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import subprocess
from cog import BasePredictor, Input, Path
import gradio as gr
import tempfile
class Predictor(BasePredictor):
def predict(self,
audio: Path = Input(description="Audio file to create waveform from"),
bg_color: str = Input(description="Background color of waveform", default="#000000"),
fg_alpha: float = Input(description="Opacity of foreground waveform", default=0.75),
bars_color: str = Input(description="Color of waveform bars", default="#ffffff"),
bar_count: int = Input(description="Number of bars in waveform", default=100),
bar_width: float = Input(description="Width of bars in waveform. 1 represents full width, 0.5 represents half width, etc.", default=0.4),
caption_text: str = Input(description="Caption text for the video", default=""),
) -> Path:
"""Make waveform video from audio file"""
waveform_video = gr.make_waveform(
str(audio),
bg_color=bg_color,
fg_alpha=fg_alpha,
bars_color=bars_color,
bar_count=bar_count,
bar_width=bar_width,
)
if caption_text == "" or caption_text is None:
return Path(waveform_video)
else:
padded_waveform_path = tempfile.mktemp(suffix=".mp4")
background_image_path = tempfile.mktemp(suffix=".png")
final_video_path = tempfile.mktemp(suffix=".mp4")
# Add padding to the top of the waveform video
subprocess.run([
'ffmpeg', '-y', '-i', waveform_video, '-vf',
f'pad=width=1000:height=667:x=0:y=467:color={bg_color[1:]}',
padded_waveform_path
], check=True)
# Create an image using ImageMagick
subprocess.run([
'convert', '-background', bg_color, '-fill', bars_color, '-font', 'font/Roboto-Black.ttf',
'-pointsize', '48', '-size', '900x367', '-gravity', 'center', f'caption:{caption_text}',
'-bordercolor', bg_color, '-border', '40', background_image_path
], check=True)
# Overlay the image on the padded waveform video
subprocess.run([
'ffmpeg', '-y', '-i', padded_waveform_path, '-i', background_image_path,
'-filter_complex', 'overlay=0:0', final_video_path
], check=True)
return Path(final_video_path)
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