Update app.py

app.py

@@ -5,6 +5,9 @@ from keras.layers import Embedding, Dense, Dropout, Flatten, PReLU
 from keras.preprocessing.text import Tokenizer
 from keras_self_attention import SeqSelfAttention, SeqWeightedAttention
 
+emb_size = 128
+inp_len = 16
+
 def train(data: str, message: str):
     if "→" not in data and "\n" not in data:
         return "Dataset should be like:\nquestion→answer\nquestion→answer\netc."