Spaces:
Sleeping
Sleeping
Hugo Flores Garcia
commited on
Commit
•
e32ae3e
1
Parent(s):
e2a08a9
lac :(
Browse files- .gitignore +0 -1
- app.py +141 -48
- scripts/exp/train.py +2 -1
- vampnet/interface.py +2 -1
.gitignore
CHANGED
@@ -131,7 +131,6 @@ dmypy.json
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output/
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snapshot/
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*.m4a
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*.wav
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notebooks/scratch.ipynb
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notebooks/inspect.ipynb
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notebooks/effects.ipynb
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output/
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snapshot/
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*.m4a
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notebooks/scratch.ipynb
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notebooks/inspect.ipynb
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notebooks/effects.ipynb
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app.py
CHANGED
@@ -176,6 +176,23 @@ def save_vamp(data):
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with gr.Blocks() as demo:
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with gr.Row():
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with gr.Column():
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@@ -214,66 +231,142 @@ with gr.Blocks() as demo:
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# mask settings
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with gr.Column():
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periodic_p = gr.Slider(
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label="periodic prompt (0.0 means no prompt, 2 - lots of hints, 8 - a couple of hints, 16 - occasional hint, 32 - very occasional hint, etc)",
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minimum=0,
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maximum=128,
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step=1,
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value=3,
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)
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)
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label="beat mask downbeats only?",
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value=False
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)
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with gr.Accordion("extras ", open=False):
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rand_mask_intensity = gr.Slider(
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label="random mask intensity. (If this is less than 1, scatters prompts throughout the audio, should be between 0.9 and 1.0)",
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minimum=0.0,
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maximum=1.0,
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value=1.0
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)
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maximum=20,
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step=1,
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value=
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)
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n_conditioning_codebooks = gr.Number(
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label="number of conditioning codebooks. probably 0",
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value=0,
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precision=0,
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)
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label="
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minimum=0,
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maximum=
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)
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prefix_s = gr.Slider(
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label="prefix hint length (seconds)",
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minimum=0.0,
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@@ -290,7 +383,7 @@ with gr.Blocks() as demo:
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temp = gr.Slider(
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label="temperature",
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minimum=0.0,
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maximum=
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value=0.8
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)
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with gr.Blocks() as demo:
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with gr.Row():
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with gr.Column():
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gr.Markdown("# VampNet Audio Vamping")
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gr.Markdown("""## Description:
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This is a demo of the VampNet, a generative audio model that transforms the input audio based on the chosen settings.
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You can control the extent and nature of variation with a set of manual controls and presets.
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Use this interface to experiment with different mask settings and explore the audio outputs.
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""")
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gr.Markdown("""
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## Instructions:
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1. You can start by uploading some audio, or by loading the example audio.
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2. Choose a preset for the vamp operation, or manually adjust the controls to customize the mask settings.
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3. Click the "generate (vamp)!!!" button to apply the vamp operation. Listen to the output audio.
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4. Optionally, you can add some notes and save the result.
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5. You can also use the output as the new input and continue experimenting!
