I need LSTM code

Sure, here's an example of how to implement an LSTM in Python using Keras:

from keras.models import Sequential
from keras.layers import Dense, LSTM

model = Sequential()
model.add(LSTM(units=64, input_shape=(timesteps, input_dim)))
model.add(Dense(units=output_dim, activation='softmax'))

model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])
model.fit(X_train, y_train, epochs=10, batch_size=32)

Where `timesteps` is the number of time steps in your input sequence, `input_dim` is the dimensionality of each time step, and `output_dim` is the number of output classes. `X_train` and `y_train` are your training data and labels, respectively.

This is just a basic example, and there are many additional parameters and options you can use to customize your LSTM. I recommend checking out the Keras documentation for more information.