Update classifier.py

classifier.py

@@ -2,7 +2,7 @@
 import torch
 from model_loader import classifier_model
 from paraphraser import paraphrase_comment
-from metrics import compute_semantic_similarity, compute_empathy_score, compute_bleu_score, compute_rouge_score
+from metrics import compute_semantic_similarity, compute_empathy_score, compute_rouge_score
 
 def classify_toxic_comment(comment):
     """
@@ -48,7 +48,6 @@ def classify_toxic_comment(comment):
     paraphrased_bias_score = None
     semantic_similarity = None
     empathy_score = None
-    bleu_score = None
     rouge_scores = None
 
     if label == "Toxic":
@@ -73,12 +72,11 @@ def classify_toxic_comment(comment):
         # Compute essential metrics
         semantic_similarity = compute_semantic_similarity(comment, paraphrased_comment)
         empathy_score = compute_empathy_score(paraphrased_comment)
-        bleu_score = compute_bleu_score(comment, paraphrased_comment)
         rouge_scores = compute_rouge_score(comment, paraphrased_comment)
 
     return (
         f"Prediction: {label}", confidence, label_color, toxicity_score, bias_score,
         paraphrased_comment, f"Prediction: {paraphrased_label}" if paraphrased_comment else None,
         paraphrased_confidence, paraphrased_color, paraphrased_toxicity_score, paraphrased_bias_score,
-        semantic_similarity, empathy_score, bleu_score, rouge_scores
+        semantic_similarity, empathy_score, rouge_scores
     )