Update modules/studentact/current_situation_interface.py

modules/studentact/current_situation_interface.py

@@ -276,28 +276,28 @@ def display_diagnosis(metrics, text_type=None, lang_code='es', t=None):
         with metrics_col:
             metrics_config = [
                 {
-                    'label': t.get('vocabulary_label', "Vocabulario"),
+                    'label': labels['vocabulary'],
                     'key': 'vocabulary',
                     'value': metrics['vocabulary']['normalized_score'],
                     'help': t.get('vocabulary_help', "Riqueza y variedad del vocabulario"),
                     'thresholds': thresholds['vocabulary']
                 },
                 {
-                    'label': t.get('structure_label', "Estructura"),
+                    'label': labels['structure'],
                     'key': 'structure',
                     'value': metrics['structure']['normalized_score'],
                     'help': t.get('structure_help', "Organización y complejidad de oraciones"),
                     'thresholds': thresholds['structure']
                 },
                 {
-                    'label': t.get('cohesion_label', "Cohesión"),
+                    'label': labels['cohesion'],
                     'key': 'cohesion',
                     'value': metrics['cohesion']['normalized_score'],
                     'help': t.get('cohesion_help', "Conexión y fluidez entre ideas"),
                     'thresholds': thresholds['cohesion']
                 },
                 {
-                    'label': t.get('clarity_label', "Claridad"),
+                    'label': labels['clarity'],
                     'key': 'clarity',
                     'value': metrics['clarity']['normalized_score'],
                     'help': t.get('clarity_help', "Facilidad de comprensión del texto"),
@@ -309,16 +309,16 @@ def display_diagnosis(metrics, text_type=None, lang_code='es', t=None):
             for metric in metrics_config:
                 value = metric['value']
                 if value < metric['thresholds']['min']:
-                    status = t.get('metric_improvement', "⚠️ Por mejorar")
+                    status = labels['improvement']
                     color = "inverse"
                 elif value < metric['thresholds']['target']:
-                    status = t.get('metric_acceptable', "📈 Aceptable")
+                    status = labels['acceptable']
                     color = "off"
                 else:
-                    status = t.get('metric_optimal', "✅ Óptimo")
+                    status = labels['optimal']
                     color = "normal"
                 
-                target_text = t.get('metric_target', "Meta: {:.2f}").format(metric['thresholds']['target'])
+                target_text = labels['target'].format(metric['thresholds']['target'])
                 
                 st.metric(
                     metric['label'],