Update app.py

app.py

@@ -81,16 +81,40 @@ def generateResponse(dataFrame,prompt):
 st.write("# Intervention Analytics")
 st.markdown('<style>' + open('./style.css').read() + '</style>', unsafe_allow_html=True)
 st.write("##### Get analysis and engage in insightful conversations with your data through our powerful AI")
+
 with st.sidebar:
     st.title("Intervention Analytics")
     st.sidebar.image("logoqb.jpeg", use_column_width=True)
-    tabs = on_hover_tabs(tabName=['Reports', 'Chat'], 
-                         iconName=['dashboard', 'chat'], default_choice=0)
-        
-
+    tabs = on_hover_tabs(tabName=['Reports', 'Chat'], iconName=['dashboard', 'chat'], default_choice=0)
 
 uploaded_file = "Intervention.csv"
-#uploaded_file = "healthcare_dataset.csv"
+
+# --- Visualizations of the whole data ---
+df_full = pd.read_csv(uploaded_file)  # Load the full data *once*
+st.subheader("Overall Data Visualizations")
+
+col1_full, col2_full = st.columns(2)
+
+with col1_full:
+    fig_gender_full = px.histogram(df_full, x="Gender", title="Overall Gender Distribution")
+    st.plotly_chart(fig_gender_full)
+
+    fig_youth_full = px.histogram(df_full, x="Youth", title="Overall Youth Participation")
+    st.plotly_chart(fig_youth_full)
+
+    fig_company_full = px.histogram(df_full, x="Company Name", title="Overall Company Distribution")
+    st.plotly_chart(fig_company_full)
+
+with col2_full:
+    fig_category_full = px.histogram(df_full, x="Intervention_Category", title="Overall Intervention Category Distribution")
+    st.plotly_chart(fig_category_full)
+
+    fig_intervention_full = px.histogram(df_full, x="Intervention", title="Overall Intervention Type Distribution")
+    st.plotly_chart(fig_intervention_full)
+
+    fig_pie_category = px.pie(df_full, names='Intervention_Category', title='Overall Intervention Category Pie Chart')
+    st.plotly_chart(fig_pie_category)
+
 
 
 if tabs == 'Reports':