# https://huggingface.co/spaces/asigalov61/MIDI-Melody import os.path import time as reqtime import datetime from pytz import timezone import gradio as gr import random import tqdm from midi_to_colab_audio import midi_to_colab_audio import TMIDIX import matplotlib.pyplot as plt in_space = os.getenv("SYSTEM") == "spaces" # ================================================================================================= def AddMelody(input_midi, input_channel, input_patch, input_start_chord): print('=' * 70) print('Req start time: {:%Y-%m-%d %H:%M:%S}'.format(datetime.datetime.now(PDT))) start_time = reqtime.time() print('=' * 70) fn = os.path.basename(input_midi.name) fn1 = fn.split('.')[0] print('-' * 70) print('Input file name:', fn) print('Req channel:', input_channel) print('Req patch:', input_patch) print('Req start chord:', input_start_chord) print('-' * 70) #=============================================================================== raw_score = TMIDIX.midi2single_track_ms_score(input_midi.name) #=============================================================================== # Enhanced score notes escore_notes = TMIDIX.advanced_score_processor(raw_score, return_enhanced_score_notes=True)[0] if len(escore_notes) > 0: #======================================================= # PRE-PROCESSING #=============================================================================== # Augmented enhanced score notes escore_notes = TMIDIX.augment_enhanced_score_notes(escore_notes) #=============================================================================== # Recalculate timings escore_notes = TMIDIX.recalculate_score_timings(escore_notes) #=============================================================================== # Add melody output = TMIDIX.add_melody_to_enhanced_score_notes(escore_notes, melody_channel=input_channel, melody_patch=input_patch, melody_start_chord=input_start_chord ) print('=' * 70) print('Done!') print('=' * 70) #=============================================================================== print('Rendering results...') print('=' * 70) print('Sample INTs', output[:12]) print('=' * 70) output_score, patches, overflow_patches = TMIDIX.patch_enhanced_score_notes(output) detailed_stats = TMIDIX.Tegridy_ms_SONG_to_MIDI_Converter(output_score, output_signature = 'MIDI Melody', output_file_name = fn1, track_name='Project Los Angeles', list_of_MIDI_patches=patches, timings_multiplier=16 ) new_fn = fn1+'.mid' audio = midi_to_colab_audio(new_fn, soundfont_path=soundfont, sample_rate=16000, volume_scale=10, output_for_gradio=True ) print('Done!') print('=' * 70) #======================================================== output_midi_title = str(fn1) output_midi_summary = str(output_score[:3]) output_midi = str(new_fn) output_audio = (16000, audio) for o in output_score: o[1] *= 16 o[2] *= 16 output_plot = TMIDIX.plot_ms_SONG(output_score, plot_title=output_midi_title, return_plt=True) print('Output MIDI file name:', output_midi) print('Output MIDI title:', output_midi_title) print('Output MIDI summary:', '') print('=' * 70) #======================================================== print('-' * 70) print('Req end time: {:%Y-%m-%d %H:%M:%S}'.format(datetime.datetime.now(PDT))) print('-' * 70) print('Req execution time:', (reqtime.time() - start_time), 'sec') return output_midi_title, output_midi_summary, output_midi, output_audio, output_plot # ================================================================================================= if __name__ == "__main__": PDT = timezone('US/Pacific') print('=' * 70) print('App start time: {:%Y-%m-%d %H:%M:%S}'.format(datetime.datetime.now(PDT))) print('=' * 70) soundfont = "SGM-v2.01-YamahaGrand-Guit-Bass-v2.7.sf2" app = gr.Blocks() with app: gr.Markdown("