import argparse
import glob
import os.path
import hashlib
import time
import datetime
from pytz import timezone
import gradio as gr
import pickle
import tqdm
import json
import TMIDIX
from midi_to_colab_audio import midi_to_colab_audio
import copy
from collections import Counter
import random
import statistics
import matplotlib.pyplot as plt
#==========================================================================================================
in_space = os.getenv("SYSTEM") == "spaces"
#==========================================================================================================
def render_midi(input_midi, render_type, soundfont_bank, render_sample_rate, custom_render_patch):
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('Melody patch', melody_patch)
print('=' * 70)
print('Processing MIDI...Please wait...')
#=======================================================
# START PROCESSING
raw_score = TMIDIX.midi2single_track_ms_score(fdata, recalculate_channels=False)
escore = TMIDIX.advanced_score_processor(raw_score, return_score_analysis=False, return_enhanced_score_notes=True)[0]
first_note_index = raw_score[1].index(escore[0][:6])
for e in escore:
e[1] = int(e[1] / 16)
e[2] = int(e[2] / 16)
# Sorting by patch, pitch, then by start-time
escore.sort(key=lambda x: x[6])
escore.sort(key=lambda x: x[4], reverse=True)
escore.sort(key=lambda x: x[1])
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)
print('=' * 70)
print('Processing...Please wait...')
if render_type == "Render as-is" or not render_type:
output_score = copy.deepcopy(escore)
elif render_type == "Extract melody":
output_score = copy.deepcopy([c[0] for c in cscore if c[0][3] != 9])
for e in output_score:
e[3] = 0
if e[4] < 60:
e[4] = (e[4] % 12) + 60
fixed_score = []
for i in range(len(output_score)-1):
note = output_score[i]
nmt = output_score[i+1][1]
if note[1]+note[2] >= nmt:
note_dur = nmt-note[1]-1
else:
note_dur = note[2]
fixed_score.append([note[0], note[1], note_dur, note[3], note[4], note[5], note[6]])
fixed_score.append(output_score[-1])
output_score = copy.deepcopy(fixed_score)
elif render_type == "Transform":
output_score = copy.deepcopy(escore)
for e in output_score:
if e[3] != 9:
e[4] = (127 - e[4]) - 10
elif render_type == 'Repair':
output_score = []
for c in cscore:
tones_chord = sorted(set([t[4] % 12 for t in c if t[3] != 9]))
drums_events = [t for t in c if t[3] == 9]
if tones_chord:
new_tones_chord = TMIDIX.check_and_fix_tones_chord(tones_chord)
if len(c) > 1:
output_score.extend([c[0]])
for cc in c[1:]:
if cc[3] != 9:
if (cc[4] % 12) in new_tones_chord:
output_score.extend([cc])
output_score.extend(drums_events)
else:
output_score.extend([c[0]])
else:
output_score.extend(c)
output_score.sort(key= lambda x: x[1])
print('Done processing!')
print('=' * 70)
print('Recalculating timings...')
print('=' * 70)
for e in output_score:
e[1] = e[1] * 16
e[2] = e[2] * 16
if -1 < custom_render_patch < 128:
if e[3] != 9:
e[6] = custom_render_patch
print('Done recalculating timings!')
print('=' * 70)
print('Sample output events', output_score[:5])
print('=' * 70)
print('Final processing...')
new_fn = fn1+'.mid'
patches = [-1] * 16
patches[9] = 9
for e in output_score:
if e[3] != 9:
if patches[e[3]] == -1:
patches[e[3]] = e[6]
else:
if patches[e[3]] != e[6]:
if -1 in patches:
patches[patches.index(-1)] = e[6]
else:
patches[-1] = e[6]
patches = [p if p != -1 else 0 for p in patches]
detailed_stats = TMIDIX.Tegridy_ms_SONG_to_MIDI_Converter(output_score,
output_signature = 'Advanced MIDI Renderer',
output_file_name = fn1,
track_name='Project Los Angeles',
list_of_MIDI_patches=patches
)
if soundfont_bank in ["General MIDI", "Nice strings plus orchestra", "Real choir"]:
sf2bank = ["General MIDI", "Nice strings plus orchestra", "Real choir"].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)
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)
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)
#========================================================
yield 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)
parser = argparse.ArgumentParser()
parser.add_argument("--share", action="store_true", default=False, help="share gradio app")
parser.add_argument("--port", type=int, default=7860, help="gradio server port")
opt = parser.parse_args()
soundfonts = ["SGM-v2.01-YamahaGrand-Guit-Bass-v2.7.sf2", "Nice-Strings-PlusOrchestra-v1.6.sf2", "KBH-Real-Choir-V2.5.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", "Extract melody", "Transform", "Repair"], 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"], 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 MIDI render patch")
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],
[output_midi_md5, output_midi_title, output_midi_summary, output_midi, output_audio, output_plot])
app.queue(1).launch(server_port=opt.port, share=opt.share, inbrowser=True)