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import gradio as gr
import numpy as np
from moviepy.editor import AudioFileClip, ImageClip, CompositeVideoClip
import tempfile
import os
def create_waveform_video(image, audio):
# Save uploaded files temporarily
image_path = tempfile.mktemp(suffix=".png")
audio_path = tempfile.mktemp(suffix=".mp3")
video_path = tempfile.mktemp(suffix=".mp4")
image.save(image_path)
audio.save(audio_path)
# Load audio
audio_clip = AudioFileClip(audio_path)
# Load image and create a video clip of the same duration as the audio
img_clip = ImageClip(image_path).set_duration(audio_clip.duration)
img_clip = img_clip.resize(height=720) # Resize image to a suitable video height
# Generate waveform effect as a video
waveform = audio_clip.to_soundarray(fps=22050) # Convert audio to waveform array
waveform = waveform.mean(axis=1) # Convert stereo to mono by averaging channels
# Normalize waveform for overlay
waveform = np.interp(waveform, (waveform.min(), waveform.max()), (-1, 1))
# Overlay waveform on image (optional customization: size and position of waveform)
waveform_clip = ImageClip(image_path).set_duration(audio_clip.duration)
waveform_clip = waveform_clip.fx(CompositeVideoClip, [[waveform, 'center', 0.8]])
# Combine image and audio into one video
final_clip = CompositeVideoClip([img_clip, waveform_clip.set_audio(audio_clip)])
final_clip.write_videofile(video_path, codec="libx264", fps=24)
# Cleanup temporary files
os.remove(image_path)
os.remove(audio_path)
return video_path
iface = gr.Interface(
fn=create_waveform_video,
inputs=[
gr.Image(type="pil", label="Upload Image"),
gr.Audio(type="file", label="Upload Audio")
],
outputs=gr.Video(label="Generated Video"),
title="Image + Audio to Video with Waveform Overlay"
)
iface.launch()
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