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Upload app.py

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  1. app.py +10 -10
app.py CHANGED
@@ -1,12 +1,12 @@
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  #============================================================================================
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- # https://huggingface.co/spaces/projectlosangeles/Orpheus-Drums-Transformer
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  #============================================================================================
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  print('=' * 70)
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- print('Orpheus Drums Transformer Gradio App')
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  print('=' * 70)
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- print('Loading core Orpheus Drums Transformer modules...')
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  import os
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  import copy
@@ -16,7 +16,7 @@ import datetime
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  from pytz import timezone
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  print('=' * 70)
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- print('Loading main Orpheus Drums Transformer modules...')
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  os.environ['USE_FLASH_ATTENTION'] = '1'
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@@ -40,7 +40,7 @@ import random
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  import tqdm
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  print('=' * 70)
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- print('Loading aux Orpheus Drums Transformer modules...')
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  import matplotlib.pyplot as plt
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@@ -335,10 +335,10 @@ def Generate_Drums(input_midi,
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  output_score, patches, overflow_patches = TMIDIX.patch_enhanced_score_notes(song_f)
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- fn1 = "Orpheus-Drums-Transformer-Composition"
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  detailed_stats = TMIDIX.Tegridy_ms_SONG_to_MIDI_Converter(output_score,
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- output_signature = 'Orpheus Drums Transformer',
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  output_file_name = fn1,
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  track_name='Project Los Angeles',
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  list_of_MIDI_patches=patches
@@ -395,11 +395,11 @@ with gr.Blocks() as demo:
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  #==================================================================================
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- gr.Markdown("<h1 style='text-align: left; margin-bottom: 1rem'>Orpheus Drums Transformer</h1>")
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- gr.Markdown("<h1 style='text-align: left; margin-bottom: 1rem'>Inpaint drum track with Orpheus Music Transformer</h1>")
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  gr.HTML("""
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  <p>
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- <a href="https://huggingface.co/spaces/projectlosangeles/Orpheus-Drums-Transformer?duplicate=true">
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  <img src="https://huggingface.co/datasets/huggingface/badges/resolve/main/duplicate-this-space-md.svg" alt="Duplicate in Hugging Face">
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  </a>
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  </p>
 
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  #============================================================================================
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+ # https://huggingface.co/spaces/projectlosangeles/Orpheus-Humanizing-Transformer
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  #============================================================================================
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  print('=' * 70)
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+ print('Orpheus Humanizing Transformer Gradio App')
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  print('=' * 70)
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+ print('Loading core Orpheus Humanizing Transformer modules...')
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  import os
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  import copy
 
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  from pytz import timezone
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  print('=' * 70)
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+ print('Loading main Orpheus Humanizing Transformer modules...')
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  os.environ['USE_FLASH_ATTENTION'] = '1'
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  import tqdm
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  print('=' * 70)
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+ print('Loading aux Orpheus Humanizing Transformer modules...')
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  import matplotlib.pyplot as plt
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  output_score, patches, overflow_patches = TMIDIX.patch_enhanced_score_notes(song_f)
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+ fn1 = "Orpheus-Humanizing-Transformer-Composition"
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  detailed_stats = TMIDIX.Tegridy_ms_SONG_to_MIDI_Converter(output_score,
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+ output_signature = 'Orpheus Humanizing Transformer',
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  output_file_name = fn1,
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  track_name='Project Los Angeles',
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  list_of_MIDI_patches=patches
 
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  #==================================================================================
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+ gr.Markdown("<h1 style='text-align: left; margin-bottom: 1rem'>Orpheus Humanizing Transformer</h1>")
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+ gr.Markdown("<h1 style='text-align: left; margin-bottom: 1rem'>Humanize durations and/or velocities in any MIDI score</h1>")
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  gr.HTML("""
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  <p>
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+ <a href="https://huggingface.co/spaces/projectlosangeles/Orpheus-Humanizing-Transformer?duplicate=true">
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  <img src="https://huggingface.co/datasets/huggingface/badges/resolve/main/duplicate-this-space-md.svg" alt="Duplicate in Hugging Face">
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  </a>
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  </p>