add fastapi for ml

Author: khuyentran1401

Chapter5/machine_learning.ipynb

@@ -2827,6 +2827,14 @@
     "[Learn more about MLFlow Models](https://bit.ly/46y6gpF)."
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "e997b6cc",
+   "metadata": {},
+   "source": [
+    "### Simplifying ML Model Integration with FastAPI"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,

docs/Chapter5/machine_learning.html

@@ -532,6 +532,7 @@ <h2> Contents </h2>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#rapid-prototyping-and-comparison-of-basic-models-with-lazy-predict">6.5.17. Rapid Prototyping and Comparison of Basic Models with Lazy Predict</a></li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#autogluon-fast-and-accurate-ml-in-3-lines-of-code">6.5.18. AutoGluon: Fast and Accurate ML in 3 Lines of Code</a></li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#model-logging-made-easy-mlflow-vs-pickle">6.5.19. Model Logging Made Easy: MLflow vs. Pickle</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#simplifying-ml-model-integration-with-fastapi">6.5.20. Simplifying ML Model Integration with FastAPI</a></li>
 </ul>
             </nav>
         </div>
@@ -2166,6 +2167,9 @@ <h2><span class="section-number">6.5.19. </span>Model Logging Made Easy: MLflow
 </div>
 </div>
 <p><a class="reference external" href="https://bit.ly/46y6gpF">Learn more about MLFlow Models</a>.</p>
+</section>
+<section id="simplifying-ml-model-integration-with-fastapi">
+<h2><span class="section-number">6.5.20. </span>Simplifying ML Model Integration with FastAPI<a class="headerlink" href="#simplifying-ml-model-integration-with-fastapi" title="Permalink to this heading">#</a></h2>
 <div class="cell tag_hide-cell docutils container">
 <details class="hide above-input">
 <summary aria-label="Toggle hidden content">
@@ -2393,6 +2397,7 @@ <h2><span class="section-number">6.5.19. </span>Model Logging Made Easy: MLflow
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#rapid-prototyping-and-comparison-of-basic-models-with-lazy-predict">6.5.17. Rapid Prototyping and Comparison of Basic Models with Lazy Predict</a></li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#autogluon-fast-and-accurate-ml-in-3-lines-of-code">6.5.18. AutoGluon: Fast and Accurate ML in 3 Lines of Code</a></li>
 <li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#model-logging-made-easy-mlflow-vs-pickle">6.5.19. Model Logging Made Easy: MLflow vs. Pickle</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#simplifying-ml-model-integration-with-fastapi">6.5.20. Simplifying ML Model Integration with FastAPI</a></li>
 </ul>
   </nav></div>
 

docs/_sources/Chapter5/machine_learning.ipynb

@@ -2827,6 +2827,14 @@
     "[Learn more about MLFlow Models](https://bit.ly/46y6gpF)."
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "e997b6cc",
+   "metadata": {},
+   "source": [
+    "### Simplifying ML Model Integration with FastAPI"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,