Update app.py

app.py

@@ -39,13 +39,20 @@ st.markdown('<h2 style="text-align: center;"><span style="color:red;">Introducti
 st.markdown('<h3 style="text-align: left; color:red;">What is Artificial Intelligence (AI)?</h3>', unsafe_allow_html=True)
 st.write("""
 Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think, learn, and make decisions like humans. 
-In simple terms, it's when machines mimic or copy natural intelligence (performing day-to-day tasks).
+In simple terms, when machines mimic/copy natural intelligence i.e.(performing day-to-day tasks).
 
 It includes two main capabilities:
 - **Learning Ability** (achieved using Machine Learning (ML) and Deep Learning (DL))
 - **Generating Ability** (achieved using Generative AI)
 """)
 
+# Section: Generative AI
+st.markdown('<h3 style="text-align: left; color:red;">What is Generative AI?</h3>', unsafe_allow_html=True)
+st.write("""
+Generative AI is a tool which is used to mimic/copy the generating ability and provide this ability to machines. It is a type of artificial intelligence that creates new contents like text, images, music, or videos, by learning patterns from existing data.
+""")
+
+
 # Section: Data Science
 st.markdown('<h3 style="text-align: left; color:red;">What is Data Science?</h3>', unsafe_allow_html=True)
 st.write("""
@@ -56,7 +63,7 @@ It involves techniques and algorithms, including Machine Learning and Deep Learn
 # Section: Machine Learning
 st.markdown('<h3 style="text-align: left; color:red;">Machine Learning</h3>', unsafe_allow_html=True)
 st.write("""
-Machine Learning uses statistical concepts to give machines the ability to learn from data.
+Machine Learning uses statistical concepts to give machines the ability to learn from data.It is a tool used to mimic/copy the learning ability
 
 The relationship between input and output can be expressed as a function:
 """)
@@ -64,8 +71,8 @@ st.latex(r"f(x_i) = y_i")
 
 st.write("""
 For machines to learn this function, they need two things:
-- **Data**
-- **Algorithms**
+- **Data** (data contains x and y where x are feature variables and y is class variable)
+- **Algorithms** (used to capture the relationships between x and y)
 
 Machine Learning can be categorized into:
 1. Supervised Learning  
@@ -94,5 +101,5 @@ st.markdown(
 st.markdown("<br><br>", unsafe_allow_html=True)
 
 # Navigation button (optional if you have multi-page setup)
-if st.button("Go to Page 1"):
+if st.button("Next Page"):
     st.switch_page("pages/player stats.py")