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#========================================================================= | |
# https://huggingface.co/spaces/asigalov61/Parsons-Code-Melody-Transformer | |
#========================================================================= | |
import time as reqtime | |
import datetime | |
from pytz import timezone | |
import re | |
import gradio as gr | |
from x_transformer_1_23_2 import * | |
import random | |
from midi_to_colab_audio import midi_to_colab_audio | |
import TMIDIX | |
import matplotlib.pyplot as plt | |
#===================================================================================== | |
def parsons_code_to_tokens(parsons_code_str): | |
tokens = [388] | |
for chr in parsons_code_str[1:]: | |
if chr == 'D': | |
tokens.extend([385]) | |
elif chr == 'R': | |
tokens.extend([386]) | |
elif chr == 'U': | |
tokens.extend([387]) | |
return tokens | |
#==================================================================================== | |
def Generate_Melody(input_parsons_code, | |
input_first_note_duration, | |
iinput_first_note_MIDI_pitch, | |
): | |
print('=' * 70) | |
print('Req start time: {:%Y-%m-%d %H:%M:%S}'.format(datetime.datetime.now(PDT))) | |
start_time = reqtime.time() | |
print('=' * 70) | |
print('Requested settings:') | |
print('-' * 70) | |
print('Parsons code:', input_parsons_code) | |
print('First note duration:', input_first_note_duration) | |
print('First note MIDI pitch:', iinput_first_note_MIDI_pitch) | |
print('=' * 70) | |
#=============================================================================== | |
print('Instantiating Parsons Code Melody Transformer model...') | |
SEQ_LEN = 322 | |
PAD_IDX = 392 | |
model = TransformerWrapper( | |
num_tokens = PAD_IDX+1, | |
max_seq_len = SEQ_LEN, | |
attn_layers = Decoder(dim = 1024, | |
depth = 4, | |
heads = 8, | |
rotary_pos_emb = True, | |
attn_flash = True | |
) | |
) | |
model = AutoregressiveWrapper(model, ignore_index = PAD_IDX, pad_value=PAD_IDX) | |
print('=' * 70) | |
print('Loading model checkpoint...') | |
model_path = 'Parsons_Code_Melody_Transformer_Trained_Model_13786_steps_0.3058_loss_0.8819_acc.pth' | |
model.load_state_dict(torch.load(model_path, map_location='cpu')) | |
model.cpu() | |
model.eval() | |
dtype = torch.bfloat16 | |
ctx = torch.amp.autocast(device_type='cpu', dtype=dtype) | |
print('Done!') | |
print('=' * 70) | |
#=============================================================================== | |
print('Prepping Parsons code string...') | |
td_str = '*DUDUA' | |
td_str = re.sub('[^*DRU]', '', td_str) | |
print(len(td_str)) | |
print('=' * 70) | |
if '*' in td_str and len(td_str) > 1: | |
code_mult = (64 // len(td_str[1:]))+1 | |
mult_code = ('*' + (td_str[1:] * code_mult))[:64] | |
else: | |
mult_code = '*UUUUUUUDDDDDDDUUUUUUUDDDDDDDUUUUUUUDDDDDDDUUUUUUUDDDDDDDUUUUUUU' | |
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(MIDI_Summary) | |
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:', 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" | |
app = gr.Blocks() | |
with app: | |
gr.Markdown("<h1 style='text-align: center; margin-bottom: 1rem'>Parsons Code Melody Transformer</h1>") | |
gr.Markdown("<h1 style='text-align: center; margin-bottom: 1rem'>Generate unique melodies from Parsons codes</h1>") | |
gr.Markdown( | |
"\n\n" | |
"This is a demo for Clean Melodies subset of Tegridy MIDI Dataset\n\n" | |
"Check out [Tegridy MIDI Dataset](https://github.com/asigalov61/Tegridy-MIDI-Dataset) on GitHub!\n\n" | |
) | |
gr.Markdown("## Enter Parsons code below") | |
input_parsons_code = gr.Textbox(label="Enter your Parsons code here", | |
info="Make sure your code starts with *", | |
lines=1, | |
value="*", | |
), | |
gr.Markdown("## Select generation options") | |
input_first_note_duration = gr.Slider(1, 127, value=15, step=1, label="First note duration value") | |
iinput_first_note_MIDI_pitch = gr.Slider(1, 127, value=60, step=1, label="First note MIDI pitch") | |
run_btn = gr.Button("Generate melody", variant="primary") | |
clear_btn = gr.ClearButton(components=[input_parsons_code]) | |
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="mp3", 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(Generate_Melody, [input_parsons_code, | |
input_first_note_duration, | |
iinput_first_note_MIDI_pitch, | |
], | |
[output_midi_title, output_midi_summary, output_midi, output_audio, output_plot]) | |
gr.Examples( | |
[["*UUUUUUUDDDDDDDUUUUUUUDDDDDDDUUUUUUUDDDDDDDUUUUUUUDDDDDDDUUUUUUU", 15, 60], | |
], | |
[input_parsons_code, | |
input_first_note_duration, | |
iinput_first_note_MIDI_pitch, | |
], | |
[output_midi_title, output_midi_summary, output_midi, output_audio, output_plot], | |
Generate_Melody, | |
cache_examples=True, | |
) | |
app.queue().launch() |