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Update app.py
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app.py
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import os
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import subprocess
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import gradio as gr
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from moviepy.editor import *
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import requests
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from datetime import datetime
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import tempfile
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# Configuraci贸n inicial
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# Lista de voces v谩lidas
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VOICES = [
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"es-MX-DaliaNeural", "es-ES-ElviraNeural",
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]
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def descargar_video(url, output_path):
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"""Descarga un video y lo guarda localmente"""
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try:
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response = requests.get(url, stream=True, timeout=
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with open(output_path, 'wb') as f:
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for chunk in response.iter_content(chunk_size=1024*1024):
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return True
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except Exception as e:
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return False
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def
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try:
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# 1. Generar
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voz_archivo = "voz.mp3"
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subprocess.run([
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'edge-tts',
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'--voice', voz_seleccionada,
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'--text',
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'--write-media', voz_archivo
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], check=True)
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#
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headers = {"Authorization": PEXELS_API_KEY}
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response = requests.get(
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f"https://api.pexels.com/videos/search?query={prompt[:50]}&per_page=
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headers=headers,
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timeout=15
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)
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clips = []
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for
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if not clips:
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raise Exception("No se pudieron cargar videos v谩lidos")
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#
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audio = AudioFileClip(voz_archivo)
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if musica:
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musica_clip = AudioFileClip(musica.name)
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if musica_clip.duration <
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#
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output_path = f"video_{datetime.now().strftime('%Y%m%d_%H%M%S')}.mp4"
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final_clip.write_videofile(
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return output_path
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except Exception as e:
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return None
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finally:
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# Limpieza
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if os.path.exists(voz_archivo):
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os.remove(voz_archivo)
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# Interfaz Gradio
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with gr.Blocks() as app:
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gr.Markdown("# 馃幀
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with gr.Row():
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with gr.Column():
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btn.click(
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fn=
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inputs=[prompt, voz, musica],
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outputs=output
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)
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if __name__ == "__main__":
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app.launch(server_name="0.0.0.0", server_port=7860)
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import os
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import subprocess
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import requests
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import gradio as gr
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from moviepy.editor import *
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from datetime import datetime
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import tempfile
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import logging
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from transformers import pipeline
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# Configuraci贸n inicial
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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PEXELS_API_KEY = os.getenv("PEXELS_API_KEY") # Configurar en Hugging Face
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# Lista de voces v谩lidas (puedes a帽adir m谩s)
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VOICES = [
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"es-MX-DaliaNeural", "es-ES-ElviraNeural", "es-AR-ElenaNeural",
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"en-US-JennyNeural", "fr-FR-DeniseNeural", "de-DE-KatjaNeural",
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"it-IT-ElsaNeural", "pt-BR-FranciscaNeural", "ja-JP-NanamiNeural"
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]
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# Inicializar el generador de texto
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try:
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script_generator = pipeline("text-generation", model="facebook/mbart-large-50")
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except:
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logger.warning("No se pudo cargar el modelo de generaci贸n de texto")
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script_generator = None
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def generar_guion(prompt):
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"""Genera un guion autom谩tico usando IA"""
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if script_generator:
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try:
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result = script_generator(
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f"Genera un guion breve para un video sobre '{prompt}' con 3 puntos principales:",
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max_length=250,
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num_return_sequences=1
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)
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return result[0]['generated_text']
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except Exception as e:
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logger.error(f"Error generando guion: {str(e)}")
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# Fallback si falla la generaci贸n
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return f"1. Primer punto sobre {prompt}\n2. Segundo punto\n3. Tercer punto"
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def descargar_video(url, output_path):
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"""Descarga un video y lo guarda localmente"""
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try:
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response = requests.get(url, stream=True, timeout=20)
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response.raise_for_status()
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with open(output_path, 'wb') as f:
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for chunk in response.iter_content(chunk_size=1024*1024): # 1MB chunks
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if chunk:
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f.write(chunk)
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return True
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except Exception as e:
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logger.error(f"Error descargando video: {str(e)}")
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return False
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def crear_video(prompt, custom_script, voz_seleccionada, musica=None):
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try:
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# 1. Generar o usar guion
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guion = custom_script if custom_script else generar_guion(prompt)
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logger.info(f"Guion: {guion[:100]}...")
