chore: Add annotation

KoozDawa/dawa/lstm.py

@@ -41,10 +41,12 @@ def create_model(max_sequence_len, total_words, layers=100, dropout=0.1):  # TOD
 
     model.compile(loss='categorical_crossentropy', optimizer='adam')
 
+    # TODO: Try alternative architectures
+    #  https://medium.com/coinmonks/word-level-lstm-text-generator-creating-automatic-song-lyrics-with-neural-networks-b8a1617104fb#35f4
     return model
 
 
-def generate_text(model, tokenizer, seed_text="", nb_words=5, max_sequence_len=0):
+def generate_text(model: Sequential, tokenizer: Tokenizer, seed_text="", nb_words=5, max_sequence_len=0) -> str:
     for _ in range(nb_words):
         token_list = tokenizer.texts_to_sequences([seed_text])[0]
         token_list = pad_sequences([token_list], maxlen=max_sequence_len - 1, padding='pre')