#================================================================
# https://huggingface.co/spaces/asigalov61/Advanced-MIDI-Renderer
#================================================================
import os
import hashlib
import time
import datetime
from pytz import timezone
import gradio as gr
import TMIDIX
from midi_to_colab_audio import midi_to_colab_audio
import copy
from collections import Counter
import random
import statistics
#==========================================================================================================
def render_midi(input_midi,
render_type,
soundfont_bank,
render_sample_rate,
custom_render_patch,
render_transpose_value,
render_transpose_to_C4,
render_align
):
print('*' * 70)
print('Req start time: {:%Y-%m-%d %H:%M:%S}'.format(datetime.datetime.now(PDT)))
start_time = time.time()
print('=' * 70)
print('Loading MIDI...')
fn = os.path.basename(input_midi)
fn1 = fn.split('.')[0]
fdata = open(input_midi, 'rb').read()
input_midi_md5hash = hashlib.md5(fdata).hexdigest()
print('=' * 70)
print('Input MIDI file name:', fn)
print('Input MIDI md5 hash', input_midi_md5hash)
print('Render type:', render_type)
print('Soudnfont bank', soundfont_bank)
print('Audio render sample rate', render_sample_rate)
print('Custom MIDI render patch', custom_render_patch)
print('Transpose value:', render_transpose_value)
print('Transpose to C4', render_transpose_to_C4)
print('Align to bars:', render_align)
print('=' * 70)
print('Processing MIDI...Please wait...')
#=======================================================
# START PROCESSING
raw_score = TMIDIX.midi2single_track_ms_score(fdata)
escore = TMIDIX.advanced_score_processor(raw_score, return_enhanced_score_notes=True)[0]
escore = TMIDIX.augment_enhanced_score_notes(escore, timings_divider=1)
first_note_index = [e[0] for e in raw_score[1]].index('note')
cscore = TMIDIX.chordify_score([1000, escore])
meta_data = raw_score[1][:first_note_index] + [escore[0]] + [escore[-1]] + [raw_score[1][-1]]
print('Done!')
print('=' * 70)
print('Input MIDI metadata:', meta_data[:5])
print('=' * 70)
print('Processing...Please wait...')
if render_type == 'Render as-is' or render_type == "Summarize":
output_score = copy.deepcopy(escore)
elif render_type == "Custom render" or not render_type:
output_score = copy.deepcopy(escore)
elif render_type == "Extract melody":
output_score = TMIDIX.extract_melody(cscore, melody_range=[48, 84])
elif render_type == "Flip":
output_score = TMIDIX.flip_enhanced_score_notes(escore)
elif render_type == "Reverse":
output_score = TMIDIX.reverse_enhanced_score_notes(escore)
elif render_type == 'Repair':
fixed_cscore = TMIDIX.advanced_check_and_fix_chords_in_chordified_score(cscore)[0]
output_score = TMIDIX.flatten(fixed_cscore)
print('Done processing!')
print('=' * 70)
print('Repatching if needed...')
print('=' * 70)
if -1 < custom_render_patch < 128:
for e in output_score:
if e[3] != 9:
e[6] = custom_render_patch
print('Done repatching!')
print('=' * 70)
print('Sample output events', output_score[:5])
print('=' * 70)
print('Final processing...')
new_fn = fn1+'.mid'
if render_type != "Render as-is":
if render_transpose_value != 0:
output_score = TMIDIX.transpose_escore_notes(output_score, render_transpose_value)
if render_transpose_to_C4:
output_score = TMIDIX.transpose_escore_notes_to_pitch(output_score)
if render_align == "Start Times":
output_score = TMIDIX.recalculate_score_timings(output_score)
output_score = TMIDIX.align_escore_notes_to_bars(output_score)
elif render_align == "Start Times and Durations":
output_score = TMIDIX.recalculate_score_timings(output_score)
output_score = TMIDIX.align_escore_notes_to_bars(output_score, trim_durations=True)
elif render_align == "Start Times and Split Durations":
output_score = TMIDIX.recalculate_score_timings(output_score)
output_score = TMIDIX.align_escore_notes_to_bars(output_score, split_durations=True)
if render_type == "Summarize":
sp_escore_notes = TMIDIX.solo_piano_escore_notes(output_score)
bmatrix = TMIDIX.escore_notes_to_binary_matrix(sp_escore_notes)
smatrix = TMIDIX.square_binary_matrix(bmatrix)
output_score = TMIDIX.binary_matrix_to_original_escore_notes(smatrix)
for o in output_score:
o[1] *= 160
o[2] *= 160
SONG, patches, overflow_patches = TMIDIX.patch_enhanced_score_notes(output_score)
detailed_stats = TMIDIX.Tegridy_ms_SONG_to_MIDI_Converter(SONG,
output_signature = 'Advanced MIDI Renderer',
output_file_name = fn1,
track_name='Project Los Angeles',
list_of_MIDI_patches=patches
)
else:
with open(new_fn, 'wb') as f:
f.write(fdata)
f.close()
if soundfont_bank in ["General MIDI", "Nice strings plus orchestra", "Real choir", "Orpheus", "Super Game Boy", "Proto Square"]:
sf2bank = ["General MIDI", "Nice strings plus orchestra", "Real choir", "Orpheus", "Super Game Boy", "Proto Square"].index(soundfont_bank)
else:
sf2bank = 0
if render_sample_rate in ["16000", "32000", "44100"]:
srate = int(render_sample_rate)
else:
srate = 16000
audio = midi_to_colab_audio(new_fn,
soundfont_path=soundfonts[sf2bank],
sample_rate=srate,
volume_scale=10,
output_for_gradio=True
)
new_md5_hash = hashlib.md5(open(new_fn,'rb').read()).hexdigest()
print('Done!')
