Update app.py

app.py

@@ -148,9 +148,6 @@ def perform_eda():
         Dive into the data to understand income patterns and key contributing factors. Let's start our data-driven journey! 💰🔍
         """)
 
-    # Show the Power BI dashboard
-    power_bi()
-
     # Add insights and recommendations button
     if st.button("Show Insights and Recommendations"):
         display_insights_and_recommendations()
@@ -167,7 +164,7 @@ def display_insights_and_recommendations():
     st.image("default.jpg", use_column_width=True)
 
     # Provide a link to the full Power BI dashboard
-    st.write("Explore the full Power BI dashboard [here](https://app.powerbi.com/view?r=eyJrIjoiZDNjMmExZjYtMWU2NS00NTBjLTk4Y2EtYmQ2MWU2OWMwODMyIiwidCI6IjQ0ODdiNTJmLWYxMTgtNDgzMC1iNDlkLTNjMjk4Y2I3MTA3NSJ9).")
+    st.write("Explore the interactive Power BI dashboard [here](https://app.powerbi.com/view?r=eyJrIjoiZDNjMmExZjYtMWU2NS00NTBjLTk4Y2EtYmQ2MWU2OWMwODMyIiwidCI6IjQ0ODdiNTJmLWYxMTgtNDgzMC1iNDlkLTNjMjk4Y2I3MTA3NSJ9).")
 
     # Table with insights and recommendations
     st.subheader("Insights and Recommendations")
@@ -182,20 +179,6 @@ def display_insights_and_recommendations():
         ["📊 Data-driven insights are crucial for addressing income inequality.", "Continue investing in data collection and analysis to inform evolving policies."]
     ])
 
-def power_bi():
-    """
-    Display a screenshot of the Power BI dashboard with a link to the full dashboard.
-    """
-
-    st.subheader("Exploring Income Data")
-    st.write("Let's dive deeper into the data to understand income distribution and relationships between variables.")
-
-    # Add a screenshot of the Power BI dashboard
-    st.image("default.jpg", use_column_width=True)
-
-    # Provide a link to the full Power BI dashboard
-    st.write("Explore the full Power BI dashboard [here](https://app.powerbi.com/view?r=eyJrIjoiZDNjMmExZjYtMWU2NS00NTBjLTk4Y2EtYmQ2MWU2OWMwODMyIiwidCI6IjQ0ODdiNTJmLWYxMTgtNDgzMC1iNDlkLTNjMjk4Y2I3MTA3NSJ9).")
-
 def prediction():
 
     # Load the saved model and unique values: