# https://huggingface.co/spaces/asigalov61/Advanced-MIDI-Renderer import os.path 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 import matplotlib.pyplot as plt #========================================================================================================== 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': 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) 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("![Visitors](https://api.visitorbadge.io/api/visitors?path=asigalov61.Advanced-MIDI-Renderer&style=flat)\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"], 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()