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app.py
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| 1 |
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# https://huggingface.co/spaces/asigalov61/MIDI-Search
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import os
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import time as reqtime
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import datetime
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from pytz import timezone
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import numpy as np
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import gradio as gr
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import random
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import zlib
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from midi_to_colab_audio import midi_to_colab_audio
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import TMIDIX
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import matplotlib.pyplot as plt
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#==========================================================================================================
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def find_midi(title, artist):
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print('=' * 70)
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print('Loading MIDI file...')
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#==================================================
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print('Searching titles...Please wait...')
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random.shuffle(AUX_DATA)
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titles_index = []
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for A in AUX_DATA:
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titles_index.append(A[0])
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search_string = ''
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if title != '' and artist != '':
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search_string = title + ' --- ' + artist
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else:
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search_string = title + artist
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search_match = process.extract(query=search_string, choices=titles_index, limit=1)
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search_index = titles_index.index(search_match[0][0])
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print('Done!')
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print('=' * 70)
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print('Selected title:', AUX_DATA[search_index][0])
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print('=' * 70)
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outy = AUX_DATA[search_index][1]
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print('Sample INTs', outy[:12])
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print('=' * 70)
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if len(outy) != 0:
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song = outy
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song_f = []
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time = 0
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dur = 0
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vel = 90
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pitch = 0
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channel = 0
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patches = [-1] * 16
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channels = [0] * 16
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channels[9] = 1
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for ss in song:
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if 0 <= ss < 256:
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time += ss * 16
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if 256 <= ss < 2304:
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dur = ((ss-256) // 8) * 16
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vel = (((ss-256) % 8)+1) * 15
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if 2304 <= ss < 18945:
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patch = (ss-2304) // 129
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if patch < 128:
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if patch not in patches:
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if 0 in channels:
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cha = channels.index(0)
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channels[cha] = 1
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else:
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cha = 15
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patches[cha] = patch
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channel = patches.index(patch)
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else:
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channel = patches.index(patch)
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if patch == 128:
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channel = 9
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pitch = (ss-2304) % 129
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song_f.append(['note', time, dur, channel, pitch, vel, patch ])
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x = []
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y = []
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c = []
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colors = ['red', 'yellow', 'green', 'cyan',
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'blue', 'pink', 'orange', 'purple',
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'gray', 'white', 'gold', 'silver',
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'lightgreen', 'indigo', 'maroon', 'turquoise']
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for s in [m for m in song_f if m[0] == 'note']:
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x.append(s[1])
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y.append(s[4])
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c.append(colors[s[3]])
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plt.close()
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plt.figure(figsize=(14,5))
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ax=plt.axes(title='MIDI Match Plot')
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ax.set_facecolor('black')
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plt.scatter(x,y, c=c)
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plt.xlabel("Time in MIDI ticks")
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plt.ylabel("MIDI Pitch")
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output_signature = AUX_DATA[search_index][0]
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track_name = 'Project Los Angeles'
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text_encoding = 'ISO-8859-1'
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list_of_MIDI_patches=[0, 24, 32, 40, 42, 46, 56, 71, 73, 0, 53, 19, 0, 0, 0, 0]
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output_header = [1000,
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[['set_tempo', 0, 1000000],
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['time_signature', 0, 4, 2, 24, 8],
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['track_name', 0, bytes(output_signature, text_encoding)]]]
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patch_list = [['patch_change', 0, 0, list_of_MIDI_patches[0]],
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['patch_change', 0, 1, list_of_MIDI_patches[1]],
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['patch_change', 0, 2, list_of_MIDI_patches[2]],
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['patch_change', 0, 3, list_of_MIDI_patches[3]],
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['patch_change', 0, 4, list_of_MIDI_patches[4]],
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['patch_change', 0, 5, list_of_MIDI_patches[5]],
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['patch_change', 0, 6, list_of_MIDI_patches[6]],
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['patch_change', 0, 7, list_of_MIDI_patches[7]],
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['patch_change', 0, 8, list_of_MIDI_patches[8]],
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['patch_change', 0, 9, list_of_MIDI_patches[9]],
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['patch_change', 0, 10, list_of_MIDI_patches[10]],
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['patch_change', 0, 11, list_of_MIDI_patches[11]],
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['patch_change', 0, 12, list_of_MIDI_patches[12]],
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['patch_change', 0, 13, list_of_MIDI_patches[13]],
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['patch_change', 0, 14, list_of_MIDI_patches[14]],
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['patch_change', 0, 15, list_of_MIDI_patches[15]],
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['track_name', 0, bytes(track_name, text_encoding)]]
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| 166 |
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output = output_header + [patch_list + song_f]
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with open(f"MIDI-Search-Sample.mid", 'wb') as f:
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f.write(MIDI.score2midi(output))
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audio = synthesis(MIDI.score2opus(output), soundfont_path)
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| 172 |
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yield AUX_DATA[search_index][0], "MIDI-Search-Sample.mid", (44100, audio), plt
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| 173 |
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| 174 |
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#==========================================================================================================
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| 175 |
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| 176 |
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if __name__ == "__main__":
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| 177 |
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parser = argparse.ArgumentParser()
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| 178 |
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parser.add_argument("--share", action="store_true", default=False, help="share gradio app")
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| 179 |
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parser.add_argument("--port", type=int, default=7860, help="gradio server port")
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| 180 |
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parser.add_argument("--max-gen", type=int, default=1024, help="max")
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| 181 |
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opt = parser.parse_args()
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| 183 |
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soundfont_path = "SGM-v2.01-YamahaGrand-Guit-Bass-v2.7.sf2"
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| 185 |
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meta_data_path = "Giant_Music_Transformer_Aux_Data.pickle"
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| 186 |
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print('Loading meta-data...')
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with open(meta_data_path, 'rb') as f:
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AUX_DATA = pickle.load(f)
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| 190 |
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print('Done!')
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app = gr.Blocks()
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with app:
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gr.Markdown("<h1 style='text-align: center; margin-bottom: 1rem'>Advanced MIDI Search</h1>")
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gr.Markdown("<h1 style='text-align: center; margin-bottom: 1rem'>Search and explore 179k+ MIDI titles</h1>")
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gr.Markdown("\n\n"
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"Giant Music Transformer Aux Data Demo\n\n"
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"Please see [Giant Music Transformer](https://github.com/asigalov61/Giant-Music-Transformer) for more information and features\n\n"
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"[Open In Colab]"
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"(https://colab.research.google.com/github/asigalov61/Giant-Music-Transformer/blob/main/Giant_Music_Transformer_TTM.ipynb)"
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" for all features"
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)
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title = gr.Textbox(label="Desired Song Title", value="Family Guy")
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artist = gr.Textbox(label="Desired Song Artist", value="TV Themes")
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submit = gr.Button()
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gr.Markdown("# Search results")
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output_midi_seq = gr.Textbox(label="Found MIDI search title")
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output_audio = gr.Audio(label="Output MIDI search sample audio", format="mp3", elem_id="midi_audio")
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output_plot = gr.Plot(label="Output MIDI search sample plot")
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output_midi = gr.File(label="Output MIDI search sample MIDI", file_types=[".mid"])
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run_event = submit.click(find_midi, [title, artist],
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[output_midi_seq, output_midi, output_audio, output_plot])
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app.queue(1).launch(server_port=opt.port, share=opt.share, inbrowser=True)
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