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1.4/getting-started/installation/index.html

@@ -1568,6 +1568,7 @@ <h2 id="installing-the-streamlit-app">Installing the Streamlit App</h2>
 <div class="highlight"><pre><span></span><code><a id="__codelineno-3-1" name="__codelineno-3-1" href="#__codelineno-3-1"></a>pip install &quot;ydata-synthetic[streamlit]&quot;
 </code></pre></div>
 <p>Note that Jupyter or Colab Notebooks are not yet supported, so use it in your Python environment.</p>
+<p><img referrerpolicy="no-referrer-when-downgrade" src="https://static.scarf.sh/a.png?x-pxid=dd69a9f9-0901-4cb4-9e56-b1e69877dca1" /></p>
 
 
 

1.4/getting-started/quickstart/index.html

@@ -1616,6 +1616,7 @@ <h2 id="running-the-streamlit-app">Running the Streamlit App</h2>
 </div>
 <p>The console will then output the URL from which the app can be accessed.</p>
 <p><span class="twemoji" style="color: #EE0F0F"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 576 512"><!--! Font Awesome Free 6.2.1 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2022 Fonticons, Inc.--><path d="M549.655 124.083c-6.281-23.65-24.787-42.276-48.284-48.597C458.781 64 288 64 288 64S117.22 64 74.629 75.486c-23.497 6.322-42.003 24.947-48.284 48.597-11.412 42.867-11.412 132.305-11.412 132.305s0 89.438 11.412 132.305c6.281 23.65 24.787 41.5 48.284 47.821C117.22 448 288 448 288 448s170.78 0 213.371-11.486c23.497-6.321 42.003-24.171 48.284-47.821 11.412-42.867 11.412-132.305 11.412-132.305s0-89.438-11.412-132.305zm-317.51 213.508V175.185l142.739 81.205-142.739 81.201z"/></svg></span> Here's a <a href="https://www.youtube.com/watch?v=6Lzi26szKNo&amp;t=4s">quick example</a> of how to synthesize data with the Streamlit App  – <span class="twemoji"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M12.5 7.25a.75.75 0 0 0-1.5 0v5.5c0 .27.144.518.378.651l3.5 2a.75.75 0 0 0 .744-1.302L12.5 12.315V7.25Z"/><path d="M12 1c6.075 0 11 4.925 11 11s-4.925 11-11 11S1 18.075 1 12 5.925 1 12 1ZM2.5 12a9.5 9.5 0 0 0 9.5 9.5 9.5 9.5 0 0 0 9.5-9.5A9.5 9.5 0 0 0 12 2.5 9.5 9.5 0 0 0 2.5 12Z"/></svg></span> 5min</p>
+<p><img referrerpolicy="no-referrer-when-downgrade" src="https://static.scarf.sh/a.png?x-pxid=dd69a9f9-0901-4cb4-9e56-b1e69877dca1" /></p>
 
 
 

1.4/index.html

@@ -1601,6 +1601,7 @@ <h2 id="supported-generative-ai-models">Supported Generative AI Models</h2>
 <li><a href="https://papers.nips.cc/paper/2019/file/c9efe5f26cd17ba6216bbe2a7d26d490-Paper.pdf">TimeGAN</a> (specifically for <em>time-series</em> data)</li>
 <li><a href="https://dl.acm.org/doi/pdf/10.1145/3419394.3423643">DoppelGANger</a> (specifically for <em>time-series</em> data)</li>
 </ul>
+<p><img referrerpolicy="no-referrer-when-downgrade" src="https://static.scarf.sh/a.png?x-pxid=dd69a9f9-0901-4cb4-9e56-b1e69877dca1" /></p>
 
 
 

1.4/integrations/gx_integration/index.html

@@ -1647,6 +1647,7 @@ <h4 id="5-validate-data">5. Validate Data</h4>
 <p>And use the following code to view an HTML representation of the Validation results:</p>
 <div class="highlight"><pre><span></span><code><a id="__codelineno-7-1" name="__codelineno-7-1" href="#__codelineno-7-1"></a><span class="n">context</span><span class="o">.</span><span class="n">view_validation_result</span><span class="p">(</span><span class="n">checkpoint_result</span><span class="p">)</span>
 </code></pre></div>
+<p><img referrerpolicy="no-referrer-when-downgrade" src="https://static.scarf.sh/a.png?x-pxid=dd69a9f9-0901-4cb4-9e56-b1e69877dca1" /></p>
 
 
 

1.4/support/analytics/index.html

@@ -1586,6 +1586,7 @@ <h3 id="set-an-environment-variable">Set an Environment Variable</h3>
 <a id="__codelineno-0-2" name="__codelineno-0-2" href="#__codelineno-0-2"></a>
 <a id="__codelineno-0-3" name="__codelineno-0-3" href="#__codelineno-0-3"></a>    <span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s1">&#39;YDATA_SYNTHETIC_NO_ANALYTICS&#39;</span><span class="p">]</span><span class="o">=</span><span class="s1">&#39;True&#39;</span>
 </code></pre></div>
+<p><img referrerpolicy="no-referrer-when-downgrade" src="https://static.scarf.sh/a.png?x-pxid=dd69a9f9-0901-4cb4-9e56-b1e69877dca1" /></p>
 
 
 

1.4/support/contribute/index.html

@@ -1611,6 +1611,7 @@ <h3 id="pr-name-and-convention">PR name and convention</h3>
 <h3 id="issues-and-where-i-can-find-more-info-about-contributing">Issues and where I can find more info about contributing</h3>
 <p>If you need help figuring out where to start or want to learn what other contributors are doing, go to the <a href="https://discord.com/invite/mw7xjJ7b7s">Data-Centric AI community Discord</a> channel and introduce yourself in the #ydata-synthetic channel.</p>
 <p>If you can't find an issue that interests you and wants to add an improvement or change, create a new one. </p>
+<p><img referrerpolicy="no-referrer-when-downgrade" src="https://static.scarf.sh/a.png?x-pxid=dd69a9f9-0901-4cb4-9e56-b1e69877dca1" /></p>
 
 
 

1.4/support/help-troubleshooting/index.html

@@ -1543,6 +1543,7 @@ <h2 id="troubleshooting">Troubleshooting</h2>
 <h2 id="community-help">Community help</h2>
 <p>If you are just starting, or you are dealing with something new we are always eager to help! </p>
 <p>Join us in the <a href="https://discord.com/invite/mw7xjJ7b7s">Data-Centric AI community Discord</a>, we have a space reserved for all your questions about <strong>ydata-synthetic</strong>! Don't be shy 😳</p>
+<p><img referrerpolicy="no-referrer-when-downgrade" src="https://static.scarf.sh/a.png?x-pxid=dd69a9f9-0901-4cb4-9e56-b1e69877dca1" /></p>