Update modules/ui.py

modules/ui.py

@@ -304,21 +304,24 @@ def display_semantic_analysis_interface(nlp_models, lang_code):
             'file_uploader': "Cargar archivo de texto",
             'analyze_button': "Analizar texto",
             'context_analysis': "Análisis de Contexto",
-            'semantic_relations': "Análisis de Relaciones Semánticas",
+            'semantic_relations': "Relaciones Semánticas Relevantes",
+            'entities_list': "Lista de Entidades",  # Nueva etiqueta
         },
         'en': {
             'title': "AIdeaText - Semantic Analysis",
             'file_uploader': "Upload text file",
             'analyze_button': "Analyze text",
             'context_analysis': "Context Analysis",
-            'semantic_relations': "Semantic Relations Analysis",
+            'semantic_relations': "Relevant Semantic Relations",
+            'entities_list': "Entities List",  # Nueva etiqueta
         },
         'fr': {
             'title': "AIdeaText - Analyse sémantique",
             'file_uploader': "Télécharger le fichier texte",
             'analyze_button': "Analyser le texte",
             'context_analysis': "Analyse de Contexte",
-            'semantic_relations': "Analyse des Relations Sémantiques",
+            'semantic_relations': "Relations Sémantiques Pertinentes",
+            'entities_list': "Liste des Entités",  # Nueva etiqueta
         }
     }
 
@@ -332,24 +335,23 @@ def display_semantic_analysis_interface(nlp_models, lang_code):
         text_content = uploaded_file.getvalue().decode('utf-8')
 
         if st.button(t['analyze_button']):
-            if text_content:
-                context_graph, relations_graph, entities = perform_semantic_analysis(text_content, nlp_models[lang_code], lang_code)
-    
-                col1, col2 = st.columns([1, 3])
-    
-                with col1:
-                    st.subheader(t['entities_list'])
-                    for category, items in entities.items():
-                        st.write(f"**{category}:**")
-                        for item in items:
-                            st.write(f"- {item}")
-    
-                with col2:
-                    with st.expander(t['context_analysis'], expanded=True):
-                        st.pyplot(context_graph)
-    
-                    with st.expander(t['semantic_relations'], expanded=True):
-                        st.pyplot(relations_graph)
+            context_graph, relations_graph, entities = perform_semantic_analysis(text_content, nlp_models[lang_code], lang_code)
+
+            col1, col2 = st.columns([1, 3])
+
+            with col1:
+                st.subheader(t['entities_list'])
+                for category, items in entities.items():
+                    st.write(f"**{category}:**")
+                    for item in items:
+                        st.write(f"- {item}")
+
+            with col2:
+                with st.expander(t['context_analysis'], expanded=True):
+                    st.pyplot(context_graph)
+
+                with st.expander(t['semantic_relations'], expanded=True):
+                    st.pyplot(relations_graph)
 
 ##################################################################################################
 def get_chatbot_response(input_text):