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import tempfile
import logging
import os
import asyncio
from moviepy.editor import *
import edge_tts
import gradio as gr
from pydub import AudioSegment
import math # <-- M贸dulo faltante
# Configuraci贸n de Logs
logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
# CONSTANTES DE ARCHIVOS
INTRO_VIDEO = "introvideo.mp4"
OUTRO_VIDEO = "outrovideo.mp4"
MUSIC_BG = "musicafondo.mp3"
FX_GLITCH = "glitch.mp4" # Aseg煤rate que este archivo exista
EJEMPLO_VIDEO = "ejemplo.mp4"
# Validar existencia de archivos al inicio
for file in [INTRO_VIDEO, OUTRO_VIDEO, MUSIC_BG, FX_GLITCH, EJEMPLO_VIDEO]:
if not os.path.exists(file):
logging.error(f"Falta archivo necesario: {file}")
raise FileNotFoundError(f"Falta: {file}")
def eliminar_archivo_tiempo(ruta, delay=1800):
def eliminar():
try:
if os.path.exists(ruta):
os.remove(ruta)
logging.info(f"Archivo eliminado: {ruta}")
except Exception as e:
logging.error(f"Error al eliminar {ruta}: {e}")
from threading import Timer
Timer(delay, eliminar).start()
async def procesar_audio(texto, voz, duracion_video):
temp_files = []
try:
# Generar TTS
communicate = edge_tts.Communicate(texto, voz)
with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_tts:
await communicate.save(tmp_tts.name)
tts_audio = AudioFileClip(tmp_tts.name)
temp_files.append(tmp_tts.name)
# Limitar TTS al video
if tts_audio.duration > duracion_video:
tts_audio = tts_audio.subclip(0, duracion_video)
# Preparar m煤sica de fondo en loop
bg_music = AudioSegment.from_mp3(MUSIC_BG)
needed_ms = int(duracion_video * 1000)
repeticiones = needed_ms // len(bg_music) + 1
bg_music = bg_music * repeticiones
bg_music = bg_music[:needed_ms].fade_out(1000)
with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_bg:
bg_music.export(tmp_bg.name, format="mp3")
bg_audio = AudioFileClip(tmp_bg.name).volumex(0.2)
temp_files.append(tmp_bg.name)
# Combinar audios
audio_final = CompositeAudioClip([
bg_audio.set_duration(duracion_video),
tts_audio.volumex(0.8).set_start(0)
]).set_duration(duracion_video)
return audio_final
except Exception as e:
logging.error(f" fallo en audio: {str(e)}")
raise
finally:
for file in temp_files:
try:
os.remove(file)
except Exception as e:
logging.warning(f"Error limpiando {file}: {e}")
def agregar_glitch(video, intervalo=40):
"""Agrega glitch cada X segundos sin alterar el video"""
duracion_total = video.duration # <-- Variable definida
glitch = VideoFileClip(FX_GLITCH).set_duration(0.5)
# Crear clips de glitch en los intervalos
glitches = []
for t in range(intervalo, math.ceil(duracion_total), intervalo): # <-- Usar duracion_total
glitches.append(glitch.set_start(t).set_pos("center"))
return CompositeVideoClip([video] + glitches)
async def procesar_video(video_input, texto_tts, voz_seleccionada):
try:
# Cargar componentes
intro = VideoFileClip(INTRO_VIDEO)
outro = VideoFileClip(OUTRO_VIDEO)
video_original = VideoFileClip(video_input)
# Duraci贸n total del video editado
duracion_video = video_original.duration
# Procesar audio
audio_final = await procesar_audio(texto_tts, voz_seleccionada, duracion_video)
# Agregar glitch al video original
video_con_glitch = agregar_glitch(video_original, intervalo=40)
# Combinar con intro/outro
video_final = concatenate_videoclips(
[intro, video_con_glitch, outro],
method="chain"
)
# Renderizar video final
with tempfile.NamedTemporaryFile(suffix=".mp4", delete=False) as tmp:
video_final.write_videofile(
tmp.name,
codec="libx264",
audio_codec="aac",
fps=24,
threads=4,
verbose=False
)
eliminar_archivo_tiempo(tmp.name)
return tmp.name
except Exception as e:
logging.error(f" fallo general: {str(e)}")
raise
# Interfaz Gradio
with gr.Blocks() as demo:
gr.Markdown("# Editor de Video con IA")
with gr.Tab("Principal"):
video_input = gr.Video(label="Subir video")
texto_tts = gr.Textbox(
label="Texto para TTS",
lines=3,
placeholder="Escribe aqu铆 tu texto..."
)
voz_seleccionada = gr.Dropdown(
label="Voz",
choices=["es-ES-AlvaroNeural", "es-MX-BeatrizNeural"],
value="es-ES-AlvaroNeural"
)
procesar_btn = gr.Button("Generar Video")
video_output = gr.Video(label="Video Procesado")
with gr.Accordion("Ejemplos de Uso", open=False):
gr.Examples(
examples=[[EJEMPLO_VIDEO, "隆Hola! Esto es una prueba. Suscr铆bete al canal."]],
inputs=[video_input, texto_tts],
label="Ejemplos"
)
procesar_btn.click(
procesar_video,
inputs=[video_input, texto_tts, voz_seleccionada],
outputs=video_output
)
if __name__ == "__main__":
demo.queue().launch() |