span><span class="n">Console</span><span class="p">.</span><span class="n">Write</span><span class="p">(</span><span class="s">&quot; &quot;</span><span class="p">);</span>
<span class="w">    </span><span class="n">Console</span><span class="p">.</span><span class="n">ForegroundColor</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">ConsoleColor</span><span class="p">.</span><span class="n">Green</span><span class="p">;</span>
<span class="w">    </span><span class="n">prompt</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">Console</span><span class="p">.</span><span class="n">ReadLine</span><span class="p">();</span>
<span class="w">    </span><span class="n">Console</span><span class="p">.</span><span class="n">WriteLine</span><span class="p">();</span>

<span class="w">    </span><span class="c1">// let the user finish with exit</span>
<span class="w">    </span><span class="c1">//</span>
<span class="w">    </span><span class="k">if</span><span class="w"> </span><span class="p">(</span><span class="n">prompt</span><span class="p">.</span><span class="n">Equals</span><span class="p">(</span><span class="s">&quot;/exit&quot;</span><span class="p">,</span><span class="w"> </span><span class="n">StringComparison</span><span class="p">.</span><span class="n">OrdinalIgnoreCase</span><span class="p">))</span>
<span class="w">        </span><span class="k">break</span><span class="p">;</span>

<span class="p">}</span>
<span class="k">while</span><span class="w"> </span><span class="p">(</span><span class="k">true</span><span class="p">);</span>
</code></pre></div></td></tr></table></div>
<p><em>For more examples, please refer to <a href="./LLama.Examples">LLamaSharp.Examples</a>.</em></p>


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