print('=' * 70)
#========================================================
output_midi_md5 = str(new_md5_hash)
output_midi_title = str(fn1)
output_midi_summary = str(meta_data)
output_midi = str(new_fn)
output_audio = (srate, audio)
output_plot = TMIDIX.plot_ms_SONG(output_score, plot_title=output_midi, return_plt=True)
print('Output MIDI file name:', output_midi)
print('Output MIDI title:', output_midi_title)
print('Output MIDI hash:', output_midi_md5)
print('Output MIDI summary:', output_midi_summary[:5])
print('=' * 70)
#========================================================
print('Req end time: {:%Y-%m-%d %H:%M:%S}'.format(datetime.datetime.now(PDT)))
print('-' * 70)
print('Req execution time:', (time.time() - start_time), 'sec')
print('*' * 70)
#========================================================
return output_midi_md5, 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)
soundfonts = ["SGM-v2.01-YamahaGrand-Guit-Bass-v2.7.sf2",
"Nice-Strings-PlusOrchestra-v1.6.sf2",
"KBH-Real-Choir-V2.5.sf2",
"Orpheus_18.06.2020.sf2",
"SuperGameBoy.sf2",
"ProtoSquare.sf2"
]
app = gr.Blocks()
with app:
gr.Markdown("Advanced MIDI Renderer
")
gr.Markdown("Transform and render any MIDI
")
gr.Markdown("\n\n"
"This is a demo for tegridy-tools\n\n"
"Please see [tegridy-tools](https://github.com/asigalov61/tegridy-tools) GitHub repo for more information\n\n"
)
gr.Markdown("## Upload your MIDI")
input_midi = gr.File(label="Input MIDI", file_types=[".midi", ".mid", ".kar"], type="filepath")
gr.Markdown("## Select desired render type")
render_type = gr.Radio(["Render as-is",
"Custom render",
"Extract melody",
"Flip",
"Reverse",
"Repair",
"Summarize"
],
label="Render type",
value="Render as-is"
)
gr.Markdown("## Select desired render options")
soundfont_bank = gr.Radio(["General MIDI",
"Nice strings plus orchestra",
"Real choir",
"Orpheus",
"Super Game Boy",
"Proto Square"
],
label="SoundFont bank",
value="General MIDI"
)
render_sample_rate = gr.Radio(["16000",
"32000",
"44100"
],
label="MIDI audio render sample rate",
value="16000"
)
custom_render_patch = gr.Slider(-1, 127, value=-1, label="Custom render MIDI patch")
render_transpose_value = gr.Slider(-12, 12, value=0, step=1, label="Transpose value")
render_transpose_to_C4 = gr.Checkbox(label="Transpose to C4", value=False)
render_align = gr.Radio(["Do not align",
"Start Times",
"Start Times and Durations",
"Start Times and Split Durations"
],
label="Align output to bars",
value="Do not align"
)
submit = gr.Button()
gr.Markdown("## Render results")
output_midi_md5 = gr.Textbox(label="Output MIDI md5 hash")
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 = submit.click(render_midi, [input_midi,
render_type,
soundfont_bank,
render_sample_rate,
custom_render_patch,
render_transpose_value,
render_transpose_to_C4,
render_align
],
[output_midi_md5,
output_midi_title,
output_midi_summary,
output_midi,
output_audio,
output_plot
])
app.queue().launch()