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import gradio as gr
import moviepy.editor as mp
import numpy as np
import librosa
from PIL import Image, ImageDraw
import tempfile
import os
import logging
# Configuración de logging
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(levelname)s - %(message)s',
handlers=[logging.StreamHandler()]
)
logger = logging.getLogger("audio_to_video")
def generate_video(audio_file, image_file):
try:
# 1. Cargar audio
y, sr = librosa.load(audio_file)
duration = librosa.get_duration(y=y, sr=sr)
logger.info(f"Audio cargado: {duration:.1f} segundos")
# 2. Cargar imagen
img = Image.open(image_file).convert('RGB')
img_w, img_h = img.size
logger.info(f"Imagen cargada: {img_w}x{img_h}")
# 3. Crear efecto waveform
audio_envelope = np.abs(y) / np.max(np.abs(y)) # Normalizar
audio_envelope *= img_h // 4 # Escalar al 25% de la altura
# 4. Generar frames
def make_frame(t):
frame = img.copy()
draw = ImageDraw.Draw(frame)
time_idx = int(t * sr)
start = max(0, time_idx - sr//10)
end = min(len(audio_envelope), time_idx + sr//10)
wave_slice = audio_envelope[start:end]
points = []
for i, val in enumerate(wave_slice):
x = int((i / len(wave_slice)) * img_w)
y_pos = img_h//2 - int(val)
y_neg = img_h//2 + int(val)
points.extend([(x, y_pos), (x, y_neg)])
if len(points) > 2:
draw.polygon(points, fill=(255, 0, 0, 128)) # Rojo semitransparente
return np.array(frame)
# 5. Crear video
video = mp.VideoClip(make_frame, duration=duration)
video.fps = 24
video = video.set_audio(mp.AudioFileClip(audio_file))
# 6. Guardar video
with tempfile.NamedTemporaryFile(suffix=".mp4", delete=False) as tmpfile:
video.write_videofile(
tmpfile.name,
codec="libx264",
audio_codec="aac",
fps=24,
logger=None
)
# Verificar que el archivo existe
if not os.path.exists(tmpfile.name):
raise Exception("Error al guardar el video temporal")
logger.info(f"Video guardado: {tmpfile.name}")
return tmpfile.name # Retornar la ruta del archivo
except Exception as e:
logger.error(f"Error crítico: {str(e)}")
return f"Error: {str(e)}"
# Interfaz Gradio
iface = gr.Interface(
fn=generate_video,
inputs=[
gr.Audio(type="filepath", label="Audio (WAV/MP3)"),
gr.Image(type="filepath", label="Imagen de Fondo")
],
outputs=gr.File(label="Descargar Video"), # Usar File para descargar
title="Generador de Video Musical",
description="Crea videos con efectos de audio sincronizados. Sube un audio y una imagen."
)
if __name__ == "__main__":
iface.queue().launch() |