Update app.py

app.py

@@ -75,7 +75,7 @@ def solution():
     st.image("https://d2gg9evh47fn9z.cloudfront.net/1600px_COLOURBOX15103453.jpg")
 
     # Solution Overview
-    st.header("Solution 💡: Combating Income Inequality with Data-Driven Solutions 📈 ")
+    st.header("Solution 💡: Combating Income Inequality with Data-Driven Solutions 📈")
     st.write("""
 
         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:
@@ -115,7 +115,7 @@ def solution():
     **Model Evaluation:**
     * Performance assessed using metrics like accuracy, precision, recall, and F1 score 📈📊
     
-    * Metrics evaluate the model's ability to correctly classify individual income levels ☑️
+    * Metrics evaluate the model's ability to classify individual income levels correctly ☑️
     """)
 
     # Impact and Benefits
@@ -139,7 +139,6 @@ def solution():
     Overall, this tool has the potential to make a meaningful contribution to the fight against income inequality and promote a more just and equitable society. ⚖️
     """)
 
-
 def perform_eda():
     st.title("Data Insights and Recommendations")
     st.write("""