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e12c7d6
1
Parent(s):
9edb478
Update app.py
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app.py
CHANGED
@@ -1,4 +1,7 @@
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import note_seq
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("TristanBehrens/js-fakes-4bars")
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@@ -116,14 +119,16 @@ def process(text):
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note_sequence = token_sequence_to_note_sequence(generated_sequence)
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synth = note_seq.midi_synth.synthesize
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array_of_floats = synth(note_sequence, sample_rate=SAMPLE_RATE)
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-
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title = "Music generation with GPT-2"
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iface = gr.Interface(
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fn=process,
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inputs=[gr.inputs.Textbox(placeholder="PIECE_START")],
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outputs='audio',
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title=title,
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examples=[["PIECE_START"], ["PIECE_START STYLE=JSFAKES GENRE=JSFAKES TRACK_START INST=48 BAR_START NOTE_ON=61"]]
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)
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import gradio as gr
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import note_seq
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from bokeh.embed import file_html
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("TristanBehrens/js-fakes-4bars")
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note_sequence = token_sequence_to_note_sequence(generated_sequence)
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synth = note_seq.midi_synth.synthesize
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array_of_floats = synth(note_sequence, sample_rate=SAMPLE_RATE)
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note_plot = note_seq.plot_sequence(note_sequence)
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html = file_html(note_plot)
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return (SAMPLE_RATE, array_of_floats), html
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title = "Music generation with GPT-2"
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iface = gr.Interface(
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fn=process,
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inputs=[gr.inputs.Textbox(placeholder="PIECE_START")],
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outputs=['audio', 'html'],
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title=title,
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examples=[["PIECE_START"], ["PIECE_START STYLE=JSFAKES GENRE=JSFAKES TRACK_START INST=48 BAR_START NOTE_ON=61"]]
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)
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