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| import os | |
| import asyncio | |
| import logging | |
| import tempfile | |
| import requests | |
| from datetime import datetime | |
| import edge_tts | |
| import gradio as gr | |
| import torch | |
| from transformers import GPT2Tokenizer, GPT2LMHeadModel | |
| from keybert import KeyBERT | |
| # Importación correcta: Solo 'concatenate_videoclips' | |
| from moviepy.editor import VideoFileClip, concatenate_videoclips, AudioFileClip, CompositeAudioClip, concatenate_audioclips, AudioClip | |
| import re | |
| import math | |
| import shutil | |
| import json | |
| from collections import Counter | |
| # Configuración de logging | |
| logging.basicConfig( | |
| level=logging.DEBUG, | |
| format='%(asctime)s - %(levelname)s - %(message)s', | |
| handlers=[ | |
| logging.StreamHandler(), | |
| logging.FileHandler('video_generator_full.log', encoding='utf-8') | |
| ] | |
| ) | |
| logger = logging.getLogger(__name__) | |
| logger.info("="*80) | |
| logger.info("INICIO DE EJECUCIÓN - GENERADOR DE VIDEOS") | |
| logger.info("="*80) | |
| # Clave API de Pexels | |
| PEXELS_API_KEY = os.environ.get("PEXELS_API_KEY") | |
| if not PEXELS_API_KEY: | |
| logger.critical("NO SE ENCONTRÓ PEXELS_API_KEY EN VARIABLES DE ENTORNO") | |
| # raise ValueError("API key de Pexels no configurada") | |
| # Inicialización de modelos | |
| MODEL_NAME = "datificate/gpt2-small-spanish" | |
| logger.info(f"Inicializando modelo GPT-2: {MODEL_NAME}") | |
| tokenizer = None | |
| model = None | |
| try: | |
| tokenizer = GPT2Tokenizer.from_pretrained(MODEL_NAME) | |
| model = GPT2LMHeadModel.from_pretrained(MODEL_NAME).eval() | |
| if tokenizer.pad_token is None: | |
| tokenizer.pad_token = tokenizer.eos_token | |
| logger.info(f"Modelo GPT-2 cargado | Vocabulario: {len(tokenizer)} tokens") | |
| except Exception as e: | |
| logger.error(f"FALLA CRÍTICA al cargar GPT-2: {str(e)}", exc_info=True) | |
| tokenizer = model = None | |
| logger.info("Cargando modelo KeyBERT...") | |
| kw_model = None | |
| try: | |
| kw_model = KeyBERT('distilbert-base-multilingual-cased') | |
| logger.info("KeyBERT inicializado correctamente") | |
| except Exception as e: | |
| logger.error(f"FALLA al cargar KeyBERT: {str(e)}", exc_info=True) | |
| kw_model = None | |
| def buscar_videos_pexels(query, api_key, per_page=5): | |
| if not api_key: | |
| logger.warning("No se puede buscar en Pexels: API Key no configurada.") | |
| return [] | |
| logger.debug(f"Buscando en Pexels: '{query}' | Resultados: {per_page}") | |
| headers = {"Authorization": api_key} | |
| try: | |
| params = { | |
| "query": query, | |
| "per_page": per_page, | |
| "orientation": "landscape", | |
| "size": "medium" | |
| } | |
| response = requests.get( | |
| "https://api.pexels.com/videos/search", | |
| headers=headers, | |
| params=params, | |
| timeout=20 | |
| ) | |
| response.raise_for_status() | |
| data = response.json() | |
| videos = data.get('videos', []) | |
| logger.info(f"Pexels: {len(videos)} videos encontrados para '{query}'") | |
| return videos | |
| except requests.exceptions.RequestException as e: | |
| logger.error(f"Error de conexión Pexels para '{query}': {str(e)}") | |
| except json.JSONDecodeError: | |
| logger.error(f"Pexels: JSON inválido recibido | Status: {response.status_code} | Respuesta: {response.text[:200]}...") | |
| except Exception as e: | |
| logger.error(f"Error inesperado Pexels para '{query}': {str(e)}", exc_info=True) | |
| return [] | |
| def generate_script(prompt, max_length=150): | |
| logger.info(f"Generando guión | Prompt: '{prompt[:50]}...' | Longitud máxima: {max_length}") | |
| if not tokenizer or not model: | |
| logger.warning("Modelos GPT-2 no disponibles - Usando prompt original como guion.") | |
| return prompt.strip() | |
| instruction_phrase_start = "Escribe un guion corto, interesante y coherente sobre:" | |
| ai_prompt = f"{instruction_phrase_start} {prompt}" | |
| try: | |
| inputs = tokenizer(ai_prompt, return_tensors="pt", truncation=True, max_length=512) | |
| device = torch.device("cuda" if torch.cuda.is_available() else "cpu") | |
| model.to(device) | |
| inputs = {k: v.to(device) for k, v in inputs.items()} | |
| outputs = model.generate( | |
| **inputs, | |
| max_length=max_length + inputs[list(inputs.keys())[0]].size(1), | |
| do_sample=True, | |
| top_p=0.9, | |
| top_k=40, | |
| temperature=0.7, | |
| repetition_penalty=1.2, | |
| pad_token_id=tokenizer.pad_token_id, | |
| eos_token_id=tokenizer.eos_token_id, | |
| no_repeat_ngram_size=3 | |
| ) | |
| text = tokenizer.decode(outputs[0], skip_special_tokens=True) | |
| cleaned_text = text.strip() | |
| try: | |
| instruction_end_idx = text.find(instruction_phrase) | |
| if instruction_end_idx != -1: | |
| cleaned_text = text[instruction_end_idx + len(instruction_phrase):].strip() | |
| logger.debug("Instrucción inicial encontrada y eliminada del guión generado.") | |
| else: | |
| instruction_start_idx = text.find(instruction_phrase_start) | |
| if instruction_start_idx != -1: | |
| prompt_in_output_idx = text.find(prompt, instruction_start_idx) | |
| if prompt_in_output_idx != -1: | |
| cleaned_text = text[prompt_in_output_idx + len(prompt):].strip() | |
| logger.debug("Instrucción base y prompt encontrados y eliminados del guión generado.") | |
| else: | |
| cleaned_text = text[instruction_start_idx + len(instruction_phrase_start):].strip() | |
| logger.debug("Instrucción base encontrada, eliminada del guión generado (sin prompt detectado).") | |
| except Exception as e: | |
| logger.warning(f"Error durante la limpieza heurística del guión de IA: {e}. Usando texto generado sin limpieza adicional.") | |
| cleaned_text = re.sub(r'<[^>]+>', '', text).strip() | |
| if not cleaned_text or len(cleaned_text) < 10: | |
| logger.warning("El guión generado parece muy corto o vacío después de la limpieza. Usando el texto generado original (sin limpieza heurística).") | |
| cleaned_text = re.sub(r'<[^>]+>', '', text).strip() | |
| cleaned_text = re.sub(r'<[^>]+>', '', cleaned_text).strip() | |
| cleaned_text = cleaned_text.lstrip(':').strip() | |
| cleaned_text = cleaned_text.lstrip('.').strip() | |
| sentences = cleaned_text.split('.') | |
| if sentences and sentences[0].strip(): | |
| final_text = sentences[0].strip() + '.' | |
| if len(sentences) > 1 and sentences[1].strip() and len(final_text.split()) < max_length * 0.7: | |
| final_text += " " + sentences[1].strip() + "." | |
| final_text = final_text.replace("..", ".") | |
| logger.info(f"Guion generado final (Truncado a 100 chars): '{final_text[:100]}...'") | |
| return final_text.strip() | |
| logger.info(f"Guion generado final (sin oraciones completas detectadas - Truncado): '{cleaned_text[:100]}...'") | |
| return cleaned_text.strip() | |
| except Exception as e: | |
| logger.error(f"Error generando guion con GPT-2 (fuera del bloque de limpieza): {str(e)}", exc_info=True) | |
| logger.warning("Usando prompt original como guion debido al error de generación.") | |
| return prompt.strip() | |
| # Función TTS con voz especificada | |
| async def text_to_speech(text, output_path, voice): | |
| logger.info(f"Convirtiendo texto a voz | Caracteres: {len(text)} | Voz: {voice} | Salida: {output_path}") | |
| if not text or not text.strip(): | |
| logger.warning("Texto vacío para TTS") | |
| return False | |
| try: | |
| communicate = edge_tts.Communicate(text, voice) | |
| await communicate.save(output_path) | |
| if os.path.exists(output_path) and os.path.getsize(output_path) > 100: | |
| logger.info(f"Audio guardado exitosamente en: {output_path} | Tamaño: {os.path.getsize(output_path)} bytes") | |
| return True | |
| else: | |
| logger.error(f"TTS guardó un archivo pequeño o vacío en: {output_path}") | |
| return False | |
| except Exception as e: | |
| logger.error(f"Error en TTS con voz '{voice}': {str(e)}", exc_info=True) | |
| return False | |
| def download_video_file(url, temp_dir): | |
| if not url: | |
| logger.warning("URL de video no proporcionada para descargar") | |
| return None | |
| try: | |
| logger.info(f"Descargando video desde: {url[:80]}...") | |
| os.makedirs(temp_dir, exist_ok=True) | |
| file_name = f"video_dl_{datetime.now().strftime('%Y%m%d_%H%M%S_%f')}.mp4" | |
| output_path = os.path.join(temp_dir, file_name) | |
| with requests.get(url, stream=True, timeout=60) as r: | |
| r.raise_for_status() | |
| with open(output_path, 'wb') as f: | |
| for chunk in r.iter_content(chunk_size=8192): | |
| f.write(chunk) | |
| if os.path.exists(output_path) and os.path.getsize(output_path) > 1000: | |
| logger.info(f"Video descargado exitosamente: {output_path} | Tamaño: {os.path.getsize(output_path)} bytes") | |
| return output_path | |
| else: | |
| logger.warning(f"Descarga parece incompleta o vacía para {url[:80]}... Archivo: {output_path} Tamaño: {os.path.getsize(output_path) if os.path.exists(output_path) else 'N/A'} bytes") | |
| if os.path.exists(output_path): | |
| os.remove(output_path) | |
| return None | |
| except requests.exceptions.RequestException as e: | |
| logger.error(f"Error de descarga para {url[:80]}... : {str(e)}") | |
| except Exception as e: | |
| logger.error(f"Error inesperado descargando {url[:80]}... : {str(e)}", exc_info=True) | |
| return None | |
| def loop_audio_to_length(audio_clip, target_duration): | |
| logger.debug(f"Ajustando audio | Duración actual: {audio_clip.duration:.2f}s | Objetivo: {target_duration:.2f}s") | |
| if audio_clip is None or audio_clip.duration is None or audio_clip.duration <= 0: | |
| logger.warning("Input audio clip is invalid (None or zero duration), cannot loop.") | |
| try: | |
| sr = getattr(audio_clip, 'fps', 44100) if audio_clip else 44100 | |
| return AudioClip(lambda t: 0, duration=target_duration, sr=sr) | |
| except Exception as e: | |
| logger.error(f"Could not create silence clip: {e}", exc_info=True) | |
| return AudioFileClip(filename="") | |
| if audio_clip.duration >= target_duration: | |
| logger.debug("Audio clip already longer or equal to target. Trimming.") | |
| trimmed_clip = audio_clip.subclip(0, target_duration) | |
| if trimmed_clip.duration is None or trimmed_clip.duration <= 0: | |
| logger.error("Trimmed audio clip is invalid.") | |
| try: trimmed_clip.close() | |
| except: pass | |
| return AudioFileClip(filename="") | |
| return trimmed_clip | |
| loops = math.ceil(target_duration / audio_clip.duration) | |
| logger.debug(f"Creando {loops} loops de audio") | |
| audio_segments = [audio_clip] * loops | |
| looped_audio = None | |
| final_looped_audio = None | |
| try: | |
| looped_audio = concatenate_audioclips(audio_segments) | |
| if looped_audio.duration is None or looped_audio.duration <= 0: | |
| logger.error("Concatenated audio clip is invalid (None or zero duration).") | |
| raise ValueError("Invalid concatenated audio.") | |
| final_looped_audio = looped_audio.subclip(0, target_duration) | |
| if final_looped_audio.duration is None or final_looped_audio.duration <= 0: | |
| logger.error("Final subclipped audio clip is invalid (None or zero duration).") | |
| raise ValueError("Invalid final subclipped audio.") | |
| return final_looped_audio | |
| except Exception as e: | |
| logger.error(f"Error concatenating/subclipping audio clips for looping: {str(e)}", exc_info=True) | |
| try: | |
| if audio_clip.duration is not None and audio_clip.duration > 0: | |
| logger.warning("Returning original audio clip (may be too short).") | |
| return audio_clip.subclip(0, min(audio_clip.duration, target_duration)) | |
| except: | |
| pass | |
| logger.error("Fallback to original audio clip failed.") | |
| return AudioFileClip(filename="") | |
| finally: | |
| if looped_audio is not None and looped_audio is not final_looped_audio: | |
| try: looped_audio.close() | |
| except: pass | |
| def extract_visual_keywords_from_script(script_text): | |
| logger.info("Extrayendo palabras clave del guion") | |
| if not script_text or not script_text.strip(): | |
| logger.warning("Guion vacío, no se pueden extraer palabras clave.") | |
| return ["naturaleza", "ciudad", "paisaje"] | |
| clean_text = re.sub(r'[^\w\sáéíóúñÁÉÍÓÚÑ]', '', script_text) | |
| keywords_list = [] | |
| if kw_model: | |
| try: | |
| logger.debug("Intentando extracción con KeyBERT...") | |
| keywords1 = kw_model.extract_keywords(clean_text, keyphrase_ngram_range=(1, 1), stop_words='spanish', top_n=5) | |
| keywords2 = kw_model.extract_keywords(clean_text, keyphrase_ngram_range=(2, 2), stop_words='spanish', top_n=3) | |
| all_keywords = keywords1 + keywords2 | |
| all_keywords.sort(key=lambda item: item[1], reverse=True) | |
| seen_keywords = set() | |
| for keyword, score in all_keywords: | |
| formatted_keyword = keyword.lower().replace(" ", "+") | |
| if formatted_keyword and formatted_keyword not in seen_keywords: | |
| keywords_list.append(formatted_keyword) | |
| seen_keywords.add(formatted_keyword) | |
| if len(keywords_list) >= 5: | |
| break | |
| if keywords_list: | |
| logger.debug(f"Palabras clave extraídas por KeyBERT: {keywords_list}") | |
| return keywords_list | |
| except Exception as e: | |
| logger.warning(f"KeyBERT falló: {str(e)}. Intentando método simple.") | |
| logger.debug("Extrayendo palabras clave con método simple...") | |
| words = clean_text.lower().split() | |
| stop_words = {"el", "la", "los", "las", "de", "en", "y", "a", "que", "es", "un", "una", "con", "para", "del", "al", "por", "su", "sus", "se", "lo", "le", "me", "te", "nos", "os", "les", "mi", "tu", | |
| "nuestro", "vuestro", "este", "ese", "aquel", "esta", "esa", "aquella", "esto", "eso", "aquello", "mis", "tus", | |
| "nuestros", "vuestros", "estas", "esas", "aquellas", "si", "no", "más", "menos", "sin", "sobre", "bajo", "entre", "hasta", "desde", "durante", "mediante", "según", "versus", "via", "cada", "todo", "todos", "toda", "todas", "poco", "pocos", "poca", "pocas", "mucho", "muchos", "mucha", "muchas", "varios", "varias", "otro", "otros", "otra", "otras", "mismo", "misma", "mismos", "mismas", "tan", "tanto", "tanta", "tantos", "tantas", "tal", "tales", "cual", "cuales", "cuyo", "cuya", "cuyos", "cuyas", "quien", "quienes", "cuan", "cuanto", "cuanta", "cuantos", "cuantas", "como", "donde", "cuando", "porque", "aunque", "mientras", "siempre", "nunca", "jamás", "muy", "casi", "solo", "solamente", "incluso", "apenas", "quizás", "tal vez", "acaso", "claro", "cierto", "obvio", "evidentemente", "realmente", "simplemente", "generalmente", "especialmente", "principalmente", "posiblemente", "probablemente", "difícilmente", "fácilmente", "rápidamente", "lentamente", "bien", "mal", "mejor", "peor", "arriba", "abajo", "adelante", "atrás", "cerca", "lejos", "dentro", "fuera", "encima", "debajo", "frente", "detrás", "antes", "después", "luego", "pronto", "tarde", "todavía", "ya", "aun", "aún", "quizá"} | |
| valid_words = [word for word in words if len(word) > 3 and word not in stop_words] | |
| if not valid_words: | |
| logger.warning("No se encontraron palabras clave válidas con método simple. Usando palabras clave predeterminadas.") | |
| return ["naturaleza", "ciudad", "paisaje"] | |
| word_counts = Counter(valid_words) | |
| top_keywords = [word.replace(" ", "+") for word, _ in word_counts.most_common(5)] | |
| if not top_keywords: | |
| logger.warning("El método simple no produjo keywords. Usando palabras clave predeterminadas.") | |
| return ["naturaleza", "ciudad", "paisaje"] | |
| logger.info(f"Palabras clave finales: {top_keywords}") | |
| return top_keywords | |
| def crear_video(prompt_type, input_text, musica_file=None): | |
| logger.info("="*80) | |
| logger.info(f"INICIANDO CREACIÓN DE VIDEO | Tipo: {prompt_type}") | |
| logger.debug(f"Input: '{input_text[:100]}...'") | |
| start_time = datetime.now() | |
| temp_dir_intermediate = None | |
| audio_tts_original = None | |
| musica_audio_original = None | |
| audio_tts = None | |
| musica_audio = None | |
| video_base = None | |
| video_final = None | |
| source_clips = [] | |
| clips_to_concatenate = [] | |
| try: | |
| # 1. Generar o usar guion | |
| if prompt_type == "Generar Guion con IA": | |
| guion = generate_script(input_text) | |
| else: | |
| guion = input_text.strip() | |
| logger.info(f"Guion final ({len(guion)} chars): '{guion[:100]}...'") | |
| if not guion.strip(): | |
| logger.error("El guion resultante está vacío o solo contiene espacios.") | |
| raise ValueError("El guion está vacío.") | |
| temp_dir_intermediate = tempfile.mkdtemp(prefix="video_gen_intermediate_") | |
| logger.info(f"Directorio temporal intermedio creado: {temp_dir_intermediate}") | |
| temp_intermediate_files = [] | |
| # 2. Generar audio de voz con reintentos y voz de respaldo | |
| logger.info("Generando audio de voz...") | |
| voz_path = os.path.join(temp_dir_intermediate, "voz.mp3") | |
| primary_voice = "es-ES-JuanNeural" | |
| fallback_voice = "es-ES-ElviraNeural" # Otra voz en español | |
| tts_success = False | |
| retries = 3 | |
| for attempt in range(retries): | |
| current_voice = primary_voice if attempt == 0 else fallback_voice | |
| if attempt > 0: logger.warning(f"Reintentando TTS ({attempt+1}/{retries})...") | |
| logger.info(f"Intentando TTS con voz: {current_voice}") | |
| try: | |
| tts_success = asyncio.run(text_to_speech(guion, voz_path, voice=current_voice)) | |
| if tts_success: | |
| logger.info(f"TTS exitoso en intento {attempt + 1} con voz {current_voice}.") | |
| break | |
| except Exception as e: | |
| pass | |
| if not tts_success and attempt == 0 and primary_voice != fallback_voice: | |
| logger.warning(f"Fallo con voz {primary_voice}, intentando voz de respaldo: {fallback_voice}") | |
| elif not tts_success and attempt < retries - 1: | |
| logger.warning(f"Fallo con voz {current_voice}, reintentando...") | |
| if not tts_success or not os.path.exists(voz_path) or os.path.getsize(voz_path) <= 100: | |
