Update app.py

app.py

@@ -225,8 +225,24 @@ def neural_networks():
 
 
   # Call the function to display the image
+st.markdown("<h1 style='text-align: center; color: orange;'>Machine Learning (ML)</h1>", unsafe_allow_html=True)
+st.markdown(generate_ml_blog())
+
+# Define a dictionary to map page names to functions
+pages = {
+    "Introduction": introduction_to_ml,
+    "Supervised Learning": supervised_learning,
+    "Unsupervised Learning": unsupervised_learning,
+    "Reinforcement Learning": reinforcement_learning,
+    "Linear Regression": linear_regression,
+    "Logistic Regression": logistic_regression,
+    "Decision Trees": decision_trees,
+    "K-Nearest Neighbors (KNN)": knn,
+    "Support Vector Machines (SVM)": svm,
+    "Neural Networks": neural_networks
+}
 
-# Display interactive elements if needed
+# Sidebar for content navigation
 st.sidebar.header("📚 Contents")
 st.sidebar.markdown("""
 - 🔍 [Introduction](#Introduction-to-Machine-Learning-ML)
@@ -243,41 +259,15 @@ st.sidebar.markdown("""
     - 🧠 [Neural Networks](#Neural-Networks)
 """)
 
-# Display content based on the sidebar selection
+# Main content area
 st.markdown("<h1 style='text-align: center; color: orange;'>Machine Learning (ML)</h1>", unsafe_allow_html=True)
 st.markdown(generate_ml_blog())
-page = st.sidebar.radio("Select Section", [
-    "Introduction",
-    "Supervised Learning",
-    "Unsupervised Learning",
-    "Reinforcement Learning",
-    "Linear Regression",
-    "Logistic Regression",
-    "Decision Trees",
-    "K-Nearest Neighbors (KNN)",
-    "Support Vector Machines (SVM)",
-    "Neural Networks"
-])
-if st.sidebar.radio == "Introduction":
-     st.markdown("<h1 style='text-align: center; color: orange;'>Machine Learning (ML)</h1>", unsafe_allow_html=True)
-     st.markdown("<h2 style='text-align: center; color: orange;'>Introduction</h2>", unsafe_allow_html=True)
-     st.markdown(introduction_to_ml())
-elif st.sidebar.radio == "Supervised Learning":
-    st.markdown(supervised_learning())
-elif st.sidebar.radio == "Unsupervised Learning":
-    st.markdown(unsupervised_learning())
-elif st.sidebar.radio == "Reinforcement Learning":
-    st.markdown(reinforcement_learning())
-elif st.sidebar.radio == "Linear Regression":
-    st.markdown(linear_regression())
-elif st.sidebar.radio == "Logistic Regression":
-    st.markdown(logistic_regression())
-elif st.sidebar.radio == "Decision Trees":
-    st.markdown(decision_trees())
-elif st.sidebar.radio == "K-Nearest Neighbors (KNN)":
-    st.markdown(knn())
-elif st.sidebar.radio == "Support Vector Machines (SVM)":
-    st.markdown(svm())
-elif st.sidebar.radio == "Neural Networks":
-    st.markdown(neural_networks())
+
+# Sidebar radio button to select the page
+selected_page = st.sidebar.radio("Select Section", list(pages.keys()))
+
+# Display the content based on the selected page
+st.markdown(f"<h2 style='text-align: center; color: orange;'>{selected_page}</h2>", unsafe_allow_html=True)
+content_function = pages[selected_page]  # Get the corresponding function
+st.markdown(content_function())