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from pathlib import Path
from typing import Tuple
import yaml
import numpy as np
import audiotools as at
import argbind
import gradio as gr
from vampnet.interface import Interface
conf = yaml.safe_load(Path("conf/interface-jazzpop-exp.yml").read_text())
Interface = argbind.bind(Interface)
AudioLoader = argbind.bind(at.data.datasets.AudioLoader)
with argbind.scope(conf):
interface = Interface()
loader = AudioLoader()
dataset = at.data.datasets.AudioDataset(
loader,
sample_rate=interface.codec.sample_rate,
duration=interface.coarse.chunk_size_s,
n_examples=5000,
without_replacement=True,
)
def load_audio(file):
print(file)
filepath = file.name
sig = at.AudioSignal.salient_excerpt(
filepath,
duration=interface.coarse.chunk_size_s
)
sig = interface.preprocess(sig)
audio = sig.samples.numpy()[0]
sr = sig.sample_rate
return sr, audio.T
def load_random_audio():
index = np.random.randint(0, len(dataset))
sig = dataset[index]["signal"]
sig = interface.preprocess(sig)
audio = sig.samples.numpy()[0]
sr = sig.sample_rate
return sr, audio.T
def vamp(
input_audio, prefix_s, suffix_s, rand_mask_intensity,
mask_periodic_amt, beat_unmask_dur,
mask_dwn_chk, dwn_factor,
mask_up_chk, up_factor,
num_vamps, mode
):
try:
print(input_audio)
sig = at.AudioSignal(
input_audio[1],
sample_rate=input_audio[0]
)
if beat_unmask_dur > 0.0:
beat_mask = interface.make_beat_mask(
sig,
before_beat_s=0.01,
after_beat_s=beat_unmask_dur,
mask_downbeats=mask_dwn_chk,
mask_upbeats=mask_up_chk,
downbeat_downsample_factor=dwn_factor,
beat_downsample_factor=up_factor,
dropout=0.7,
invert=True
)
else:
beat_mask = None
if mode == "standard":
zv = interface.coarse_vamp_v2(
sig,
prefix_dur_s=prefix_s,
suffix_dur_s=suffix_s,
num_vamps=num_vamps,
downsample_factor=mask_periodic_amt,
intensity=rand_mask_intensity,
ext_mask=beat_mask
)
elif mode == "loop":
zv = interface.loop(
zv,
prefix_dur_s=prefix_s,
suffix_dur_s=suffix_s,
num_loops=num_vamps,
downsample_factor=mask_periodic_amt,
intensity=rand_mask_intensity,
ext_mask=beat_mask
)
zv = interface.coarse_to_fine(zv)
sig = interface.to_signal(zv)
return sig.sample_rate, sig.samples[0].T
except Exception as e:
raise gr.Error(f"failed with error: {e}")
with gr.Blocks() as demo:
gr.Markdown('# Vampnet')
with gr.Row():
# input audio
with gr.Column():
gr.Markdown("## Input Audio")
manual_audio_upload = gr.File(
label=f"upload some audio (will be randomly trimmed to max of {interface.coarse.chunk_size_s:.2f}s)",
file_types=["audio"]
)
load_random_audio_button = gr.Button("or load random audio")
input_audio = gr.Audio(
label="input audio",
interactive=False,
)
input_audio_viz = gr.HTML(
label="input audio",
)
# connect widgets
load_random_audio_button.click(
fn=load_random_audio,
inputs=[],
outputs=[ input_audio]
)
manual_audio_upload.change(
fn=load_audio,
inputs=[manual_audio_upload],
outputs=[ input_audio]
)
# mask settings
with gr.Column():
gr.Markdown("## Mask Settings")
prefix_s = gr.Slider(
label="prefix length (seconds)",
minimum=0.0,
maximum=10.0,
value=0.0
)
suffix_s = gr.Slider(
label="suffix length (seconds)",
minimum=0.0,
maximum=10.0,
value=0.0
)
rand_mask_intensity = gr.Slider(
label="random mask intensity (lower means more freedom)",
minimum=0.0,
maximum=1.0,
value=1.0
)
mask_periodic_amt = gr.Slider(
label="periodic unmasking factor (higher means more freedom)",
minimum=0,
maximum=32,
step=1,
value=2,
)
compute_mask_button = gr.Button("compute mask")
mask_output = gr.Audio(
label="masked audio",
interactive=False,
visible=False
)
mask_output_viz = gr.Video(
label="masked audio",
interactive=False
)
with gr.Column():
gr.Markdown("## Beat Unmasking")
with gr.Accordion(label="beat unmask"):
beat_unmask_dur = gr.Slider(
label="duration",
minimum=0.0,
maximum=3.0,
value=0.1
)
with gr.Accordion("downbeat settings"):
mask_dwn_chk = gr.Checkbox(
label="unmask downbeats",
value=True
)
dwn_factor = gr.Slider(
label="downbeat downsample factor (unmask every Nth downbeat)",
value=1,
minimum=1,
maximum=16,
step=1
)
with gr.Accordion("upbeat settings"):
mask_up_chk = gr.Checkbox(
label="unmask upbeats",
value=True
)
up_factor = gr.Slider(
label="upbeat downsample factor (unmask every Nth upbeat)",
value=1,
minimum=1,
maximum=16,
step=1
)
# process and output
with gr.Row():
with gr.Column():
gr.Markdown("**NOTE**: for loop mode, both prefix and suffix must be greater than 0.")
mode = gr.Radio(
label="mode",
choices=["standard", "loop"],
value="standard"
)
num_vamps = gr.Number(
label="number of vamps",
value=1,
precision=0
)
vamp_button = gr.Button("vamp")
output_audio = gr.Audio(
label="output audio",
interactive=False,
visible=False
)
# connect widgets
vamp_button.click(
fn=vamp,
inputs=[input_audio,
prefix_s, suffix_s, rand_mask_intensity,
mask_periodic_amt, beat_unmask_dur,
mask_dwn_chk, dwn_factor,
mask_up_chk, up_factor,
num_vamps, mode
],
outputs=[output_audio]
)
demo.launch(share=True, server_name="0.0.0.0") |