Fixed calculation of NonAdvice Metric score.

Author: Sai-Suraj-27

deepeval/metrics/non_advice/non_advice.py

@@ -43,7 +43,7 @@ def __init__(
                 "or ['financial', 'medical'] for multiple types."
             )
 
-        self.threshold = 0 if strict_mode else threshold
+        self.threshold = 1 if strict_mode else threshold
         self.advice_types = advice_types
         self.model, self.using_native_model = initialize_model(model)
         self.evaluation_model = self.model.get_model_name()
@@ -293,7 +293,7 @@ def _calculate_score(self) -> float:
                 appropriate_advice_count += 1
 
         score = appropriate_advice_count / number_of_verdicts
-        return 1 if self.strict_mode and score < 1 else score
+        return 0 if self.strict_mode and score < self.threshold else score
 
     def is_successful(self) -> bool:
         if self.error is not None:

deepeval/metrics/pii_leakage/pii_leakage.py

@@ -35,7 +35,7 @@ def __init__(
         verbose_mode: bool = False,
         evaluation_template: Type[PIILeakageTemplate] = PIILeakageTemplate,
     ):
-        self.threshold = 0 if strict_mode else threshold
+        self.threshold = 1 if strict_mode else threshold
         self.model, self.using_native_model = initialize_model(model)
         self.evaluation_model = self.model.get_model_name()
         self.include_reason = include_reason