Update app.py

app.py

@@ -139,13 +139,14 @@ 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. ⚖️
     """)
 
+import streamlit as st
 
 def perform_eda():
-    st.title("Exploratory Data Analysis")
+    st.title("Data Insights and Recommendations")
     st.write("""
-        📊📈 Welcome to the Exploratory Data Analysis for the "Income Prediction" Project! 📈📊
-        Gain a comprehensive understanding of income distribution and explore the factors that contribute to an individual's income level based on the census data that was used to build this prediction tool.
-        Dive into the wealth of data and uncover insights about income prediction. Explore the data and understand the factors that contribute to an individual's income level. Let's begin our data-driven journey! 💰🔍
+        📊📈 Welcome to the Exploratory Data Analysis for the Income Prediction Project! 📈📊
+        Gain a comprehensive understanding of income distribution and explore the factors contributing to an individual's income level based on the census data used to build this prediction tool.
+        Dive into the wealth of data and uncover insights about income prediction. Explore the data and understand the factors contributing to an individual's income level. Let's begin our data-driven journey! 💰🔍
         """)
 
     # Show the Power BI dashboard
@@ -161,7 +162,16 @@ def display_insights_and_recommendations():
     From the dashboard, you can now appreciate the serious income inequality problem. Explore key insights and actionable recommendations for stakeholders to fight income inequality.
     """)
 
+    # Add a screenshot of the Power BI dashboard
+    st.subheader("Exploring Income Data")
+    st.write("Let's dive deeper into the data to understand income distribution and relationships between variables.")
+    st.image("path_to_your_screenshot_image.png", 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).")
+
     # Table with insights and recommendations
+    st.subheader("Insights and Recommendations")
     st.table([
         ["🎓 Higher education levels positively correlate with higher income.", "Invest in accessible and quality education, including scholarships and vocational training, for lower-income communities."],
         ["👩‍🎓 Women are more likely below the income threshold than men.", "Support gender equality programs addressing wage disparities and encouraging women in STEM fields."],
@@ -173,40 +183,19 @@ 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."]
     ])
 
-# Define the Power BI display
 def power_bi():
     """
-    Embeds the Power BI report with specified dimensions and full-screen height.
+    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.")
 
-    # Embed the Power BI iframe with specified dimensions
-    power_bi_html = """
-    <iframe title="Report Section" width="600" height="373.5" src="https://app.powerbi.com/view?r=eyJrIjoiZDNjMmExZjYtMWU2NS00NTBjLTk4Y2EtYmQ2MWU2OWMwODMyIiwidCI6IjQ0ODdiNTJmLWYxMTgtNDgzMC1iNDlkLTNjMjk4Y2I3MTA3NSJ9" frameborder="0" allowFullScreen="true"></iframe>
-    """
-
-    st.components.v1.html(power_bi_html)
-
-    # Ensure full-screen height using CSS
-    with st.empty():
-        st.write("""
-        <style>
-            html, body {
-              height: 100%;
-              margin: 0;
-              padding: 0;
-            }
-
-            iframe {
-              width: 100%;
-              height: 100vh;
-            }
-        </style>
-        """, unsafe_allow_html=True)
-
+    # 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():