Update app.py

app.py

@@ -93,35 +93,37 @@ uploaded_file = "Intervention.csv"
 df_full = pd.read_csv(uploaded_file)  # Load the full data *once*
 st.write("Overall Data Visualizations")
 
-col1_full, col2_full = st.columns([0.9, 0.9])
 
-with col1_full:
-    fig_gender_full = px.histogram(df_full, x="Gender", title="Overall Gender Distribution")
-    fig_gender_full.update_layout(height=350, width=350)
-    st.plotly_chart(fig_gender_full)
 
-    fig_youth_full = px.histogram(df_full, x="Youth", title="Overall Youth Participation")
-    fig_youth_full.update_layout(height=350, width=300)
-    st.plotly_chart(fig_youth_full)
+if tabs =='Chat':
+    col1_full, col2_full = st.columns([0.9, 0.9])
 
-    fig_company_full = px.histogram(df_full, y="Company Name", title="Overall Company Distribution")
-    fig_company_full.update_layout(height=300, width=300)
-    st.plotly_chart(fig_company_full)
+    with col1_full:
+        fig_gender_full = px.histogram(df_full, x="Gender", title="Overall Gender Distribution")
+        fig_gender_full.update_layout(height=350, width=350)
+        st.plotly_chart(fig_gender_full)
 
-with col2_full:
-    fig_category_full = px.histogram(df_full, y="Intervention_Category", title="Overall Intervention Category Distribution")
-    fig_category_full.update_layout(height=300, width=200)
-    st.plotly_chart(fig_category_full)
+        fig_youth_full = px.histogram(df_full, x="Youth", title="Overall Youth Participation")
+        fig_youth_full.update_layout(height=350, width=300)
+        st.plotly_chart(fig_youth_full)
 
-    fig_intervention_full = px.histogram(df_full, y="Intervention", title="Overall Intervention Type Distribution")
-    fig_intervention_full.update_layout(height=300, width=300)
-    st.plotly_chart(fig_intervention_full)
+        fig_company_full = px.histogram(df_full, y="Company Name", title="Overall Company Distribution")
+        fig_company_full.update_layout(height=300, width=300)
+        st.plotly_chart(fig_company_full)
 
-    fig_pie_category = px.pie(df_full, names='Intervention_Category', title='Overall Intervention Category Pie Chart')
-    fig_pie_category.update_layout(height=400, width=500)
-    st.plotly_chart(fig_pie_category)
+    with col2_full:
+        fig_category_full = px.histogram(df_full, y="Intervention_Category", title="Overall Intervention Category Distribution")
+        fig_category_full.update_layout(height=300, width=200)
+        st.plotly_chart(fig_category_full)
 
-if tabs =='Chat':
+        fig_intervention_full = px.histogram(df_full, y="Intervention", title="Overall Intervention Type Distribution")
+        fig_intervention_full.update_layout(height=300, width=300)
+        st.plotly_chart(fig_intervention_full)
+
+        fig_pie_category = px.pie(df_full, names='Intervention_Category', title='Overall Intervention Category Pie Chart')
+        fig_pie_category.update_layout(height=400, width=500)
+        st.plotly_chart(fig_pie_category)
+        
     df = pd.read_csv(uploaded_file)
     st.subheader("Chat with AI")
     st.write("Get visualizations and analysis from our Gemini powered agent")