Update app.py

app.py

@@ -1,5 +1,16 @@
 import streamlit as st
 
+def generate_ml_blog():
+    # ML blog content with emojis
+    ml_content = """
+    ## What is Machine Learning (ML) :
+    🤖 **Machine Learning (ML)** is a branch of **Artificial Intelligence (AI)** that focuses on developing systems that can learn from and make decisions or predictions based on data. 📊 Instead of being explicitly programmed to perform specific tasks, machine learning algorithms use patterns and insights derived from data to improve their performance over time. 📈
+
+    At its core, **machine learning** enables computers to act autonomously in situations where explicit instructions are impractical or impossible, making it an essential technology in today’s data-driven world. 🌍
+    """
+   retun ml_content
+
+    
 def introduction_to_ml():
     introduction_blog = '''
     ## Introduction to Machine Learning (ML)
@@ -234,7 +245,7 @@ st.sidebar.markdown("""
 """)
 
 # Display content based on the sidebar selection
-
+st.markdown(generate_ml_blog())
 page = st.sidebar.radio("Select Section", [
     "Introduction",
     "Supervised Learning",
@@ -247,26 +258,26 @@ page = st.sidebar.radio("Select Section", [
     "Support Vector Machines (SVM)",
     "Neural Networks"
 ])
-if page == "Introduction":
+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 page == "Supervised Learning":
+elif st.sidebar.radio == "Supervised Learning":
     st.markdown(supervised_learning())
-elif page == "Unsupervised Learning":
+elif st.sidebar.radio == "Unsupervised Learning":
     st.markdown(unsupervised_learning())
-elif page == "Reinforcement Learning":
+elif st.sidebar.radio == "Reinforcement Learning":
     st.markdown(reinforcement_learning())
-elif page == "Linear Regression":
+elif st.sidebar.radio == "Linear Regression":
     st.markdown(linear_regression())
-elif page == "Logistic Regression":
+elif st.sidebar.radio == "Logistic Regression":
     st.markdown(logistic_regression())
-elif page == "Decision Trees":
+elif st.sidebar.radio == "Decision Trees":
     st.markdown(decision_trees())
-elif page == "K-Nearest Neighbors (KNN)":
+elif st.sidebar.radio == "K-Nearest Neighbors (KNN)":
     st.markdown(knn())
-elif page == "Support Vector Machines (SVM)":
+elif st.sidebar.radio == "Support Vector Machines (SVM)":
     st.markdown(svm())
-elif page == "Neural Networks":
+elif st.sidebar.radio == "Neural Networks":
     st.markdown(neural_networks())