Faster training

app.py

@@ -67,7 +67,7 @@ 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.fit(X, y, epochs=16, batch_size=8, workers=4, use_multiprocessing=True)
         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]