Update app.py

app.py

@@ -223,56 +223,51 @@ def neural_networks():
     '''
     return neural
 
+# Sidebar for content navigation
 # Sidebar for content navigation
 st.sidebar.header("📚 Contents")
 
-# Show Introduction first in the sidebar (Only display the Introduction option initially)
-intro_option = st.sidebar.radio("📚 Introduction", ["Introduction", "Select a Topic"], index=0)
+# Show Introduction first in the sidebar
+page = st.sidebar.radio("📚 Select a Topic", 
+                        ["Introduction", "Types of Machine Learning", "Popular Algorithms"])
 
-# Grouping the types of machine learning into one section (Only after Introduction is selected)
-if intro_option == "Introduction":
+# Conditional options based on sidebar selection
+if page == "Types of Machine Learning":
     types_of_ml = st.sidebar.radio("📊 Types of Machine Learning", 
                                    ["Supervised Learning", "Unsupervised Learning", "Reinforcement Learning"])
 else:
     types_of_ml = None
 
-# Grouping other topics under a separate section (Only after Introduction is selected)
-if intro_option == "Introduction":
+if page == "Popular Algorithms":
     popular_algorithms = st.sidebar.radio("🚀 Popular Algorithms", 
                                           ["Linear Regression", "Logistic Regression", "Decision Trees", 
                                            "K-Nearest Neighbors (KNN)", "Support Vector Machines (SVM)", "Neural Networks"])
 else:
     popular_algorithms = None
 
-# Mapping page functions to selection
-pages = {
-    "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
-}
-
 # Main content area
 st.markdown("<h1 style='text-align: center; color: orange;'>Machine Learning (ML)</h1>", unsafe_allow_html=True)
 
-# Show the Introduction content first (Only show if selected)
-if intro_option == "Introduction":
+# Display content based on the selected page
+if page == "Introduction":
     st.markdown(introduction_to_ml())
 
-# Show content based on the selected type of machine learning or algorithm from the sidebar
-if types_of_ml:
-    st.markdown(f"<h2 style='text-align: center; color: orange;'>{types_of_ml}</h2>", unsafe_allow_html=True)
-    content_function = pages.get(types_of_ml, None)
-    if content_function:
-        st.markdown(content_function())
-
-if popular_algorithms:
-    st.markdown(f"<h2 style='text-align: center; color: orange;'>{popular_algorithms}</h2>", unsafe_allow_html=True)
-    content_function = pages.get(popular_algorithms, None)
-    if content_function:
-        st.markdown(content_function())
+elif types_of_ml == "Supervised Learning":
+    st.markdown(supervised_learning())
+elif types_of_ml == "Unsupervised Learning":
+    st.markdown(unsupervised_learning())
+elif types_of_ml == "Reinforcement Learning":
+    st.markdown(reinforcement_learning())
+
+elif popular_algorithms == "Linear Regression":
+    st.markdown(linear_regression())
+elif popular_algorithms == "Logistic Regression":
+    st.markdown(logistic_regression())
+elif popular_algorithms == "Decision Trees":
+    st.markdown(decision_trees())
+elif popular_algorithms == "K-Nearest Neighbors (KNN)":
+    st.markdown(knn())
+elif popular_algorithms == "Support Vector Machines (SVM)":
+    st.markdown(svm())
+elif popular_algorithms == "Neural Networks":
+    st.markdown(neural_networks())