diff --git a/app.py b/app.py
index 36e1b6b..6f9c40d 100644
--- a/app.py
+++ b/app.py
@@ -459,7 +459,7 @@ else:
                     font_color='#E2E8F0',
                     legend=dict(orientation="h", y=-0.1)
                 )
-                st.plotly_chart(fig_donut, use_container_width=True)
+                st.plotly_chart(fig_donut, width="stretch")
                 
         with col_chart2:
             if not df_filtered.empty:
@@ -482,7 +482,7 @@ else:
                     xaxis=dict(gridcolor='#1E293B'),
                     yaxis=dict(gridcolor='#1E293B')
                 )
-                st.plotly_chart(fig_bar, use_container_width=True)
+                st.plotly_chart(fig_bar, width="stretch")
                 
     # Tab 2: Job Table
     with tabs[1]:
@@ -535,7 +535,7 @@ else:
             
             st.dataframe(
                 df_grid_display,
-                use_container_width=True,
+                width="stretch",
                 column_config={
                     "job_id": st.column_config.NumberColumn(format="%d"),
                     "duration_secs": st.column_config.NumberColumn(format="%d s"),
@@ -577,7 +577,7 @@ else:
                         "Status Atual": display_status
                     })
                     
-                st.dataframe(pd.DataFrame(failures_list), use_container_width=True, hide_index=True)
+                st.dataframe(pd.DataFrame(failures_list), width="stretch", hide_index=True)
                 
             with col_form:
                 st.markdown("#### Formulário de Mitigação")
@@ -665,7 +665,7 @@ else:
                 # List users and delete option
                 st.markdown("##### Usuários Cadastrados")
                 users_list = db.get_all_users()
-                st.dataframe(pd.DataFrame(users_list), use_container_width=True, hide_index=True)
+                st.dataframe(pd.DataFrame(users_list), width="stretch", hide_index=True)
                 
                 # Delete user selector
                 st.markdown("##### Excluir Usuário")