Reemplazar use_column_width por use_container_width para eliminar advertencia de obsolescencia

streamlit_app.py

@@ -2408,7 +2408,7 @@ def main():
                                                   cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 255, 0), 2)
                                     
                                     # Mostrar resultado
-                                    st.image(result_img, channels="BGR", caption="Detected faces", use_column_width=True)
+                                    st.image(result_img, channels="BGR", caption="Detected faces", use_container_width=True)
                                     
                                     if len(bboxes) > 0:
                                         # Si hay rostros registrados, intentar reconocerlos
@@ -2468,7 +2468,7 @@ def main():
                                                     cv2.putText(result_with_names, label, (x1, y1-10), 
                                                               cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 255, 0), 2)
                                                 
-                                                st.image(result_with_names, channels="BGR", caption="Recognized faces", use_column_width=True)
+                                                st.image(result_with_names, channels="BGR", caption="Recognized faces", use_container_width=True)
                                                 
                                                 # Mostrar tabla de resultados
                                                 results_df = pd.DataFrame([
@@ -2531,7 +2531,7 @@ def main():
                         cv2.ellipse(demo_img, (320, 260), (50, 30), 0, 0, 180, (255, 255, 255), -1)
                     
                     # Mostrar la imagen
-                    st.image(demo_img, channels="BGR", caption="Demo Mode", use_column_width=True)
+                    st.image(demo_img, channels="BGR", caption="Demo Mode", use_container_width=True)
                     
                     # Simular métricas
                     faces_metric.metric("Faces detected", 1)
@@ -2561,7 +2561,7 @@ def main():
                                        cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 255, 0), 2)
                         
                         # Mostrar resultado
-                        st.image(result_img, channels="BGR", caption="Detected faces", use_column_width=True)
+                        st.image(result_img, channels="BGR", caption="Detected faces", use_container_width=True)
                         
                         # Actualizar métricas
                         faces_metric.metric("Faces detected", len(bboxes))