Update modules/ui/ui.py

modules/ui/ui.py

@@ -232,6 +232,7 @@ def register_form():
                 logger.error(f"Failed to store application request for {email}")
 
 
+################################################################################
 def is_institutional_email(email):
     forbidden_domains = ['gmail.com', 'hotmail.com', 'yahoo.com', 'outlook.com']
     return not any(domain in email.lower() for domain in forbidden_domains)
@@ -481,12 +482,6 @@ def display_morphosyntax_analysis_interface(nlp_models, lang_code):
             # Análisis morfosintáctico avanzado
             advanced_analysis = perform_advanced_morphosyntactic_analysis(current_input, nlp_models[lang_code])    
 
-            # Mostrar análisis de palabras repetidas (código existente)
-            word_colors = get_repeated_words_colors(doc)
-            with st.expander(t['repeated_words'], expanded=True):
-                highlighted_text = highlight_repeated_words(doc, word_colors)
-                st.markdown(highlighted_text, unsafe_allow_html=True)
-            
             # Mostrar leyenda (código existente)
             st.markdown(f"##### {t['legend']}")
             legend_html = "<div style='display: flex; flex-wrap: wrap;'>"
@@ -496,16 +491,12 @@ def display_morphosyntax_analysis_interface(nlp_models, lang_code):
             legend_html += "</div>"
             st.markdown(legend_html, unsafe_allow_html=True)
 
-            # Mostrar análisis de categorías gramaticales
-            with st.expander(t['pos_analysis'], expanded=True):
-                pos_df = pd.DataFrame(advanced_analysis['pos_analysis'])
-                st.dataframe(pos_df)
-
-            # Mostrar análisis morfológico
-            with st.expander(t['morphological_analysis'], expanded=True):
-                morph_df = pd.DataFrame(advanced_analysis['morphological_analysis'])
-                st.dataframe(morph_df)
-
+            # Mostrar análisis de palabras repetidas (código existente)
+            word_colors = get_repeated_words_colors(doc)
+            with st.expander(t['repeated_words'], expanded=True):
+                highlighted_text = highlight_repeated_words(doc, word_colors)
+                st.markdown(highlighted_text, unsafe_allow_html=True)
+            
             # Mostrar estructura de oraciones
             with st.expander(t['sentence_structure'], expanded=True):
                 for i, sent_analysis in enumerate(advanced_analysis['sentence_structure']):
@@ -514,6 +505,19 @@ def display_morphosyntax_analysis_interface(nlp_models, lang_code):
                     st.write(f"{t['subjects']}: {', '.join(sent_analysis['subjects'])}")
                     st.write(f"{t['objects']}: {', '.join(sent_analysis['objects'])}")
                     st.write(f"{t['verbs']}: {', '.join(sent_analysis['verbs'])}")
+                )
+                st.markdown(sentence_str)
+
+            # Mostrar análisis de categorías gramaticales # Mostrar análisis morfológico
+            col1, col2 =st.columns(2)
+            with col1:
+            with st.expander(t['pos_analysis'], expanded=True):
+                pos_df = pd.DataFrame(advanced_analysis['pos_analysis'])
+                st.dataframe(pos_df)
+            with col2:
+            with st.expander(t['morphological_analysis'], expanded=True):
+                morph_df = pd.DataFrame(advanced_analysis['morphological_analysis'])
+                st.dataframe(morph_df)
             
             # Mostrar diagramas de arco (código existente)
             with st.expander(t['arc_diagram'], expanded=True):