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# 2. Generar voz
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voz_archivo = "voz.mp3"
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subprocess.run([
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'edge-tts',
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'--voice', voz_seleccionada,
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'--text', guion,
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'--write-media', voz_archivo
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], check=True)
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# 3. Buscar videos en Pexels
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headers = {"Authorization": PEXELS_API_KEY}
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response = requests.get(
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f"https://api.pexels.com/videos/search?query={prompt[:50]}&per_page=3",
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headers=headers,
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timeout=15
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)
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videos_data = response.json().get("videos", [])
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if not videos_data:
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raise Exception("No se encontraron videos en Pexels")
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# 4. Descargar y preparar clips de video
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clips = []
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for i, video in enumerate(videos_data[:3]):
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# Seleccionar la mejor calidad de video disponible
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video_files = sorted(
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[vf for vf in video['video_files'] if vf.get('width')],
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key=lambda x: x['width'],
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reverse=True
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)
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if not video_files:
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continue
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video_url = video_files[0]['link']
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temp_video_path = f"temp_video_{i}.mp4"
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if descargar_video(video_url, temp_video_path):
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clip = VideoFileClip(temp_video_path)
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# Calcular duraci贸n proporcional
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clip_duration = min(10, clip.duration) # M谩ximo 10 segundos por clip
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clips.append(clip.subclip(0, clip_duration))
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if not clips:
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raise Exception("No se pudieron cargar videos v谩lidos")
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# 5. Procesar audio
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audio = AudioFileClip(voz_archivo)
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total_duration = audio.duration
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if musica:
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musica_clip = AudioFileClip(musica.name)
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if musica_clip.duration < total_duration:
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# Crear loop si la m煤sica es m谩s corta
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looped_music = musica_clip.loop(duration=total_duration)
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else:
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looped_music = musica_clip.subclip(0, total_duration)
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audio = CompositeAudioClip([audio, looped_music.volumex(0.25)])
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# 6. Crear video final
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# Calcular duraci贸n por clip
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clip_durations = [c.duration for c in clips]
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total_clip_duration = sum(clip_durations)
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scale_factor = total_duration / total_clip_duration if total_clip_duration > 0 else 1
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# Ajustar velocidad de los clips para que coincidan con el audio
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adjusted_clips = [c.fx(vfx.speedx, scale_factor) for c in clips]
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final_clip = concatenate_videoclips(adjusted_clips, method="compose")
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# Aplicar transici贸n suave entre clips
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final_clip = final_clip.fx(vfx.fadein, 0.5).fx(vfx.fadeout, 0.5)
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# Ajustar duraci贸n exacta
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final_clip = final_clip.set_duration(total_duration).set_audio(audio)
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# 7. Guardar video final
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output_path = f"video_{datetime.now().strftime('%Y%m%d_%H%M%S')}.mp4"
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final_clip.write_videofile(
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output_path,
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codec="libx264",
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audio_codec="aac",
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threads=2,
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preset='fast',
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fps=24
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)
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return output_path
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except Exception as e:
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logger.error(f"ERROR: {str(e)}")
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return None
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finally:
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# Limpieza de archivos temporales
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if os.path.exists(voz_archivo):
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os.remove(voz_archivo)
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for i in range(3):
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if os.path.exists(f"temp_video_{i}.mp4"):
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os.remove(f"temp_video_{i}.mp4")
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# Interfaz Gradio mejorada
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with gr.Blocks(theme=gr.themes.Soft(), title="Generador de Videos Profesional") as app:
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gr.Markdown("# 馃幀 GENERADOR DE VIDEOS AUTOM脕TICO")
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with gr.Row():
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with gr.Column(scale=1):
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gr.Markdown("### Configuraci贸n del Video")
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prompt = gr.Textbox(label="Tema principal", placeholder="Ej: 'Lugares misteriosos de Espa帽a'")
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custom_script = gr.TextArea(
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label="Guion personalizado (opcional)",
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placeholder="Pega aqu铆 tu propio guion...",
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lines=5
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)
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voz = gr.Dropdown(
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label="Selecciona una voz",
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choices=VOICES,
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value="es-ES-ElviraNeural",
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interactive=True
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)
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musica = gr.File(
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label="M煤sica de fondo (opcional)",
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file_types=[".mp3", ".wav"],
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type="filepath"
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)
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btn = gr.Button("馃殌 GENERAR VIDEO", variant="primary", size="lg")
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with gr.Column(scale=2):
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output = gr.Video(
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label="Video Resultante",
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format="mp4",
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interactive=False,
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elem_id="video-player"
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)
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gr.Examples(
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examples=[
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["Lugares hist贸ricos de Roma", "", "it-IT-ElsaNeural", None],
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["Tecnolog铆as del futuro", "", "en-US-JennyNeural", None],
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["Playas paradis铆acas del Caribe", "", "es-MX-DaliaNeural", None]
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],
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inputs=[prompt, custom_script, voz, musica],
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label="Ejemplos para probar"
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)
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btn.click(
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fn=crear_video,
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inputs=[prompt, custom_script, voz, musica],
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outputs=output
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)
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# CSS para mejorar la visualizaci贸n
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app.css = """
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#video-player {
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max-width: 100%;
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border-radius: 10px;
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box-shadow: 0 4px 12px rgba(0,0,0,0.15);
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}
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"""
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if __name__ == "__main__":
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app.launch(server_name="0.0.0.0", server_port=7860)
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