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Runtime error
floriangardin
commited on
Commit
•
d878645
1
Parent(s):
4b77a87
add examples with app
Browse files- .gitignore +3 -2
- app.py +69 -42
- flagged/log.csv +0 -2
.gitignore
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@@ -2,6 +2,7 @@
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.idea/
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*.mid
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venv/
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*.mid
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*.wav
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.idea/
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*.mid
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venv/
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*.wav
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!examples/
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*.mp3
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gradio_cached_examples/
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app.py
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@@ -6,16 +6,14 @@ import os
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import tempfile
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def inner_loop(
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top_p = 0.98
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seed = 0
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print(midi_file)
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# Initialize the MusicLangPredictor
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ml = MusicLangPredictor('musiclang/musiclang-v2')
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tempo_message = "" # Default message if no MIDI file is uploaded
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time_signature = (4, 4)
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if midi_file is not None:
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# Load the MIDI file and use it as the score prompt
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filepath = midi_file
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start_bar, end_bar = map(int, bar_range.split("-"))
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@@ -76,47 +74,76 @@ def inner_loop(nb_tokens, temperature, chord_progression, tempo, midi_file, bar_
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return mp3_path, midi_path, chord_repr, tempo_message
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def musiclang(
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exception = None
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mp3_path, midi_path, chord_repr, tempo_message = None, None, None, ""
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try:
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mp3_path, midi_path, chord_repr, tempo_message = inner_loop(
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midi_file, bar_range)
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except Exception as e:
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exception = "Error : " + e.__class__.__name__ + " " + str(e)
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# Return the MP3 path for Gradio to display and the MIDI file path for download
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return mp3_path, midi_path,
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import tempfile
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def inner_loop(midi_file, chord_progression, tempo, temperature, nb_tokens, bar_range):
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top_p = 0.98
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seed = 0
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# Initialize the MusicLangPredictor
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ml = MusicLangPredictor('musiclang/musiclang-v2')
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tempo_message = "" # Default message if no MIDI file is uploaded
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time_signature = (4, 4)
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if midi_file is not None and midi_file != "":
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# Load the MIDI file and use it as the score prompt
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filepath = midi_file
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start_bar, end_bar = map(int, bar_range.split("-"))
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return mp3_path, midi_path, chord_repr, tempo_message
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def musiclang(midi_file, chord_progression, tempo, temperature, nb_tokens, bar_range):
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exception = None
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mp3_path, midi_path, chord_repr, tempo_message = None, None, None, ""
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try:
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mp3_path, midi_path, chord_repr, tempo_message = inner_loop(midi_file, chord_progression, tempo, temperature, nb_tokens, bar_range)
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except Exception as e:
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exception = "Error : " + e.__class__.__name__ + " " + str(e)
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# Return the MP3 path for Gradio to display and the MIDI file path for download
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return mp3_path, midi_path, exception
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with gr.Blocks() as demo:
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# Introductory text
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gr.Markdown("""
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# Controllable Symbolic Music Generation with MusicLang Predict
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[MusicLang Predict](https://github.com/musiclang/musiclang_predict) offers advanced controllability features and high-quality music generation by manipulating symbolic music.
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You can for example use it to continue your composition with a specific chord progression.
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""")
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with gr.Row():
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with gr.Column():
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with gr.Row():
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midi_file = gr.File(label="Prompt MIDI File (Optional)", type="filepath", file_types=[".mid", ".midi"],
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elem_id='midi_file_input')
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with gr.Column():
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bar_range = gr.Textbox(label="Bar Range of input file (eg: 0-4 for first four bars)", placeholder="0-4",
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value="0-4", elem_id='bar_range_input')
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nb_tokens = gr.Number(label="Nb Tokens",
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value=512, minimum=256, maximum=2048, step=256, elem_id='nb_tokens_input')
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temperature = gr.Slider(
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label="Temperature",
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value=0.95,
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visible=False,
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minimum=0.1, maximum=1.0, step=0.1, elem_id='temperature_input')
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tempo = gr.Slider(label="Tempo", value=120, minimum=60, maximum=240, step=1, elem_id='tempo_input')
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with gr.Row():
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chord_progression = gr.Textbox(
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label="Chord Progression (Optional)",
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placeholder="Am CM Dm7/F E7 Asus4", lines=2, value="", elem_id='chord_progression_input')
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with gr.Row():
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generate_btn = gr.Button("Generate", elem_id='generate_button')
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with gr.Column():
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info_message = gr.Textbox(label="Info Message", elem_id='info_message_output')
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generated_music = gr.Audio(label="Preview generated Music", elem_id='generated_music_output')
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generated_midi = gr.File(label="Download MIDI", elem_id='generated_midi_output')
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generate_btn.click(
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fn=musiclang,
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inputs=[midi_file, chord_progression, tempo, temperature, nb_tokens, bar_range],
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outputs=[generated_music, generated_midi, info_message]
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)
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with gr.Row():
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with gr.Column():
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gr.Markdown("## Examples")
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gr.Examples(
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examples=[["examples/Bach_847.mid", "", 120, 0.95, 512, "0-4"],
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["examples/Bach_847.mid", "Cm C7/E Fm F#dim G7", 120, 0.95, 512, "0-4"],
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["examples/Boney_m_ma_baker.mid", "", 120, 0.95, 512, "0-4"],
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["examples/Eminem_slim_shady.mid", "Cm AbM BbM G7 Cm", 120, 0.95, 512, "0-4"],
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["examples/Mozart_alla_turca.mid", "", 120, 0.95, 512, "0-4"],
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["examples/Mozart_alla_turca.mid", "Am Em CM G7 E7 Am Am E7 Am", 120, 0.95, 512, "0-4"],
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["examples/Daft_punk_Around_the_world.mid", "", 120, 0.95, 512, "0-4"],
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],
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inputs=[midi_file, chord_progression, tempo, temperature, nb_tokens, bar_range],
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outputs=[generated_music, generated_midi, info_message],
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fn=musiclang,
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cache_examples=True,
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)
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demo.launch()
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flagged/log.csv
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@@ -1,2 +0,0 @@
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Number of Tokens,Temperature,Chord Progression,Tempo,Upload MIDI File,Bar Range,Generated Music,Download MIDI,Inferred output Chord Progression,Info Message,flag,username,timestamp
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1024,0.9,,120,,0-4,"{""path"":""flagged/Generated Music/40e8a82a91668a20d35d/result.mp3"",""url"":""http://127.0.0.1:7860/file=/private/var/folders/52/q1zgqdvj1818brk2d_kw0stw0000gn/T/gradio/3926f3a3196bf0f0bbc8f54a4a464fa74a066dd9/result.mp3"",""size"":null,""orig_name"":""result.mp3"",""mime_type"":null,""is_stream"":false}","{""path"":""flagged/Download MIDI/1f6e813973ef7da5a542/test.mid"",""url"":""http://127.0.0.1:7860/file=/private/var/folders/52/q1zgqdvj1818brk2d_kw0stw0000gn/T/gradio/450e7e4a544b0fb7d114e7d3eadff382988e612b/test.mid"",""size"":2490,""orig_name"":""test.mid"",""mime_type"":null,""is_stream"":false}",Em CM Bm7b5/A Em GM Am Em/B Em GM Am Em/B Em GM Am Em/B Em GM Am Em/B Em GM Am Em/B Em Bm CM Em Em Bm CM Em GM Am Em/B Em GM Am Em/B Em GM Am Em/B,,,,2024-03-04 18:20:18.251715
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