| logger.error(f"Fallo en la generación de voz después de {retries} intentos. Archivo de audio no creado o es muy pequeño.") | |
| raise ValueError("Error generando voz a partir del guion (fallo de TTS).") | |
| temp_intermediate_files.append(voz_path) | |
| audio_tts_original = AudioFileClip(voz_path) | |
| if audio_tts_original.reader is None or audio_tts_original.duration is None or audio_tts_original.duration <= 0: | |
| logger.critical("Clip de audio TTS inicial es inválido (reader is None o duración <= 0) *después* de crear AudioFileClip.") | |
| try: audio_tts_original.close() | |
| except: pass | |
| audio_tts_original = None | |
| raise ValueError("Audio de voz generado es inválido después de procesamiento inicial.") | |
| audio_tts = audio_tts_original | |
| audio_duration = audio_tts_original.duration | |
| logger.info(f"Duración audio voz: {audio_duration:.2f} segundos") | |
| if audio_duration < 1.0: | |
| logger.error(f"Duración audio voz ({audio_duration:.2f}s) es muy corta.") | |
| raise ValueError("Generated voice audio is too short (min 1 second required).") | |
| # 3. Extraer palabras clave | |
| logger.info("Extrayendo palabras clave...") | |
| try: | |
| keywords = extract_visual_keywords_from_script(guion) | |
| logger.info(f"Palabras clave identificadas: {keywords}") | |
| except Exception as e: | |
| logger.error(f"Error extrayendo keywords: {str(e)}", exc_info=True) | |
| keywords = ["naturaleza", "paisaje"] | |
| if not keywords: | |
| keywords = ["video", "background"] | |
| # 4. Buscar y descargar videos | |
| logger.info("Buscando videos en Pexels...") | |
| videos_data = [] | |
| total_desired_videos = 10 | |
| per_page_per_keyword = max(1, total_desired_videos // len(keywords)) | |
| for keyword in keywords: | |
| if len(videos_data) >= total_desired_videos: break | |
| try: | |
| videos = buscar_videos_pexels(keyword, PEXELS_API_KEY, per_page=per_page_per_keyword) | |
| if videos: | |
| videos_data.extend(videos) | |
| logger.info(f"Encontrados {len(videos)} videos para '{keyword}'. Total data: {len(videos_data)}") | |
| except Exception as e: | |
| logger.warning(f"Error buscando videos para '{keyword}': {str(e)}") | |
| if len(videos_data) < total_desired_videos / 2: | |
| logger.warning(f"Pocos videos encontrados ({len(videos_data)}). Intentando con palabras clave genéricas.") | |
| generic_keywords = ["nature", "city", "background", "abstract"] | |
| for keyword in generic_keywords: | |
| if len(videos_data) >= total_desired_videos: break | |
| try: | |
| videos = buscar_videos_pexels(keyword, PEXELS_API_KEY, per_page=2) | |
| if videos: | |
| videos_data.extend(videos) | |
| logger.info(f"Encontrados {len(videos)} videos para '{keyword}' (genérico). Total data: {len(videos_data)}") | |
| except Exception as e: | |
| logger.warning(f"Error buscando videos genéricos para '{keyword}': {str(e)}") | |
| if not videos_data: | |
| logger.error("No se encontraron videos en Pexels para ninguna palabra clave.") | |
| raise ValueError("No se encontraron videos adecuados en Pexels.") | |
| video_paths = [] | |
| logger.info(f"Intentando descargar {len(videos_data)} videos encontrados...") | |
| for video in videos_data: | |
| if 'video_files' not in video or not video['video_files']: | |
| logger.debug(f"Saltando video sin archivos de video: {video.get('id')}") | |
| continue | |
| try: | |
| best_quality = None | |
| for vf in sorted(video['video_files'], key=lambda x: x.get('width', 0) * x.get('height', 0), reverse=True): | |
| if 'link' in vf: | |
| best_quality = vf | |
| break | |
| if best_quality and 'link' in best_quality: | |
