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Update app.py
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app.py
CHANGED
@@ -65,12 +65,8 @@ with gr.Blocks(title="🎹 MIDI-AudioLDM", theme=gr.themes.Base(text_size=gr.the
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with gr.Column(variant='panel'):
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midi = gr.File(label="midi file", file_types=[".mid"])
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prompt = gr.Textbox(label="prompt", info="Enter a descriptive text prompt to guide the audio generation.")
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midi_synth = gr.Audio(label="synthesized midi")
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midi.upload(synthesize, midi, midi_synth)
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with gr.Column():
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audio = gr.Audio(label="generated audio")
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with gr.Accordion("Advanced Settings", open=False):
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duration = gr.Slider(0, 30, value=10, step=2.5, label="duration", info="Modify the duration in seconds of the output audio file.")
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inf = gr.Slider(0, 50, value=20, step=1, label="inference steps", info="Edit the number of denoising steps. A larger number usually leads to higher quality but slower results.")
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@@ -80,6 +76,8 @@ with gr.Blocks(title="🎹 MIDI-AudioLDM", theme=gr.themes.Base(text_size=gr.the
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cond = gr.Slider(0.0, 1.0, value=1.0, step=0.1, label="conditioning scale", info="Choose a value between 0 and 1. The larger the more it will take the conditioning into account. Lower values are recommended for more creative prompts.")
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guess = gr.Checkbox(label="guess mode", info="Optionally select guess mode. If so, the model will try to recognize the content of the MIDI without the need of a text prompt.")
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btn = gr.Button("Generate")
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btn.click(predict, inputs=[midi, prompt, neg_prompt, duration, seed, cond, inf, guidance_scale, guess], outputs=[audio])
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gr.Examples(examples=[["S00.mid", "piano", "", 10, 25, 1.0, 20, 2.5, False], ["S00.mid", "violin", "", 10, 25, 1.0, 20, 2.5, False], ["S00.mid", "woman singing, studio recording", "noise", 10, 25, 1.0, 20, 2.5, False], ["S00.mid", "jazz band, clean", "noise", 10, 25, 0.8, 20, 2.5, False], ["S00.mid", "choir", "noise, percussion", 10, 25, 0.7, 20, 2.5, False]], inputs=[midi, prompt, neg_prompt, duration, seed, cond, inf, guidance_scale, guess], fn=run_example, outputs=[midi_synth, audio], cache_examples=True)
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with gr.Column(variant='panel'):
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midi = gr.File(label="midi file", file_types=[".mid"])
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prompt = gr.Textbox(label="prompt", info="Enter a descriptive text prompt to guide the audio generation.")
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midi_synth = gr.Audio(label="synthesized midi")
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midi.upload(synthesize, midi, midi_synth)
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with gr.Accordion("Advanced Settings", open=False):
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duration = gr.Slider(0, 30, value=10, step=2.5, label="duration", info="Modify the duration in seconds of the output audio file.")
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inf = gr.Slider(0, 50, value=20, step=1, label="inference steps", info="Edit the number of denoising steps. A larger number usually leads to higher quality but slower results.")
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cond = gr.Slider(0.0, 1.0, value=1.0, step=0.1, label="conditioning scale", info="Choose a value between 0 and 1. The larger the more it will take the conditioning into account. Lower values are recommended for more creative prompts.")
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guess = gr.Checkbox(label="guess mode", info="Optionally select guess mode. If so, the model will try to recognize the content of the MIDI without the need of a text prompt.")
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btn = gr.Button("Generate")
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with gr.Column(variant='panel'):
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audio = gr.Audio(label="generated audio")
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btn.click(predict, inputs=[midi, prompt, neg_prompt, duration, seed, cond, inf, guidance_scale, guess], outputs=[audio])
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gr.Examples(examples=[["S00.mid", "piano", "", 10, 25, 1.0, 20, 2.5, False], ["S00.mid", "violin", "", 10, 25, 1.0, 20, 2.5, False], ["S00.mid", "woman singing, studio recording", "noise", 10, 25, 1.0, 20, 2.5, False], ["S00.mid", "jazz band, clean", "noise", 10, 25, 0.8, 20, 2.5, False], ["S00.mid", "choir", "noise, percussion", 10, 25, 0.7, 20, 2.5, False]], inputs=[midi, prompt, neg_prompt, duration, seed, cond, inf, guidance_scale, guess], fn=run_example, outputs=[midi_synth, audio], cache_examples=True)
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