fix cache ignore

app.py

@@ -26,8 +26,9 @@ def train(data: str, message: str):
     tokenizer.fit_on_texts(list(dset.keys()))
     
     vocab_size = len(tokenizer.word_index) + 1
+    data_hash = hash_str(data)+".keras"
     if hash_str(data)+".keras" in os.listdir("cache"):
-        model = load_model(hash_str(data)+".keras")
+        model = load_model(data_hash)
     else:
         input_layer = Input(shape=(inp_len,))
         emb_layer = Embedding(input_dim=vocab_size, output_dim=emb_size, input_length=inp_len)(input_layer)
@@ -67,7 +68,7 @@ def train(data: str, message: str):
         model.compile(loss="sparse_categorical_crossentropy", metrics=["accuracy",])
         
         model.fit(X, y, epochs=32, batch_size=8, workers=4, use_multiprocessing=True)
-        model.save("cache/{data_hash}.keras")
+        model.save(f"cache/{data_hash}.keras")
     tokens = tokenizer.texts_to_sequences([message,])[0]
     prediction = model.predict(np.array([(list(tokens)+[0,]*inp_len)[:inp_len],]))[0]
     max_o = 0