# 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 mix_chord(chord, tones_chord, mel_patch, mel_pitch):
cho = []
for k, g in groupby(sorted(chord, key=lambda x: x[6]), lambda x: x[6]):
if k != 128:
if k == mel_patch:
cg = list(g)
c = copy.deepcopy(cg[0])
c[4] = mel_pitch
c[5] = 105 + (mel_pitch % 12)
cho.append(c)
else:
cg = list(g)
tclen = len(tones_chord)
if len(cg) > tclen:
tones_chord = tones_chord + [random.choice(tones_chord) for _ in range(len(cg)-tclen)]
for i, cc in enumerate(cg):
c = copy.deepcopy(cc)
c[4] = ((c[4] // 12) * 12) +tones_chord[i]
c[5] += c[4] % 12
cho.append(c)
else:
cho.extend(list(g))
return cho
# =================================================================================================
def MixMelody(input_midi):
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('-' * 70)
#===============================================================================
raw_score = TMIDIX.midi2single_track_ms_score(input_midi.name)
#===============================================================================
# Enhanced score notes
raw_escore = TMIDIX.advanced_score_processor(raw_score, return_enhanced_score_notes=True)[0]
if len(raw_escore) > 0:
#===============================================================================
# Augmented enhanced score notes
src_escore = TMIDIX.recalculate_score_timings(TMIDIX.augment_enhanced_score_notes([e for e in raw_escore if e[6] < 80]))
src_cscore = TMIDIX.chordify_score([1000, src_escore])
src_melody = [c[0] for c in src_cscore][:256]
src_melody_pitches = [p[4] for p in src_melody]
src_harm_tones_chords = TMIDIX.harmonize_enhanced_melody_score_notes(src_melody)
#===============================================================================
matched_songs = [a for a in all_songs if a[2] == max(32, len(src_melody))]
new_song = random.choice(matched_songs)
if new_song:
print(new_song[0], TMIDIX.Number2patch[new_song[1]], new_song[2])
trg_patch = new_song[1]
trg_song = copy.deepcopy(new_song[3])
TMIDIX.adjust_score_velocities(trg_song, 95)
cscore = TMIDIX.chordify_score([1000, trg_song])
print('=' * 70)
print('Done loading source and target MIDIs...!')
print('=' * 70)
print('Mixing...')
mixed_song = []
midx = 0
for c in cscore[:len(src_melody)]:
cho = copy.deepcopy(c)
patches = sorted(set([e[6] for e in c]))
if trg_patch in patches:
mixed_song.extend(mix_chord(c, src_harm_tones_chords[midx], trg_patch, src_melody_pitches[midx]))
midx += 1
else:
mixed_song.extend(mix_chord(cho, src_harm_tones_chords[midx], trg_patch, src_melody_pitches[midx]))
print('=' * 70)
print('Done!')
print('=' * 70)
#===============================================================================
print('Rendering results...')
print('=' * 70)
print('Sample INTs', mixed_song[:5])
print('=' * 70)
output_score, patches, overflow_patches = TMIDIX.patch_enhanced_score_notes(mixed_song)
detailed_stats = TMIDIX.Tegridy_ms_SONG_to_MIDI_Converter(output_score,
output_signature = 'Harmonic Melody MIDI Mixer',
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"
all_songs = TMIDIX.Tegridy_Any_Pickle_File_Reader('Monster_52905_Mono_Melodies_MIDI_Dataset')
app = gr.Blocks()
with app:
gr.Markdown("Harmonic Melody MIDI Mixer
")
gr.Markdown("Harmonize and mix any MIDI melody
")
gr.Markdown(
"\n\n"
"This is a demo for TMIDIX Python module from tegridy-tools and Monster Mono Melodies MIDI Dataset\n\n"
"Check out [tegridy-tools](https://github.com/asigalov61/tegridy-tools) on GitHub!\n\n"
"Check out [Monster-MIDI-Dataset](https://github.com/asigalov61/Monster-MIDI-Dataset) on GitHub!\n\n"
)
gr.Markdown("## Upload your MIDI or select a sample example MIDI below")
input_midi = gr.File(label="Input MIDI", file_types=[".midi", ".mid", ".kar"])
run_btn = gr.Button("add melody", variant="primary")
gr.Markdown("## Output results")
output_midi_title = gr.Textbox(label="Output MIDI title")
output_midi_summary = gr.Textbox(label="Output MIDI summary")
output_audio = gr.Audio(label="Output MIDI audio", format="wav", elem_id="midi_audio")
output_plot = gr.Plot(label="Output MIDI score plot")
output_midi = gr.File(label="Output MIDI file", file_types=[".mid"])
run_event = run_btn.click(MixMelody, [input_midi],
[output_midi_title, output_midi_summary, output_midi, output_audio, output_plot])
gr.Examples(
[["Abracadabra-Sample-Melody.mid"],
["Sparks-Fly-Sample-Melody.mid"],
],
[input_midi],
[output_midi_title, output_midi_summary, output_midi, output_audio, output_plot],
MixMelody,
cache_examples=True,
)
app.queue().launch()