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import gradio as gr
import moviepy.editor as mp
import numpy as np
import librosa
import matplotlib.pyplot as plt
from io import BytesIO
import logging
# Configuraci贸n de logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger("audio_to_video")
def generate_waveform_video(audio_path, image_path):
try:
# 1. Cargar audio
logger.info("Cargando archivo de audio...")
y, sr = librosa.load(audio_path)
duration = librosa.get_duration(y=y, sr=sr)
logger.info(f"Duraci贸n del audio: {duration:.2f} segundos")
# 2. Cargar imagen
logger.info("Procesando imagen...")
img_clip = mp.ImageClip(image_path).set_duration(duration)
img_width, img_height = img_clip.size
# 3. Crear efecto de waveform
logger.info("Generando efecto visual...")
audio_envelope = np.abs(y) # Envelope del audio
audio_envelope = (audio_envelope / np.max(audio_envelope)) * (img_height // 3)
def make_frame(t):
fig, ax = plt.subplots(figsize=(img_width/100, img_height/100), dpi=100)
ax.set_xlim(0, duration)
ax.set_ylim(-img_height//2, img_height//2)
ax.axis('off')
time_index = int(t * sr)
start = max(0, time_index - sr//10)
end = min(len(audio_envelope), time_index + sr//10)
wave_slice = audio_envelope[start:end]
x_values = np.linspace(t-0.1, t+0.1, len(wave_slice))
ax.fill_between(x_values, wave_slice - img_height//4, -wave_slice + img_height//4,
facecolor='red', alpha=0.7)
buf = BytesIO()
plt.savefig(buf, format='png', bbox_inches='tight', pad_inches=0)
plt.close(fig)
return mp.ImageClip(buf).get_frame(0)
logger.info("Renderizando video...")
effect_clip = mp.VideoClip(make_frame, duration=duration).set_fps(24)
final_clip = mp.CompositeVideoClip([img_clip, effect_clip.set_pos("center")])
# 4. Combinar con audio
final_clip = final_clip.set_audio(mp.AudioFileClip(audio_path))
# 5. Guardar en memoria
buffer = BytesIO()
final_clip.write_videofile(buffer, fps=24, codec="libx264",
audio_codec="aac", logger=None)
buffer.seek(0)
logger.info("Video generado exitosamente")
return buffer
except Exception as e:
logger.error(f"Error durante la generaci贸n: {str(e)}")
return f"Error: {str(e)}"
# Interfaz Gradio
iface = gr.Interface(
fn=generate_waveform_video,
inputs=[
gr.Audio(type="filepath", label="Audio (WAV/MP3)"),
gr.Image(type="filepath", label="Imagen de Fondo"),
],
outputs=gr.Video(label="Video Resultante", format="mp4"),
title="Generador de Video con Efectos de Audio",
description="Crea videos con efectos visuales sincronizados con el audio. Actualmente soporta efecto de waveform.",
allow_flagging="never"
)
if __name__ == "__main__":
logger.info("Iniciando aplicaci贸n Gradio...")
iface.queue().launch(share=False, debug=True) |