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  This project implements a GPT-2 based model for generating MIDI music sequences
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  using deep learning. The model is trained on MIDI files from the MAESTRO
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  dataset, converted to a special JSON format. The model uses HuggingFace's
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- transformers library for training.
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- Select a composer from the drop down and let the model create a unique musical sequence in their style.
 
 
 
 
 
 
 
 
 
 
 
 
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  This project implements a GPT-2 based model for generating MIDI music sequences
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  using deep learning. The model is trained on MIDI files from the MAESTRO
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  dataset, converted to a special JSON format. The model uses HuggingFace's
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+ transformers library for training.
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+
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+ Select a composer from the dropdown and click generate music. This will initiate the
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+ generation. and produce a short musical clip which can be downloaded. If the song is
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+ to your liking, click continue sequence, which will add about 10 seconds to the song.
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+ This continue process can be repeated to extend the song as much as you'd like. If the
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+ initial sequence isn't inspiring, click generate music to start again and create a new
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+ initial sequence.
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+
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+ Some post processing on the generated sequence is done to ensure a
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+ properly formatted midi file, however the model occasionally produces a file that
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+ cannot be interpretted for playback. If this happens, simply begin again by clicking
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+ generate music.