Update modules/studentact/current_situation_interface.py

modules/studentact/current_situation_interface.py

@@ -37,19 +37,19 @@ def display_current_situation_interface(lang_code, nlp_models, t):
     """
     Interfaz simplificada con gráfico de radar para visualizar métricas.
     """
+    # Inicializar estados si no existen
+    if 'text_input' not in st.session_state:
+        st.session_state.text_input = ""
+    if 'show_results' not in st.session_state:
+        st.session_state.show_results = False
+    if 'current_doc' not in st.session_state:
+        st.session_state.current_doc = None
+    if 'current_metrics' not in st.session_state:
+        st.session_state.current_metrics = None
+
+    st.markdown("## Análisis Inicial de Escritura")
+    
     try:
-        # Inicializar estados si no existen
-        if 'text_input' not in st.session_state:
-            st.session_state.text_input = ""
-        if 'show_results' not in st.session_state:
-            st.session_state.show_results = False
-        if 'current_doc' not in st.session_state:
-            st.session_state.current_doc = None
-        if 'current_metrics' not in st.session_state:
-            st.session_state.current_metrics = None
-
-        st.markdown("## Análisis Inicial de Escritura")
-        
         # Container principal con dos columnas
         with st.container():
             input_col, results_col = st.columns([1,2])
@@ -105,13 +105,17 @@ def display_current_situation_interface(lang_code, nlp_models, t):
                 if st.session_state.show_results and st.session_state.current_metrics is not None:
                     display_results(st.session_state.current_metrics)
 
+    except Exception as e:
+        logger.error(f"Error en interfaz principal: {str(e)}")
+        st.error("Ocurrió un error al cargar la interfaz")
+
 def display_results(metrics):
     """
     Muestra los resultados del análisis: métricas y gráfico radar.
     """
     try:
         # Métricas en una fila con columnas uniformes
-        metric_cols = st.columns(4, gap="small", vertical_alignment="center", border=True)
+        metric_cols = st.columns(4, gap="small")
         
         metrics_config = [
             ("Vocabulario", metrics['vocabulary']['normalized_score'], "Riqueza y variedad del vocabulario"),