Update modules/studentact/student_activities_v2.py

modules/studentact/student_activities_v2.py

@@ -560,32 +560,25 @@ def display_discourse_activities(username: str, t: dict):
                 formatted_date = timestamp.strftime("%d/%m/%Y %H:%M:%S")
                 
                 with st.expander(f"{t.get('analysis_date', 'Fecha')}: {formatted_date}", expanded=False):
-                    # Mostrar textos analizados
-                    if 'text1' in analysis and 'text2' in analysis:
-                        col1, col2 = st.columns(2)
-                        with col1:
-                            st.markdown("**Texto 1:**")
-                            st.text_area("", value=analysis['text1'], height=100, disabled=True, key=f"text1_{analysis.get('_id', 'unknown')}")
-                        with col2:
-                            st.markdown("**Texto 2:**")
-                            st.text_area("", value=analysis['text2'], height=100, disabled=True, key=f"text2_{analysis.get('_id', 'unknown')}")
-                    
-                    # Mostrar conceptos clave si están disponibles
+                    # Mostrar conceptos clave en fila
                     if 'key_concepts1' in analysis and 'key_concepts2' in analysis:
                         st.markdown("### Conceptos clave")
-                        concept_col1, concept_col2 = st.columns(2)
                         
-                        with concept_col1:
-                            st.markdown("**Documento 1**")
-                            if analysis['key_concepts1']:
-                                concept_df1 = pd.DataFrame(analysis['key_concepts1'], columns=['Concepto', 'Frecuencia'])
-                                st.dataframe(concept_df1)
+                        # Documento 1
+                        st.markdown("**Documento 1**")
+                        if analysis['key_concepts1']:
+                            # Extraer solo los conceptos sin la frecuencia
+                            concepts1 = [concept for concept, _ in analysis['key_concepts1']]
+                            # Mostrar en formato de fila
+                            st.markdown(", ".join([f"**{concept}**" for concept in concepts1]))
                         
-                        with concept_col2:
-                            st.markdown("**Documento 2**")
-                            if analysis['key_concepts2']:
-                                concept_df2 = pd.DataFrame(analysis['key_concepts2'], columns=['Concepto', 'Frecuencia'])
-                                st.dataframe(concept_df2)
+                        # Documento 2
+                        st.markdown("**Documento 2**")
+                        if analysis['key_concepts2']:
+                            # Extraer solo los conceptos sin la frecuencia
+                            concepts2 = [concept for concept, _ in analysis['key_concepts2']]
+                            # Mostrar en formato de fila
+                            st.markdown(", ".join([f"**{concept}**" for concept in concepts2]))
                     
                     # Mostrar gráficos
                     st.markdown("### Visualización comparativa")
@@ -599,7 +592,9 @@ def display_discourse_activities(username: str, t: dict):
                             try:
                                 # Verificar que sea bytes
                                 if isinstance(analysis['graph1'], bytes):
-                                    st.image(analysis['graph1'], caption="Documento 1", use_column_width=True)
+                                    st.image(analysis['graph1'], 
+                                            caption="Documento 1", 
+                                            use_container_width=True)  # Usar use_container_width en lugar de use_column_width
                                     has_graphs = True
                                 else:
                                     logger.warning(f"graph1 no es bytes: {type(analysis['graph1'])}")
@@ -611,7 +606,9 @@ def display_discourse_activities(username: str, t: dict):
                             try:
                                 # Verificar que sea bytes
                                 if isinstance(analysis['graph2'], bytes):
-                                    st.image(analysis['graph2'], caption="Documento 2", use_column_width=True)
+                                    st.image(analysis['graph2'], 
+                                            caption="Documento 2", 
+                                            use_container_width=True)  # Usar use_container_width en lugar de use_column_width
                                     has_graphs = True
                                 else:
                                     logger.warning(f"graph2 no es bytes: {type(analysis['graph2'])}")
@@ -629,7 +626,6 @@ def display_discourse_activities(username: str, t: dict):
         logger.error(f"Error mostrando análisis del discurso: {str(e)}")
         st.error(t.get('error_discourse', 'Error al mostrar análisis comparado de textos'))
 
-
 #################################################################################   
 
 def display_discourse_comparison(analysis: dict, t: dict):