Update comparativesIdentification.py

comparativesIdentification.py

@@ -11,6 +11,7 @@ spacy.cli.download("en_core_web_sm")
 # use spacy small because in that way we are closer to a BOW model which is the one we care in our case since we just compare words
 nlp_comparatives = spacy.load('en_core_web_sm', disable=["parser", "ner"])
 
+
 def find_comptives_symbols(sentence):
     """
     Capture unique cases of symbols like <, >, =, <=, >= and ==
@@ -768,4 +769,4 @@ def comparatives_binding(sentence):
       return (0, "COMPARATIVES", "more_symbol_comparatives")
 
   except:
-    return (0, "COMPARATIVES", "unknown_error") 
+    return (0, "COMPARATIVES", "unknown_error")