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generate.py
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generate.py
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# Generate music using the model trained earlier
from keras.models import load_model
import numpy as np
import pickle
from music21 import converter, instrument, note, chord, stream
notes = []
with open ("notes", "rb") as file:
notes = pickle.load(file)
pitch_names = sorted(set(notes))
model = load_model("model.hdf5")
# Create a mapping from int to element
int_to_element = dict ((num, element) for num, element in enumerate (pitch_names))
element_to_int = dict ((element, num) for num, element in int_to_element.items())
sequence_length = 100
test_input = []
for i in range (len(notes) - sequence_length):
seq_inp = notes[i:i+sequence_length]
test_input.append([element_to_int[ch] for ch in seq_inp])
vocab_len = 359
# Randomly select a sequence of notes from test_input
start = np.random.randint(len(test_input)-1)
# Feed this to model and get prediction
pattern = test_input[start]
final_prediction = []
print("Running the model...")
for note_index in range(200):
pred_inp = np.reshape(pattern, (1, len(pattern), 1))
inp = pred_inp/float(vocab_len)
prediction = model.predict(inp, verbose=0)
idx = np.argmax(prediction)
result = int_to_element[idx]
# Append this predicted note output to final_prediction
final_prediction.append(result)
# Next input to model should also have same size
# So use this same input, but drop the first note and append the predicted note
pattern = pattern[1:]
pattern.append(idx)
print("Music generated!")
# Create MIDI files
print("Creating MIDI file...")
offset = 0 #Time
final_notes = []
for pattern in final_prediction:
#If pattern is a chord
if ('+' in pattern ) or pattern.isdigit():
notes_in_chord = pattern.split('+')
temp_notes = []
for curr_note in notes_in_chord:
# For each note in the chord, create a new Note object
new_note = note.Note(int(curr_note))
new_note.storedInstrument = instrument.Piano()
temp_notes.append(new_note)
new_chord = chord.Chord(temp_notes)
new_chord.offset = offset
final_notes.append(new_chord)
#If pattern is a note
else:
curr_note = note.Note(pattern)
curr_note.offset = offset
curr_note.storedInstrument = instrument.Piano()
final_notes.append(curr_note)
offset += 0.5
# Create a stream object from the generated notes
MIDI_stream = stream.Stream(final_notes)
MIDI_stream.write('midi', fp = 'output.mid')
print("Music saved as \"output.mid\" in current directory")