app.py

# https://huggingface.co/spaces/asigalov61/MIDI-Melody

import os.path

import time as reqtime
import datetime
from pytz import timezone

import gradio as gr

import random
import tqdm

from midi_to_colab_audio import midi_to_colab_audio
import TMIDIX

import matplotlib.pyplot as plt

in_space = os.getenv("SYSTEM") == "spaces"
         
# =================================================================================================

def mix_chord(chord, tones_chord, mel_patch, mel_pitch):

  cho = []

  for k, g in groupby(sorted(chord, key=lambda x: x[6]), lambda x: x[6]):

    if k != 128:
      if k == mel_patch:
        cg = list(g)
        c = copy.deepcopy(cg[0])
        c[4] = mel_pitch
        c[5] = 105 + (mel_pitch % 12)
        cho.append(c)

      else:
        cg = list(g)

        tclen = len(tones_chord)

        if len(cg) > tclen:
          tones_chord = tones_chord + [random.choice(tones_chord) for _ in range(len(cg)-tclen)]

        for i, cc in enumerate(cg):
          c = copy.deepcopy(cc)
          c[4] = ((c[4] // 12) * 12) +tones_chord[i]
          c[5] += c[4] % 12
          cho.append(c)

    else:
      cho.extend(list(g))

  return cho

# =================================================================================================

def MixMelody(input_midi):
    print('=' * 70)
    print('Req start time: {:%Y-%m-%d %H:%M:%S}'.format(datetime.datetime.now(PDT)))
    start_time = reqtime.time()

    print('=' * 70)

    fn = os.path.basename(input_midi.name)
    fn1 = fn.split('.')[0]

    print('-' * 70)
    print('Input file name:', fn)
    print('-' * 70)

    #===============================================================================
    raw_score = TMIDIX.midi2single_track_ms_score(input_midi.name)
    
    #===============================================================================
    # Enhanced score notes
    
    raw_escore = TMIDIX.advanced_score_processor(raw_score, return_enhanced_score_notes=True)[0]
    
    if len(raw_escore) > 0:
    
        #===============================================================================
        # Augmented enhanced score notes
        
        src_escore = TMIDIX.recalculate_score_timings(TMIDIX.augment_enhanced_score_notes([e for e in raw_escore if e[6] < 80]))
        
        src_cscore = TMIDIX.chordify_score([1000, src_escore])
        
        src_melody = [c[0] for c in src_cscore][:256]
        
        src_melody_pitches = [p[4] for p in src_melody]
        
        src_harm_tones_chords = TMIDIX.harmonize_enhanced_melody_score_notes(src_melody)
        
        #===============================================================================
        
        matched_songs = [a for a in all_songs if a[2] == max(32, len(src_melody))]
        
        
        new_song = random.choice(matched_songs)
        
        if new_song:
          print(new_song[0], TMIDIX.Number2patch[new_song[1]], new_song[2])
        
          trg_patch = new_song[1]
        
          trg_song = copy.deepcopy(new_song[3])
          TMIDIX.adjust_score_velocities(trg_song, 95)
        
          cscore = TMIDIX.chordify_score([1000, trg_song])
        
        print('=' * 70)
        print('Done loading source and target MIDIs...!')
        print('=' * 70)

        #===============================================================================
        print('Rendering results...')
        
        print('=' * 70)
        print('Sample INTs', output[:12])
        print('=' * 70)
        
        output_score, patches, overflow_patches = TMIDIX.patch_enhanced_score_notes(output)

        detailed_stats = TMIDIX.Tegridy_ms_SONG_to_MIDI_Converter(output_score,
                                                                  output_signature = 'MIDI Melody',
                                                                  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(output_score[:3])
        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:', '')
        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"
    all_songs = TMIDIX.Tegridy_Any_Pickle_File_Reader('Monster_52905_Mono_Melodies_MIDI_Dataset')
   
    app = gr.Blocks()
    with app:
        gr.Markdown("<h1 style='text-align: center; margin-bottom: 1rem'>Harmonic Melody MIDI Mixer</h1>")
        gr.Markdown("<h1 style='text-align: center; margin-bottom: 1rem'>Harmonize and mix any MIDI melody</h1>")
        gr.Markdown(
            "![Visitors](https://api.visitorbadge.io/api/visitors?path=asigalov61.Harmonic-Melody-MIDI-Mixer&style=flat)\n\n"
            "This is a demo for TMIDIX Python module from tegridy-tools and Monster Mono Melodies MIDI Dataset\n\n"
            "Check out [tegridy-tools](https://github.com/asigalov61/tegridy-tools) on GitHub!\n\n"
            "Check out [Monster-MIDI-Dataset](https://github.com/asigalov61/Monster-MIDI-Dataset) on GitHub!\n\n"
        )
        gr.Markdown("## Upload your MIDI or select a sample example MIDI below")
        
        input_midi = gr.File(label="Input MIDI", file_types=[".midi", ".mid", ".kar"])
        
        run_btn = gr.Button("add melody", variant="primary")

        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="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 = run_btn.click(MixMelody, [input_midi],
                                  [output_midi_title, output_midi_summary, output_midi, output_audio, output_plot])

        gr.Examples(
            [["Abracadabra-Sample-Melody.mid"], 
             ["Sparks-Fly-Sample-Melody.mid"],
            ],
            [input_midi],
            [output_midi_title, output_midi_summary, output_midi, output_audio, output_plot],
            MixMelody,
            cache_examples=True,
        )
        
        app.queue().launch()