app.py

import tempfile
import logging
import os
import asyncio
from moviepy.editor import *
import edge_tts
import gradio as gr
from pydub import AudioSegment

logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")

INTRO_VIDEO = "introvideo.mp4"
OUTRO_VIDEO = "outrovideo.mp4"
MUSIC_BG = "musicafondo.mp3"
EJEMPLO_VIDEO = "ejemplo.mp4"

for file in [INTRO_VIDEO, OUTRO_VIDEO, MUSIC_BG, 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, audio_original):
    temp_files = []
    try:
        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)
            
            if tts_audio.duration > duracion_video:
                tts_audio = tts_audio.subclip(0, duracion_video)

        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(0.15)
            temp_files.append(tmp_bg.name)

        audios = [bg_audio.set_duration(duracion_video)]
        if audio_original:
            audios.append(audio_original.volumex(0.7))
        audios.append(tts_audio.volumex(0.85).set_start(0))
        
        audio_final = CompositeAudioClip(audios).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}")

async def procesar_video(video_input, texto_tts, voz_seleccionada):
    try:
        intro = VideoFileClip(INTRO_VIDEO)
        outro = VideoFileClip(OUTRO_VIDEO)
        video_original = VideoFileClip(video_input)
        audio_original = video_original.audio
        
        duracion_video = video_original.duration
        
        audio_final = await procesar_audio(
            texto_tts,
            voz_seleccionada,
            duracion_video,
            audio_original
        )
        
        target_width = 1920
        target_height = 1080
        video_resized = video_original.resize((target_width, target_height))

        video_con_audio = video_resized.set_audio(audio_final)
        
        video_final = concatenate_videoclips(
            [intro, video_con_audio, outro],
            method="compose",
            padding=0
        )
        
        with tempfile.NamedTemporaryFile(suffix=".mp4", delete=False) as tmp:
            video_final.write_videofile(
                tmp.name,
                codec="libx264",
                audio_codec="aac",
                fps=video_original.fps,
                threads=4,
                ffmpeg_params=[
                    "-aspect", "16:9",
                    "-vf", "scale=1920:1080"
                ],
                verbose=False
            )
            eliminar_archivo_tiempo(tmp.name)
            return tmp.name
    except Exception as e:
        logging.error(f" fallo general: {str(e)}")
        raise

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 aquí 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, "¡Hola! Esto es una prueba. Suscríbete 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()