chore: switch default config to use LoRA models with optimized thresholds

Update default configuration to use LoRA-based classification:
- Intent classification: lora_intent_classifier_bert-base-uncased_model
- PII detection: lora_pii_detector_bert-base-uncased_model with threshold 0.9

This aligns the default config with e2e test configurations for
consistency across all environments.

Signed-off-by: Yossi Ovadia <[email protected]>

Author: yossiovadia

config/config.yaml

@@ -58,15 +58,14 @@ model_config:
 # Classifier configuration
 classifier:
   category_model:
-    model_id: "models/category_classifier_modernbert-base_model"
-    use_modernbert: true
+    model_id: "models/lora_intent_classifier_bert-base-uncased_model"
     threshold: 0.6
     use_cpu: true
-    category_mapping_path: "models/category_classifier_modernbert-base_model/category_mapping.json"
+    category_mapping_path: "models/lora_intent_classifier_bert-base-uncased_model/category_mapping.json"
   pii_model:
-    model_id: "models/pii_classifier_modernbert-base_presidio_token_model"
-    use_modernbert: true
-    threshold: 0.7
+    model_id: "models/lora_pii_detector_bert-base-uncased_model"
+    use_modernbert: false
+    threshold: 0.9
     use_cpu: true
     pii_mapping_path: "models/pii_classifier_modernbert-base_presidio_token_model/pii_type_mapping.json"