fix cache ignore

app.py

@@ -27,7 +27,7 @@ def train(data: str, message: str):
     
     vocab_size = len(tokenizer.word_index) + 1
     data_hash = hash_str(data)+".keras"
-    if hash_str(data)+".keras" in os.listdir("cache"):
+    if data_hash in os.listdir("cache"):
         model = load_model(data_hash)
     else:
         input_layer = Input(shape=(inp_len,))
@@ -68,7 +68,7 @@ def train(data: str, message: str):
         model.compile(loss="sparse_categorical_crossentropy", metrics=["accuracy",])
         
         model.fit(X, y, epochs=16, batch_size=8, workers=4, use_multiprocessing=True)
-        model.save(f"cache/{data_hash}.keras")
+        model.save(f"cache/{data_hash}")
     tokens = tokenizer.texts_to_sequences([message,])[0]
     prediction = model.predict(np.array([(list(tokens)+[0,]*inp_len)[:inp_len],]))[0]
     max_o = 0