Spaces:
Sleeping
Sleeping
File size: 4,756 Bytes
68eeeb5 1df078a 287431b 1df078a 287431b 1df078a 287431b 1df078a 287431b 1df078a 287431b 1df078a 287431b 1df078a 287431b 1df078a 287431b 1df078a 287431b 458a0e7 1df078a 287431b 1df078a 287431b 1df078a 287431b 1df078a 287431b 458a0e7 287431b 458a0e7 287431b 458a0e7 287431b 458a0e7 287431b 458a0e7 287431b 1df078a 287431b 1df078a 458a0e7 | 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 | """compare-codec — upload audio, pick codecs, hear reconstructions side by side."""
from __future__ import annotations
import time
from pathlib import Path
import gradio as gr
import numpy as np
from compare_codec import CodecConfig, get_all
from compare_codec.spectrogram import generate as make_spectrogram
MAX_DURATION_S = 30.0
def _encode_decode_one(
audio_path: Path, codec_name: str, cfg: CodecConfig
) -> tuple[np.ndarray, int, float]:
"""Run one codec config and return (audio_array, sample_rate, elapsed_seconds)."""
codec = get_all()[codec_name]
sr = cfg.params.get("sample_rate", codec.sample_rate)
t0 = time.perf_counter()
audio_out = codec.encode_decode(audio_path, cfg)
elapsed = time.perf_counter() - t0
max_samples = int(MAX_DURATION_S * sr)
if len(audio_out) > max_samples:
audio_out = audio_out[:max_samples]
return audio_out, sr, elapsed
def build_ui() -> gr.Blocks:
codecs = get_all()
with gr.Blocks(title="compare-codec") as demo:
gr.Markdown("# compare-codec")
audio_in = gr.Audio(
sources=["upload", "microphone"],
type="filepath",
label="Input audio",
)
run_btn = gr.Button("Reconstruct", variant="primary")
tab_components: dict[str, dict] = {}
with gr.Tabs():
for codec_name, codec in codecs.items():
configs = codec.configs()
config_labels = [c.name for c in configs]
with gr.Tab(label=codec_name) as tab:
config_dd = gr.Dropdown(
choices=config_labels,
value=config_labels[0],
label="Configuration",
)
audio_out = gr.Audio(
label="Reconstructed",
type="numpy",
interactive=False,
)
stats_md = gr.Markdown(value="*Upload audio to compare.*")
spec_img = gr.Image(
label="Spectrogram",
type="filepath",
interactive=False,
)
tab_components[codec_name] = {
"tab": tab,
"config_dd": config_dd,
"audio_out": audio_out,
"stats_md": stats_md,
"spec_img": spec_img,
"configs": configs,
"config_labels": config_labels,
}
active_tab = gr.State(value=list(codecs.keys())[0])
ordered_names = list(codecs.keys())
all_outputs = []
for name in ordered_names:
c = tab_components[name]
all_outputs.extend([c["audio_out"], c["stats_md"], c["spec_img"]])
def process_active(audio_path: str | None, current_tab: str, *dropdown_values):
"""Reconstruct only the active tab's codec."""
if audio_path is None:
return [gr.update()] * len(all_outputs)
dd_map = dict(zip(ordered_names, dropdown_values))
comps = tab_components[current_tab]
cfg_label = dd_map[current_tab]
cfg = next(c for c in comps["configs"] if c.name == cfg_label)
audio_out, sr, elapsed = _encode_decode_one(
Path(audio_path), current_tab, cfg
)
spec_path = make_spectrogram(audio_out, sr)
stats_text = (
f"**{elapsed:.2f}s** | "
f"{sr / 1000:.0f} kHz | "
f"{cfg_label}"
)
flat = []
for name in ordered_names:
if name == current_tab:
flat.extend(
[
gr.update(value=(sr, audio_out)),
gr.update(value=stats_text),
gr.update(value=str(spec_path)),
]
)
else:
flat.extend([gr.update(), gr.update(), gr.update()])
return flat
all_dropdowns = [tab_components[n]["config_dd"] for n in ordered_names]
btn_event = run_btn.click(
fn=process_active,
inputs=[audio_in, active_tab] + all_dropdowns,
outputs=all_outputs,
)
for codec_name, comps in tab_components.items():
comps["tab"].select(
fn=lambda name=codec_name: name,
inputs=[],
outputs=[active_tab],
)
return demo
demo = build_ui()
if __name__ == "__main__":
demo.launch()
|