Remove shifting

app.py

@@ -12,8 +12,6 @@ import keras
 
 os.mkdir("cache")
 
-maxshift = 4
-
 def hash_str(data: str):
     return hashlib.md5(data.encode('utf-8')).hexdigest()
 
@@ -57,10 +55,9 @@ def train(message: str, epochs: int, learning_rate: float, emb_size: int, inp_le
         y = []
         
         for key in dset:
-            for p in range(maxshift):
-                tokens = tokenizer.texts_to_sequences([key,])[0]
-                X.append(np.array(([0,]*p+list(tokens)+[0,]*inp_len)[:inp_len]))
-                y.append(dset[key])
+            tokens = tokenizer.texts_to_sequences([key,])[0]
+            X.append(np.array((list(tokens)+[0,]*inp_len)[:inp_len]))
+            y.append(dset[key])
         
         X = np.array(X)
         y = np.array(y)