Update modules/morphosyntax/morphosyntax_interface.py

modules/morphosyntax/morphosyntax_interface.py

@@ -109,6 +109,8 @@ def display_morphosyntax_interface(lang_code, nlp_models, t):
     else:
         st.info(morpho_t.get('morpho_initial_message', 'Enter text to begin analysis'))       
 
+
+############################################################################################################
 def display_morphosyntax_results(result, lang_code, t):
     """
     Muestra los resultados del análisis morfosintáctico.
@@ -123,13 +125,12 @@ def display_morphosyntax_results(result, lang_code, t):
     if result is None:
         st.warning(morpho_t.get('no_results', 'No results available'))
         return
-    
 
     doc = result['doc']
     advanced_analysis = result['advanced_analysis']
     
-    # Mostrar leyenda (código existente)
-    st.markdown(f"##### {t['legend']}")
+    # Mostrar leyenda
+    st.markdown(f"##### {morpho_t.get('legend', 'Legend: Grammatical categories')}")
     legend_html = "<div style='display: flex; flex-wrap: wrap;'>"
     for pos, color in POS_COLORS.items():
         if pos in POS_TRANSLATIONS[lang_code]:
@@ -137,21 +138,21 @@ def display_morphosyntax_results(result, lang_code, t):
     legend_html += "</div>"
     st.markdown(legend_html, unsafe_allow_html=True)
 
-    # Mostrar análisis de palabras repetidas (código existente)
+    # Mostrar análisis de palabras repetidas
     word_colors = get_repeated_words_colors(doc)
-    with st.expander(t['repeated_words'], expanded=True):
+    with st.expander(morpho_t.get('repeated_words', '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):
+    with st.expander(morpho_t.get('sentence_structure', 'Sentence structure'), expanded=True):
         for i, sent_analysis in enumerate(advanced_analysis['sentence_structure']):
             sentence_str = (
-                f"**{t['sentence']} {i+1}** "
-                f"{t['root']}: {sent_analysis['root']} ({sent_analysis['root_pos']}) -- "
-                f"{t['subjects']}: {', '.join(sent_analysis['subjects'])} -- "
-                f"{t['objects']}: {', '.join(sent_analysis['objects'])} -- "
-                f"{t['verbs']}: {', '.join(sent_analysis['verbs'])}"
+                f"**{morpho_t.get('sentence', 'Sentence')} {i+1}** "
+                f"{morpho_t.get('root', 'Root')}: {sent_analysis['root']} ({sent_analysis['root_pos']}) -- "
+                f"{morpho_t.get('subjects', 'Subjects')}: {', '.join(sent_analysis['subjects'])} -- "
+                f"{morpho_t.get('objects', 'Objects')}: {', '.join(sent_analysis['objects'])} -- "
+                f"{morpho_t.get('verbs', 'Verbs')}: {', '.join(sent_analysis['verbs'])}"
             )
             st.markdown(sentence_str)