Update app.py

app.py

@@ -51,12 +51,6 @@ cls_explainer = SequenceClassificationExplainer(
 
 def process_final_text(text):
     X_test = str(text).lower()
-    #l = []
-    #l.append(X_test)
-    #test_sequences = tok.texts_to_sequences(l)
-    #test_sequences_matrix = sequence.pad_sequences(test_sequences,maxlen=max_len)
-    #lstm_prob = lmodel.predict(test_sequences_matrix.tolist()).flatten()
-    #lstm_pred = np.where(lstm_prob>=0.5,1,0)
     
     encoded_input = tokenizer(X_test, return_tensors='pt')
     output = model(**encoded_input)