app.py

import os
import gradio as gr
import requests
import tempfile
import asyncio
import edge_tts
from datetime import datetime
from moviepy.editor import (
    VideoFileClip, AudioFileClip,
    concatenate_videoclips, CompositeAudioClip, afx
)
from transformers import pipeline
import nest_asyncio

nest_asyncio.apply()

# Generador de texto
generador = pipeline("text-generation", model="gpt2")

# Obtener voces disponibles
async def get_voices():
    voices = await edge_tts.list_voices()
    return voices

VOICES = asyncio.run(get_voices())
VOICE_OPTIONS = [
    f"{v['Name']} ({v['Gender']}, {v['Locale']})" for v in VOICES
]
VOICE_MAP = {v['Name']: v['ShortName'] for v in VOICES}

# Mock de videos
def buscar_videos_mock():
    return [
        "https://samplelib.com/lib/preview/mp4/sample-5s.mp4",
        "https://samplelib.com/lib/preview/mp4/sample-10s.mp4"
    ]

# Mock de música
def buscar_musica_mock():
    return "https://samplelib.com/lib/preview/mp3/sample-3s.mp3"

# Función principal
async def generar_video(prompt, voz_str):
    try:
        # 1. Texto largo
        texto = generador(prompt, max_length=300, do_sample=True)[0]['generated_text']

        # 2. Voz
        voz_id = voz_str.split(" ")[0]
        short_name = VOICE_MAP.get(voz_id, "es-ES-ElviraNeural")
        voz_path = "voz.mp3"
        await edge_tts.Communicate(text=texto, voice=short_name).save(voz_path)
        voz_clip = AudioFileClip(voz_path)

        # 3. Videos
        video_urls = buscar_videos_mock()
        clips = []
        for url in video_urls:
            r = requests.get(url, stream=True)
            with tempfile.NamedTemporaryFile(suffix=".mp4", delete=False) as f:
                for chunk in r.iter_content(1024 * 1024):
                    f.write(chunk)
                f.flush()
                clips.append(VideoFileClip(f.name).subclip(0, 5))

        video = concatenate_videoclips(clips).set_audio(voz_clip)

        # 4. Música (loop)
        music_url = buscar_musica_mock()
        r = requests.get(music_url, stream=True)
        with tempfile.NamedTemporaryFile(suffix=".mp3", delete=False) as f:
            for chunk in r.iter_content(1024 * 1024):
                f.write(chunk)
            f.flush()
            music_clip = AudioFileClip(f.name)
            music_loop = afx.audio_loop(music_clip, duration=video.duration).volumex(0.3)

        # 5. Composición de audio
        final_audio = CompositeAudioClip([video.audio, music_loop])
        video = video.set_audio(final_audio)

        # 6. Guardar
        output_path = f"video_{datetime.now().strftime('%Y%m%d_%H%M%S')}.mp4"
        video.write_videofile(output_path, fps=24)

        return output_path
    except Exception as e:
        return f"Error: {e}"

# Interfaz Gradio
with gr.Blocks() as demo:
    prompt = gr.Textbox(label="Prompt", placeholder="Escribe un tema...")
    voz_dropdown = gr.Dropdown(VOICE_OPTIONS, label="Voz", value=VOICE_OPTIONS[0])
    btn = gr.Button("Generar video")
    salida = gr.Video(label="Resultado")

    btn.click(fn=lambda p, v: asyncio.run(generar_video(p, v)),
              inputs=[prompt, voz_dropdown],
              outputs=salida)

if __name__ == "__main__":
    demo.launch(server_name="0.0.0.0", server_port=7860)