Update app.py

app.py

@@ -80,10 +80,10 @@ 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")
+st.write("Get analysis and engage in insightful conversations with your data through our powerful AI")
 
 with st.sidebar:
-    st.title("Intervention Analytics")
+    st.subheader("Intervention Analytics")
     st.sidebar.image("logoqb.jpeg", use_column_width=True)
     tabs = on_hover_tabs(tabName=['Chat', 'Reports'], iconName=['chat', 'dashboard'], default_choice=0)
 
@@ -97,24 +97,24 @@ col1_full, col2_full = st.columns(2)
 
 with col1_full:
     fig_gender_full = px.histogram(df_full, x="Gender", title="Overall Gender Distribution")
-    fig_gender_full.update_layout(height=200, width=300)
+    fig_gender_full.update_layout(height=200, width=200)
     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=200, width=300)
+    fig_youth_full.update_layout(height=300, width=200)
     st.plotly_chart(fig_youth_full)
 
     fig_company_full = px.histogram(df_full, x="Company Name", title="Overall Company Distribution")
-    fig_company_full.update_layout(height=200, width=300)
+    fig_company_full.update_layout(height=300, width=200)
     st.plotly_chart(fig_company_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=200, width=300)
+    fig_category_full.update_layout(height=300, width=200)
     st.plotly_chart(fig_category_full)
 
     fig_intervention_full = px.histogram(df_full, y="Intervention", title="Overall Intervention Type Distribution")
-    fig_intervention_full.update_layout(height=200, width=300)
+    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')