Update app.py

app.py

@@ -35,14 +35,14 @@ def home_page():
     st.image("https://i.ytimg.com/vi/WULwst0vW8g/maxresdefault.jpg")
     
     st.write("""
-    The Income Prediction Challenge for Azubian is a machine learning project that aims to predict whether an individual's income falls above or below a specific income threshold. This information can be used to monitor income inequality and inform policy decisions.
+    This application is a machine learning project that aims to predict whether an individual's income falls above or below a specific income threshold. This information can be used to monitor income inequality and inform policy decisions.
     """)
 
     # The Problem of Income Inequality
     st.header("The Problem: Income Inequality 💸")
     st.write(
         """
-        Income inequality, a pervasive challenge that hinders economic progress and social well-being, demands innovative solutions. The "Income Prediction Challenge for Azubian" tackles this issue head-on, harnessing the power of machine learning to predict individual income levels.
+        Income inequality, a pervasive challenge that hinders economic progress and social well-being, demands innovative solutions. This app tackles this issue head-on, harnessing the power of machine learning to predict individual income levels.
 
         **Key Challenges of Income Inequality:** ⚠
 
@@ -81,7 +81,7 @@ def solution():
     st.header("Solution 💡: Combating Income Inequality with Data-Driven Solutions 📈 ")
     st.write("""
 
-        The "Income Prediction Challenge for Azubian" utilizes machine learning to predict individual income levels, providing valuable data to policymakers for informed action. This data-driven approach offers several advantages:
+        The app utilizes machine learning to predict individual income levels, providing valuable data to policymakers for informed action. This data-driven approach offers several advantages:
 
         * **Cost-Effectiveness:** 💰