delete unncessary files

Author: khuyentran1401

docs/Chapter5/visualization.html

@@ -1524,7 +1524,7 @@ <h2><span class="section-number">6.10.19. </span>Lux: A Python API for Intellige
 </div>
 </div>
 </div>
-<p><img alt="" src="../_images/lux.gif" /></p>
+<p><img alt="" src="img/lux.gif" /></p>
 <p><a class="reference external" href="https://github.com/lux-org/lux">Link to Lux</a>.</p>
 </section>
 <section id="add-statistical-significance-annotations-on-seaborn-plots">
@@ -1843,7 +1843,7 @@ <h2><span class="section-number">6.10.24. </span>gif: The Easiest Way to Animate
 </div>
 </div>
 </div>
-<p><img alt="" src="../_images/matplotlib_gif.gif" /></p>
+<p><img alt="" src="img/matplotlib_gif.gif" /></p>
 <p><a class="reference external" href="https://github.com/maxhumber/gif">Link to gif</a>.</p>
 </section>
 <section id="visualize-the-frequency-tokens-in-a-text-corpora">

docs/Chapter6/better_outputs.html

@@ -910,7 +910,7 @@ <h2><span class="section-number">7.6.7. </span>From Python to Paper: Visualizing
 <h2><span class="section-number">7.6.8. </span>ManimML: Create Animations of Common ML Concepts in Python<a class="headerlink" href="#manimml-create-animations-of-common-ml-concepts-in-python" title="Permalink to this heading">#</a></h2>
 <p>If you want to create animations and visualizations for common ML concepts in Python, try ManimML.</p>
 <p>The GIF below is the visualization of Variational Autoencoder made by ManimML.</p>
-<p><img alt="" src="../_images/VAEScene.gif" /></p>
+<p><img alt="" src="img/VAEScene.gif" /></p>
 <p><a class="reference external" href="https://github.com/helblazer811/ManimML">Link to ManimML</a>.</p>
 <p>ManimML is built on top of <a class="reference external" href="https://towardsdatascience.com/how-to-create-mathematical-animations-like-3blue1brown-using-python-f571fb9da3d1?sk=67f831edb7de3560020c2ea0296447cf">Manim</a>.</p>
 </section>

docs/Chapter6/git_github.html

@@ -631,7 +631,7 @@ <h2><span class="section-number">7.7.7. </span>git-open: Open a GitHub Page for
 <h2><span class="section-number">7.7.8. </span>gpt-commit-summarizer: Automate Pull Request Summarization<a class="headerlink" href="#gpt-commit-summarizer-automate-pull-request-summarization" title="Permalink to this heading">#</a></h2>
 <p>gpt-commit-summarizer is a GitHub Action that leverages the power of GPT to summarize the changes made in a pull request.</p>
 <p>This eliminates the need for manual summarization, saving you valuable time, especially when dealing with numerous changes within a commit.</p>
-<p><img alt="" src="../_images/gpt-commit.gif" /></p>
+<p><img alt="" src="img/gpt-commit.gif" /></p>
 <p>To use gpt-commit-summarizer, simply add the the following workflow file to your repository:</p>
 <div class="highlight-yaml notranslate"><div class="highlight"><pre><span></span><span class="nt">name</span><span class="p">:</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">GPT Commits summarizer</span>
 <span class="c1"># Summary: This action will write a comment about every commit in a pull request, as well as generate a summary for every file that was modified and add it to the review page, compile a PR summary from all commit summaries and file diff summaries, and delete outdated code review comments</span>