Upload app.py
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app.py
CHANGED
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@@ -1,12 +1,12 @@
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#==================================================================================
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# https://huggingface.co/spaces/asigalov61/
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#==================================================================================
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print('=' * 70)
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print('
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print('=' * 70)
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print('Loading core
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import os
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from pytz import timezone
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print('=' * 70)
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print('Loading main
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os.environ['USE_FLASH_ATTENTION'] = '1'
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@@ -40,7 +40,7 @@ from x_transformer_1_23_2 import *
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import random
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print('=' * 70)
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print('Loading aux
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import matplotlib.pyplot as plt
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@@ -244,13 +244,13 @@ def save_midi(tokens, batch_number=None):
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patches = [0 if x==-1 else x for x in patches]
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if batch_number == None:
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fname = '
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else:
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fname = '
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data = TMIDIX.Tegridy_ms_SONG_to_MIDI_Converter(song_f,
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output_signature = '
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output_file_name = fname,
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track_name='Project Los Angeles',
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list_of_MIDI_patches=patches,
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@@ -382,7 +382,7 @@ def generate_callback(input_midi,
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)
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# File name
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fname = '
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# Save audio to a temporary file
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midi_audio = midi_to_colab_audio(fname + '.mid',
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@@ -467,12 +467,12 @@ def add_batch(batch_number, final_composition, generated_batches, block_lines):
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# MIDI plot
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midi_plot = TMIDIX.plot_ms_SONG(midi_score,
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plot_title='
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block_lines_times_list=block_lines[:-1],
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return_plt=True)
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# File name
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fname = '
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# Save audio to a temporary file
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midi_audio = midi_to_colab_audio(fname + '.mid',
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@@ -504,12 +504,12 @@ def remove_batch(batch_number, num_tokens, final_composition, generated_batches,
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# MIDI plot
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midi_plot = TMIDIX.plot_ms_SONG(midi_score,
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plot_title='
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block_lines_times_list=block_lines[:-1],
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return_plt=True)
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# File name
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fname = '
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# Save audio to a temporary file
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midi_audio = midi_to_colab_audio(fname + '.mid',
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@@ -556,16 +556,16 @@ with gr.Blocks() as demo:
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demo.load(reset_demo)
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gr.Markdown("<h1 style='text-align: center; margin-bottom: 1rem'>
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gr.Markdown("<h1 style='text-align: center; margin-bottom: 1rem'>
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gr.HTML("""
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Check out <a href="https://github.com/asigalov61/
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<p>
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<a href="https://colab.research.google.com/github/asigalov61/
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<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab">
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</a> or
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<a href="https://huggingface.co/spaces/asigalov61/
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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/asigalov61/Monster-Piano-Transformer
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#==================================================================================
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print('=' * 70)
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print('Monster Piano Transformer Gradio App')
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print('=' * 70)
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print('Loading core Monster Piano Transformer modules...')
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import os
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from pytz import timezone
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print('=' * 70)
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print('Loading main Monster Piano Transformer modules...')
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os.environ['USE_FLASH_ATTENTION'] = '1'
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import random
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print('=' * 70)
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print('Loading aux Monster Piano Transformer modules...')
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import matplotlib.pyplot as plt
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patches = [0 if x==-1 else x for x in patches]
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if batch_number == None:
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fname = 'Monster-Piano-Transformer-Music-Composition'
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else:
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fname = 'Monster-Piano-Transformer-Music-Composition_'+str(batch_number)
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data = TMIDIX.Tegridy_ms_SONG_to_MIDI_Converter(song_f,
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output_signature = 'Monster Piano Transformer',
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output_file_name = fname,
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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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# File name
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fname = 'Monster-Piano-Transformer-Music-Composition_'+str(i)
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# Save audio to a temporary file
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midi_audio = midi_to_colab_audio(fname + '.mid',
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# MIDI plot
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midi_plot = TMIDIX.plot_ms_SONG(midi_score,
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plot_title='Monster Piano Transformer Composition',
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block_lines_times_list=block_lines[:-1],
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return_plt=True)
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# File name
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fname = 'Monster-Piano-Transformer-Music-Composition'
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# Save audio to a temporary file
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midi_audio = midi_to_colab_audio(fname + '.mid',
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# MIDI plot
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midi_plot = TMIDIX.plot_ms_SONG(midi_score,
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plot_title='Monster Piano Transformer Composition',
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block_lines_times_list=block_lines[:-1],
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return_plt=True)
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# File name
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fname = 'Monster-Piano-Transformer-Music-Composition'
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# Save audio to a temporary file
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midi_audio = midi_to_colab_audio(fname + '.mid',
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demo.load(reset_demo)
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gr.Markdown("<h1 style='text-align: center; margin-bottom: 1rem'>Monster Piano Transformer</h1>")
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gr.Markdown("<h1 style='text-align: center; margin-bottom: 1rem'>Ultra-fast and very well fitted solo Piano music transformer</h1>")
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gr.HTML("""
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Check out <a href="https://github.com/asigalov61/monsterpianotransformer">Monster Piano Transformer</a> on GitHub!
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<p>
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<a href="https://colab.research.google.com/github/asigalov61/Monster-Piano-Transformer/blob/main/Giant_Music_Transformer.ipynb">
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<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab">
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</a> or
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<a href="https://huggingface.co/spaces/asigalov61/Monster-Piano-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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