Download toolkit/audio/album_artwork.py from michaelu0826/ai_toolkit_code: direct link, hf CLI and curl.
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https://huggingface.co/datasets/michaelu0826/ai_toolkit_code/resolve/main/toolkit/audio/album_artwork.py
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3.44 kB
| import io | |
| import os | |
| import numpy as np | |
| import av | |
| from PIL import Image, ImageDraw | |
| ARTWORK_DIR = os.path.dirname(os.path.abspath(__file__)) | |
| BACKGROUND_PATH = os.path.join(ARTWORK_DIR, "ostris_logo.jpg") | |
| WAVEFORM_COLOR = (0xFB, 0xBF, 0x24, 230) # #fbbf24 at 90% opacity | |
| ARTWORK_SIZE = 1024 | |
| def load_waveform(audio_path: str, num_samples: int = 512) -> np.ndarray: | |
| """Load audio and return a downsampled waveform envelope using PyAV.""" | |
| container = av.open(audio_path) | |
| stream = container.streams.audio[0] | |
| stream.codec_context.thread_type = "AUTO" | |
| frames = [] | |
| for frame in container.decode(stream): | |
| arr = frame.to_ndarray() | |
| # mix down to mono | |
| if arr.ndim > 1: | |
| arr = arr.mean(axis=0) | |
| frames.append(arr) | |
| container.close() | |
| audio = np.concatenate(frames) | |
| # downsample to num_samples bins by taking max absolute value per bin | |
| bin_size = len(audio) // num_samples | |
| if bin_size == 0: | |
| bin_size = 1 | |
| trimmed = audio[: bin_size * num_samples] | |
| bins = trimmed.reshape(num_samples, bin_size) | |
| envelope = np.max(np.abs(bins), axis=1) | |
| # normalize to 0-1 | |
| peak = envelope.max() | |
| if peak > 0: | |
| envelope = envelope / peak | |
| return envelope | |
| def create_artwork(waveform: np.ndarray, size: int = ARTWORK_SIZE) -> Image.Image: | |
| """Create album artwork with logo background and waveform overlay.""" | |
| bg = Image.open(BACKGROUND_PATH).convert("RGBA").resize((size, size), Image.LANCZOS) | |
| # draw waveform on separate overlay for alpha compositing | |
| wave_overlay = Image.new("RGBA", (size, size), (0, 0, 0, 0)) | |
| draw = ImageDraw.Draw(wave_overlay) | |
| num_bars = len(waveform) | |
| padding = int(size * 0.02) | |
| draw_w = size - 2 * padding | |
| bar_width = max(1, draw_w / num_bars) | |
| center_y = size // 2 | |
| max_amp = (size // 2) * 0.85 # leave a little margin | |
| for i, amp in enumerate(waveform): | |
| x = padding + i * bar_width | |
| h = amp * max_amp | |
| y_top = center_y - h | |
| y_bot = center_y + h | |
| draw.rectangle( | |
| [x, y_top, x + bar_width - 1, y_bot], | |
| fill=WAVEFORM_COLOR, | |
| ) | |
| bg = Image.alpha_composite(bg, wave_overlay) | |
| return bg.convert("RGB") | |
| def add_album_artwork(song_path: str) -> None: | |
| """Add album artwork with waveform visualization to an MP3 file.""" | |
| from mutagen.id3 import ID3, APIC, ID3NoHeaderError | |
| if not os.path.isfile(song_path): | |
| raise FileNotFoundError(f"Audio file not found: {song_path}") | |
| waveform = load_waveform(song_path) | |
| artwork = create_artwork(waveform) | |
| # encode artwork to JPEG bytes in memory | |
| buf = io.BytesIO() | |
| artwork.save(buf, format="JPEG", quality=85) | |
| artwork_data = buf.getvalue() | |
| # embed into MP3 via mutagen ID3 tags | |
| try: | |
| tags = ID3(song_path) | |
| except ID3NoHeaderError: | |
| tags = ID3() | |
| tags.delall("APIC") | |
| tags.add( | |
| APIC( | |
| encoding=3, # UTF-8 | |
| mime="image/jpeg", | |
| type=3, # front cover | |
| desc="Cover", | |
| data=artwork_data, | |
| ) | |
| ) | |
| tags.save(song_path, v2_version=3) | |
| if __name__ == "__main__": | |
| import argparse | |
| parser = argparse.ArgumentParser( | |
| description="Add album artwork with waveform to an MP3 file" | |
| ) | |
| parser.add_argument("mp3", help="Path to the MP3 file") | |
| args = parser.parse_args() | |
| add_album_artwork(args.mp3) | |