Update app.py

app.py

@@ -93,11 +93,10 @@ st.divider()
 analyzer_results = analyzer.analyze(text=input_text, entities = supported_entities, language="en",return_decision_process=True,)
 # Text Anonymizer
 engine = AnonymizerEngine()
-result = engine.anonymize(text=text_fr, analyzer_results=analyzer_results)
+result = engine.anonymize(text=input_text, analyzer_results=analyzer_results)
 
 # Restructuring anonymizer results
 anonymization_results =  {"anonymized": result.text,"found": [entity.to_dict() for entity in analyzer_results]}
-words = [{'word': text_fr[obj['start']:obj['end']], 'entity_type':obj['entity_type'], 'start':obj['start'], 'end':obj['end']} for obj in anonymization_results['found']]
 anonym = anonymization_results['anonymized']
 
 doc = nlp(input_text)