SequentialData.py

# Hoe many elements LSTM input should consider
sequence_length = 100

# All unique classes
pitchnames = sorted(set(notes))

# Mapping between ele to int value
ele_to_int = dict( (ele, num) for num, ele in enumerate(pitchnames) )
network_input = []
network_output = []
for i in range(len(notes) - sequence_length):
    seq_in = notes[i : i+sequence_length] # contains 100 values
    seq_out = notes[i + sequence_length]
    
    network_input.append([ele_to_int[ch] for ch in seq_in])
    network_output.append(ele_to_int[seq_out])