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import subprocess
import gradio as gr
import tempfile
from pathlib import Path
import os
# Check permissions and environment setup
print("Checking directory and file permissions...")
for path in ['/tmp', '/usr/share/fonts', '/root/.config', '/src/fonts', '/src/flagged']:
if os.access(path, os.W_OK):
print(f'Directory {path} is writable.')
else:
print(f'Error: Directory {path} is not writable.')
class Predictor:
def predict(self,
audio: str,
bg_color: str = "#000000",
fg_alpha: float = 0.75,
bars_color: str = "#ffffff",
bar_count: int = 100,
bar_width: float = 0.4,
caption_text: str = "",
) -> str:
"""Make waveform video from audio file"""
waveform_video = gr.make_waveform(
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 waveform_video
else:
padded_waveform_path = tempfile.mktemp(suffix=".mp4")
background_image_path = tempfile.mktemp(suffix=".png")
final_video_path = tempfile.mktemp(suffix=".mp4")
print("Running ffmpeg to add padding...")
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)
print("Creating an image using ImageMagick...")
subprocess.run([
'convert', '-background', bg_color, '-fill', bars_color, '-font', '/src/fonts/Roboto-Black.ttf',
'-pointsize', '48', '-size', '900x367', '-gravity', 'center', f'caption:{caption_text}',
'-bordercolor', bg_color, '-border', '40', background_image_path
], check=True)
print("Overlaying 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 final_video_path
# Gradio user interface
def gradio_predict(audio, bg_color, fg_alpha, bars_color, bar_count, bar_width, caption_text):
predictor = Predictor()
result = predictor.predict(
audio=audio,
bg_color=bg_color,
fg_alpha=fg_alpha,
bars_color=bars_color,
bar_count=bar_count,
bar_width=bar_width,
caption_text=caption_text
)
return result
# Launch Gradio interface
interface = gr.Interface(
fn=gradio_predict,
inputs=[
gr.Audio(source="upload", type="filepath", label="Audio File"),
gr.Textbox(value="#000000", label="Background Color"),
gr.Slider(0, 1, value=0.75, label="Foreground Opacity"),
gr.ColorPicker(value="#ffffff", label="Bars Color"),
gr.Slider(10, 500, value=100, step=1, label="Number of Bars"),
gr.Slider(0, 1, value=0.4, step=0.1, label="Bar Width"),
gr.Textbox(value="", label="Caption Text")
],
outputs=gr.Video(label="Waveform Video"),
live=False
)
if __name__ == "__main__":
print("Starting Gradio interface...")
interface.launch(server_name="0.0.0.0", server_port=7860) |