Update app.py

app.py

@@ -105,7 +105,11 @@ def moderate_text(user_text):
     toxic_classification = "Blocked" if toxic_result[0]['label'] == 'LABEL_1' else "Allowed"  # Toxic BERT classifies as "LABEL_1" for toxic
     toxic_severity = toxic_result[0]['score']
 
-    return openai_moderation_result, anthropic_moderation_result, azure_moderation_result, f"Toxic BERT classification: {toxic_classification}, Severity: {toxic_severity}"
+    # Explanation of severity score
+    toxic_explanation = f"Toxic BERT classification: {toxic_classification}, Confidence: {toxic_severity:.2f}"
+
+    return openai_moderation_result, anthropic_moderation_result, azure_moderation_result, toxic_explanation
+
 
 # Create the Gradio interface with updated input and output labels
 iface = gr.Interface(