Update app.py

app.py

@@ -57,13 +57,7 @@ classificationResult = pipe("El objetivo de esta tesis es elaborar un estudio de
 
 
 def thesis_prediction(input):
-               tokenizer = AutoTokenizer.from_pretrained('"hiiamsid/BETO_es_binary_classification"', use_fast=False)             
-
-              # Deserialization of the file
-              #file = open(path + os.path.sep + 'classIndexAssociation.pkl', 'rb')
-              #new_model = pickle.load(file)
-
-              #sizeOfClass = len(new_model)
+              tokenizer = AutoTokenizer.from_pretrained('"hiiamsid/BETO_es_binary_classification"', use_fast=False)             
 
               model = AutoModelForSequenceClassification.from_pretrained(
                    'hackathon-pln-es/unam_tesis_BETO_finnetuning', num_labels=5, output_attentions=False,