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""")
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with gr.Row():
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with gr.Column():
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# mask settings
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with gr.Column():
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presets = {
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"unconditional": {
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"periodic_p": 0,
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"onset_mask_width": 0,
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"beat_mask_width": 0,
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"beat_mask_downbeats": False,
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},
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"slight periodic variation": {
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"periodic_p": 5,
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"onset_mask_width": 0,
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"beat_mask_width": 0,
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"beat_mask_downbeats": False,
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},
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"moderate periodic variation": {
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"periodic_p": 5,
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"onset_mask_width": 5,
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"beat_mask_width": 0,
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"beat_mask_downbeats": False,
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},
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"strong periodic variation": {
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"periodic_p": 13,
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"onset_mask_width": 5,
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"beat_mask_width": 0,
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"beat_mask_downbeats": False,
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},
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"very strong periodic variation": {
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"periodic_p": 21,
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"onset_mask_width": 5,
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"beat_mask_width": 0,
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"beat_mask_downbeats": False,
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},
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"beat-driven variation": {
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"periodic_p": 0,
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"onset_mask_width": 0,
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"beat_mask_width": 50,
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"beat_mask_downbeats": False,
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},
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"beat-driven variation (downbeats only)": {
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"periodic_p": 0,
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"onset_mask_width": 0,
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"beat_mask_width": 50,
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"beat_mask_downbeats": True,
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},
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"beat-driven variation (downbeats only, strong)": {
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"periodic_p": 0,
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"onset_mask_width": 0,
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"beat_mask_width": 20,
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"beat_mask_downbeats": True,
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},
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}
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preset = gr.Dropdown(
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label="preset",
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choices=list(presets.keys()),
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value="strong periodic variation",
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)
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load_preset_button = gr.Button("load_preset")
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with gr.Accordion("manual controls", open=True):
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periodic_p = gr.Slider(
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label="periodic prompt (0 - unconditional, 2 - lots of hints, 8 - a couple of hints, 16 - occasional hint, 32 - very occasional hint, etc)",
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minimum=0,
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maximum=128,
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step=1,
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value=3,
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)
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onset_mask_width = gr.Slider(
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label="onset mask width (multiplies with the periodic mask, 1 step ~= 10milliseconds) ",
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minimum=0,
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maximum=20,
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step=1,
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value=5,
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)
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beat_mask_width = gr.Slider(
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label="beat mask width (in milliseconds)",
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minimum=0,
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maximum=200,
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value=0,
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)
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beat_mask_downbeats = gr.Checkbox(
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label="beat mask downbeats only?",
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value=False
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)
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with gr.Accordion("extras ", open=False):
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rand_mask_intensity = gr.Slider(
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label="random mask intensity. (If this is less than 1, scatters prompts throughout the audio, should be between 0.9 and 1.0)",
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minimum=0.0,
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maximum=1.0,
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value=1.0
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)
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periodic_w = gr.Slider(
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label="periodic prompt width (steps, 1 step ~= 10milliseconds)",
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minimum=1,
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maximum=20,
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step=1,
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value=1,
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)
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n_conditioning_codebooks = gr.Number(
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label="number of conditioning codebooks. probably 0",
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value=0,
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precision=0,
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)
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stretch_factor = gr.Slider(
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label="time stretch factor",
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minimum=0,
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maximum=64,
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step=1,
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value=1,
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)
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preset_outputs = {
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periodic_p,
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onset_mask_width,
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beat_mask_width,
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beat_mask_downbeats,
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}
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def load_preset(_preset):
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return tuple(presets[_preset].values())
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load_preset_button.click(
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fn=load_preset,
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inputs=[preset],
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outputs=preset_outputs
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)
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with gr.Accordion("prefix/suffix prompts", open=False):
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prefix_s = gr.Slider(
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label="prefix hint length (seconds)",
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minimum=0.0,
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temp = gr.Slider(
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label="temperature",
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minimum=0.0,
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maximum=10.0,
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value=0.8
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)
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scripts/exp/train.py
CHANGED
@@ -20,7 +20,8 @@ import vampnet
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from vampnet.modules.transformer import VampNet
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from vampnet.util import codebook_unflatten, codebook_flatten
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from vampnet import mask as pmask
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from dac.model.dac import DAC
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# Enable cudnn autotuner to speed up training
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from vampnet.modules.transformer import VampNet
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from vampnet.util import codebook_unflatten, codebook_flatten
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from vampnet import mask as pmask
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# from dac.model.dac import DAC
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from lac.model.lac import LAC as DAC
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# Enable cudnn autotuner to speed up training
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vampnet/interface.py
CHANGED
@@ -11,7 +11,8 @@ from .modules.transformer import VampNet
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from .beats import WaveBeat
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from .mask import *
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from dac.model.dac import DAC
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def signal_concat(
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from .beats import WaveBeat
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from .mask import *
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# from dac.model.dac import DAC
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from lac.model.lac import LAC as DAC
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def signal_concat(
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