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Running on Zero
Running on Zero
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9ae6560 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 | from __future__ import annotations
import uuid
from pathlib import Path
from tempfile import gettempdir
import gradio as gr
try:
import spaces
except ImportError:
class spaces:
class GPU:
def __init__(self, func=None, duration=120):
self.func = func
def __call__(self, *args, **kwargs):
if self.func is not None:
return self.func(*args, **kwargs)
return args[0]
from pyharp import ModelCard, build_endpoint
from midi_gpt_runtime import rewrite_bars
OUTPUT_ROOT = Path(gettempdir()) / "midi_gpt_outputs"
model_card = ModelCard(
name="MIDI-GPT",
description=(
"Rewrite selected bars in a multitrack MIDI arrangement while "
"preserving the rest of the composition."
),
author="Metacreation Lab",
tags=[
"music-generation",
"symbolic-music",
"midi",
"music-editing",
"multitrack",
],
)
@spaces.GPU(duration=120)
def process_fn(
midi_path: str | None,
track_index: float,
start_bar: float,
bar_count: str,
temperature: float,
top_p: float,
seed: float,
polyphony_limit: float,
) -> tuple[str, dict]:
if not midi_path:
raise gr.Error("Please upload a MIDI file.")
source = Path(midi_path)
if source.suffix.lower() not in {".mid", ".midi"}:
raise gr.Error("The input must be a .mid or .midi file.")
output_dir = OUTPUT_ROOT / uuid.uuid4().hex
output_path = output_dir / f"{source.stem}-rewritten.mid"
try:
details = rewrite_bars(
input_path=source,
output_path=output_path,
track_index=int(track_index),
start_bar=int(start_bar),
bar_count=int(bar_count),
temperature=float(temperature),
top_p=float(top_p),
seed=int(seed),
polyphony_limit=int(polyphony_limit),
)
except Exception as exc:
raise gr.Error(f"MIDI-GPT inference failed: {exc}") from exc
return str(output_path), details
with gr.Blocks(title="MIDI-GPT") as demo:
input_components = [
gr.File(
type="filepath",
file_types=[".mid", ".midi"],
label="Input MIDI",
)
.harp_required(True)
.set_info("A multitrack MIDI file containing at least four bars."),
gr.Number(
value=0,
minimum=0,
precision=0,
label="Track Index",
info="Zero-based index of the track to rewrite.",
),
gr.Number(
value=0,
minimum=0,
precision=0,
label="Start Bar",
info="Zero-based index of the first bar to rewrite.",
),
gr.Dropdown(
choices=["1", "2", "4"],
value="2",
label="Number of Bars",
info="Number of consecutive bars to rewrite.",
),
gr.Slider(
minimum=0.5,
maximum=1.5,
step=0.1,
value=1.0,
label="Temperature",
info="Higher values produce more varied results.",
),
gr.Slider(
minimum=0.5,
maximum=1.0,
step=0.05,
value=0.95,
label="Top-p",
info="Nucleus sampling threshold.",
),
gr.Number(
value=0,
minimum=0,
maximum=2_147_483_647,
precision=0,
label="Seed",
info="Use the same seed and controls to reproduce a result.",
),
gr.Slider(
minimum=0,
maximum=12,
step=1,
value=0,
label="Maximum Polyphony",
info="Maximum simultaneous notes; 0 leaves it unrestricted.",
),
]
output_components = [
gr.File(
type="filepath",
file_types=[".mid", ".midi"],
label="Rewritten MIDI",
).set_info("Editable multitrack MIDI with the selected bars replaced."),
gr.JSON(label="Generation Details"),
]
build_endpoint(
model_card=model_card,
input_components=input_components,
output_components=output_components,
process_fn=process_fn,
)
if __name__ == "__main__":
demo.queue(default_concurrency_limit=1).launch(
show_error=True,
pwa=True,
)
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