Update README.md

README.md

@@ -84,10 +84,10 @@ iqa_score = np.mean(scores)
 # maps the predicted score from the model's range [min_pred, max_pred] 
 # to the actual range [min_score, max_score] using min-max scaling.
 
-  min_pred = -6.52
-  max_pred = 3.11
-  max_score = 4.32
-  min_score = 1
+min_pred = -6.52
+max_pred = 3.11
+max_score = 4.32
+min_score = 1
 
 normalized_score = ((iqa_score - min_pred) / (max_pred - min_pred)) * (max_score - min_score) + min_score
 print(f"Predicted quality Score: {normalized_score:.4f}")