Add length constants

app.py

@@ -4,10 +4,12 @@ from keras.models import load_model
 from keras_self_attention import SeqSelfAttention
 import numpy as np
 
-model = load_model("model.keras", custom_objects={"SeqSelfAttention":SeqSelfAttention})
+model = load_model("model.keras", custom_objects={"SeqSelfAttention": SeqSelfAttention})
 with open("tokenizer.pckl", "rb") as file:
     tokenizer = pickle.load(file)
 
+l1, l2 = 10, 10
+
 def classify(text: str, response: str):
     question = list(tokenizer.texts_to_sequences([text.lower(),])[0])
     answer = list(tokenizer.texts_to_sequences([response.lower(),])[0])