Update app.py

app.py

@@ -115,36 +115,31 @@ if tabs == 'Chat':
     col1, col2 = st.columns([1, 1])  # Half and half split
 
     with col1:  # Visualizations on the left
-        st.set_option('deprecation.showPyplotGlobalUse', False) # Suppress warning
-        row1_col1, row1_col2 = st.columns([1, 1])  # 2 visualizations per row
-        with row1_col1:
-            fig_gender = px.histogram(df, x="Gender", title="Gender Distribution")
-            fig_gender.update_layout(height=400, width=None)  # Responsive width
-            st.plotly_chart(fig_gender)
-        with row1_col2:
-            fig_youth = px.histogram(df, x="Youth", title="Youth Participation")
-            fig_youth.update_layout(height=400, width=None)  # Responsive width
-            st.plotly_chart(fig_youth)
-
-        row2_col1, row2_col2 = st.columns([1, 1])
-        with row2_col1:
-            fig_company = px.histogram(df, y="Company Name", title="Company Distribution")
-            fig_company.update_layout(height=400, width=None)  # Responsive width
-            st.plotly_chart(fig_company)
-        with row2_col2:
-            fig_category = px.histogram(df, y="Intervention_Category", title="Intervention Category Distribution")
-            fig_category.update_layout(height=400, width=None)  # Responsive width
-            st.plotly_chart(fig_category)
-
-        row3_col1, row3_col2 = st.columns([1, 1])
-        with row3_col1:
-            fig_intervention = px.histogram(df, y="Intervention", title="Intervention Type Distribution")
-            fig_intervention.update_layout(height=400, width=None)  # Responsive width
-            st.plotly_chart(fig_intervention)
-        with row3_col2:
-            fig_pie_category = px.pie(df, names='Intervention_Category', title='Intervention Category Pie Chart')
-            fig_pie_category.update_layout(height=400, width=None)  # Responsive width
-            st.plotly_chart(fig_pie_category)
+        st.set_option('deprecation.showPyplotGlobalUse', False)  # Suppress warning
+
+        fig_gender = px.histogram(df, x="Gender", title="Gender Distribution")
+        fig_gender.update_layout(height=400, width=None)  # Responsive width
+        st.plotly_chart(fig_gender)
+
+        fig_youth = px.histogram(df, x="Youth", title="Youth Participation")
+        fig_youth.update_layout(height=400, width=None)  # Responsive width
+        st.plotly_chart(fig_youth)
+
+        fig_company = px.histogram(df, y="Company Name", title="Company Distribution")
+        fig_company.update_layout(height=400, width=None)  # Responsive width
+        st.plotly_chart(fig_company)
+
+        fig_category = px.histogram(df, y="Intervention_Category", title="Intervention Category Distribution")
+        fig_category.update_layout(height=400, width=None)  # Responsive width
+        st.plotly_chart(fig_category)
+
+        fig_intervention = px.histogram(df, y="Intervention", title="Intervention Type Distribution")
+        fig_intervention.update_layout(height=400, width=None)  # Responsive width
+        st.plotly_chart(fig_intervention)
+
+        fig_pie_category = px.pie(df, names='Intervention_Category', title='Intervention Category Pie Chart')
+        fig_pie_category.update_layout(height=400, width=None)  # Responsive width
+        st.plotly_chart(fig_pie_category)
 
 
     with col2:  # Chat on the right