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Update app.py
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app.py
CHANGED
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@@ -8,11 +8,15 @@ import logging
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import re
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import torch
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from transformers import GPT2LMHeadModel, GPT2Tokenizer
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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")
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# Lista de voces v谩lidas
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@@ -58,7 +62,7 @@ def generar_guion_largo(tema, custom_script=None):
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top_p=0.95,
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num_return_sequences=1,
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pad_token_id=tokenizer.eos_token_id,
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early_stopping=True
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)
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guion = tokenizer.decode(outputs[0], skip_special_tokens=True)
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@@ -87,14 +91,11 @@ def buscar_videos_pexels(tema, num_videos=4):
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headers=headers,
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timeout=15
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)
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videos = response.json().get("videos", [])
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reverse=True
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)[:num_videos]
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except Exception as e:
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logger.error(f"Error buscando videos: {str(e)}")
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return []
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@@ -142,6 +143,9 @@ def crear_video(prompt, custom_script, voz_seleccionada, musica=None):
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for i, video in enumerate(videos_data):
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try:
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# Seleccionar la mejor calidad disponible
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video_file = max(
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video['video_files'],
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key=lambda x: x.get('width', 0) * x.get('height', 0)
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@@ -166,9 +170,11 @@ def crear_video(prompt, custom_script, voz_seleccionada, musica=None):
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logger.error(f"Error procesando video {i}: {str(e)}")
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if not clips:
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# 6. Combinar videos
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final_clip = concatenate_videoclips(clips, method="compose")
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final_clip = final_clip.set_audio(audio)
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@@ -197,8 +203,7 @@ def crear_video(prompt, custom_script, voz_seleccionada, musica=None):
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codec="libx264",
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audio_codec="aac",
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threads=4,
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preset='fast'
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ffmpeg_params=['-crf', '23'] # Calidad balanceada
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)
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logger.info(f"Video generado exitosamente: {output_path}")
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@@ -216,7 +221,7 @@ def crear_video(prompt, custom_script, voz_seleccionada, musica=None):
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if os.path.exists(temp_file):
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os.remove(temp_file)
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# Interfaz mejorada
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with gr.Blocks(title="Generador de Videos", theme=gr.themes.Soft()) as app:
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gr.Markdown("# 馃幀 GENERADOR AUTOM脕TICO DE VIDEOS")
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import re
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import torch
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from transformers import GPT2LMHeadModel, GPT2Tokenizer
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import warnings
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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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# Suprimir warnings espec铆ficos de transformers
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warnings.filterwarnings("ignore", category=UserWarning, module="transformers")
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PEXELS_API_KEY = os.getenv("PEXELS_API_KEY")
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# Lista de voces v谩lidas
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top_p=0.95,
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num_return_sequences=1,
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pad_token_id=tokenizer.eos_token_id,
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# early_stopping=True # Eliminado para evitar warnings
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)
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guion = tokenizer.decode(outputs[0], skip_special_tokens=True)
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headers=headers,
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timeout=15
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)
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if response.status_code != 200:
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return []
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return response.json().get("videos", [])[:num_videos]
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except Exception as e:
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logger.error(f"Error buscando videos: {str(e)}")
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return []
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for i, video in enumerate(videos_data):
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try:
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# Seleccionar la mejor calidad disponible
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if 'video_files' not in video or not video['video_files']:
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continue
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video_file = max(
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video['video_files'],
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key=lambda x: x.get('width', 0) * x.get('height', 0)
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logger.error(f"Error procesando video {i}: {str(e)}")
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if not clips:
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# Crear video de fondo negro si no hay videos
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clip = ColorClip(size=(1280, 720), color=(0, 0, 0), duration=duracion_total)
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clips = [clip]
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# 6. Combinar videos
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final_clip = concatenate_videoclips(clips, method="compose")
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final_clip = final_clip.set_audio(audio)
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codec="libx264",
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audio_codec="aac",
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threads=4,
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preset='fast'
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)
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logger.info(f"Video generado exitosamente: {output_path}")
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if os.path.exists(temp_file):
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os.remove(temp_file)
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# Interfaz mejorada
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with gr.Blocks(title="Generador de Videos", theme=gr.themes.Soft()) as app:
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gr.Markdown("# 馃幀 GENERADOR AUTOM脕TICO DE VIDEOS")
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