| |
|
|
| import os.path |
| import hashlib |
| import time |
| import datetime |
| from pytz import timezone |
|
|
| import gradio as gr |
|
|
| import tqdm |
|
|
| 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('=' * 70) |
| print('Processing MIDI...Please wait...') |
| |
| |
| |
|
|
| 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) |
|
|
| 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": |
|
|
| 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, |
| timings_multiplier=16 |
| ) |
|
|
| 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"]: |
| 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, return_plt=True, timings_multiplier=16) |
|
|
| 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) |
| |
| |
| 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) |
|
|
| 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("<h1 style='text-align: center; margin-bottom: 1rem'>Advanced MIDI Renderer</h1>") |
| gr.Markdown("<h1 style='text-align: center; margin-bottom: 1rem'>Transform and render any MIDI</h1>") |
| |
| 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"], 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() |
