ST AI music

from music21 import converter, instrument, note, chord def preprocess_midi(file_path): midi = converter.parse(file_path) notes = [] for element in midi.flat.notes: if isinstance(element, note.Note): notes.append(str(element.pitch)) elif isinstance(element, chord.Chord): notes.append('.'.join(str(n) for n in element.normalOrder)) return notes import tensorflow as tf from tensorflow.keras.models import Sequential from tensorflow.keras.layers import LSTM, Dense, Dropout def build_model(input_shape): model = Sequential([ LSTM(512, return_sequences=True, input_shape=input_shape), Dropout(0.3), LSTM(512, return_sequences=True), Dropout(0.3), LSTM(512), Dense(256), Dense(128), Dense(1) ]) model.compile(optimizer='adam', loss='categorical_crossentropy') return model import numpy as np def generate_notes(model, input_notes, num_notes): notes = [] pattern = input_notes[:100] # Starting sequence for _ in range(num_notes): prediction = model.predict(np.array([pattern])) index = np.argmax(prediction) notes.append(index) pattern.append(index) pattern = pattern[1:] return notes import numpy as np def generate_notes(model, input_notes, num_notes): notes = [] pattern = input_notes[:100] # Starting sequence for _ in range(num_notes): prediction = model.predict(np.array([pattern])) index = np.argmax(prediction) notes.append(index) pattern.append(index) pattern = pattern[1:] return notes from music21 import stream, note, chord def create_midi_file(notes, file_path): output_notes = [] for n in notes: new_note = note.Note(n) new_note.quarterLength = 0.5 output_notes.append(new_note) midi_stream = stream.Stream(output_notes) midi_stream.write('midi', fp=file_path) 6from flask import Flask, request, jsonify import your_music_generator_code app = Flask(__name__) @app.route('/generate', methods=['POST']) def generate(): data = request.json prompt = data['prompt'] generated_midi = your_music_generator_code.generate_music(prompt) return jsonify({'status': 'success', 'midi_file': generated_midi}) if __name__ == '__main__': app.run(debug=True)