| path = download_video_file(best_quality['link'], temp_dir_intermediate) | |
| if path: | |
| video_paths.append(path) | |
| temp_intermediate_files.append(path) | |
| logger.info(f"Video descargado OK desde {best_quality['link'][:50]}...") | |
| else: | |
| logger.warning(f"No se pudo descargar video desde {best_quality['link'][:50]}...") | |
| else: | |
| logger.warning(f"No se encontró enlace de descarga válido para video {video.get('id')}.") | |
| except Exception as e: | |
| logger.warning(f"Error procesando/descargando video {video.get('id')}: {str(e)}") | |
| logger.info(f"Descargados {len(video_paths)} archivos de video utilizables.") | |
| if not video_paths: | |
| logger.error("No se pudo descargar ningún archivo de video utilizable.") | |
| raise ValueError("No se pudo descargar ningún video utilizable de Pexels.") | |
| # 5. Procesar y concatenar clips de video | |
| logger.info("Procesando y concatenando videos descargados...") | |
| current_duration = 0 | |
| min_clip_duration = 0.5 | |
| max_clip_segment = 10.0 | |
| for i, path in enumerate(video_paths): | |
| if current_duration >= audio_duration + max_clip_segment: | |
| logger.debug(f"Video base suficiente ({current_duration:.1f}s >= {audio_duration:.1f}s + {max_clip_segment:.1f}s buffer). Dejando de procesar clips fuente restantes.") | |
| break | |
| clip = None | |
| try: | |
| logger.debug(f"[{i+1}/{len(video_paths)}] Abriendo clip: {path}") | |
| clip = VideoFileClip(path) | |
| source_clips.append(clip) | |
| if clip.reader is None or clip.duration is None or clip.duration <= 0: | |
| logger.warning(f"[{i+1}/{len(video_paths)}] Clip fuente {path} parece inválido (reader is None o duración <= 0). Saltando.") | |
| continue | |
| remaining_needed = audio_duration - current_duration | |
| potential_use_duration = min(clip.duration, max_clip_segment) | |
| if remaining_needed > 0: | |
| segment_duration = min(potential_use_duration, remaining_needed + min_clip_duration) | |
| segment_duration = max(min_clip_duration, segment_duration) | |
| segment_duration = min(segment_duration, clip.duration) | |
| if segment_duration >= min_clip_duration: | |
| try: | |
| sub = clip.subclip(0, segment_duration) | |
| if sub.reader is None or sub.duration is None or sub.duration <= 0: | |
| logger.warning(f"[{i+1}/{len(video_paths)}] Subclip generado de {path} es inválido. Saltando.") | |
| try: sub.close() | |
| except: pass | |
| continue | |
| clips_to_concatenate.append(sub) | |
| current_duration += sub.duration | |
| logger.debug(f"[{i+1}/{len(video_paths)}] Segmento añadido: {sub.duration:.1f}s (total video: {current_duration:.1f}/{audio_duration:.1f}s)") | |
| except Exception as sub_e: | |
| logger.warning(f"[{i+1}/{len(video_paths)}] Error creando subclip de {path} ({segment_duration:.1f}s): {str(sub_e)}") | |
| continue | |
| else: | |
| logger.debug(f"[{i+1}/{len(video_paths)}] Clip {path} ({clip.duration:.1f}s) no contribuye un segmento suficiente ({segment_duration:.1f}s necesario). Saltando.") | |
| else: | |
| logger.debug(f"[{i+1}/{len(video_paths)}] Duración de video base ya alcanzada. Saltando clip.") | |
| except Exception as e: | |
| logger.warning(f"[{i+1}/{len(video_paths)}] Error procesando video {path}: {str(e)}", exc_info=True) | |
| continue | |
| logger.info(f"Procesamiento de clips fuente finalizado. Se obtuvieron {len(clips_to_concatenate)} segmentos válidos.") | |
| if not clips_to_concatenate: | |
| logger.error("No hay segmentos de video válidos disponibles para crear la secuencia.") | |
| raise ValueError("No hay segmentos de video válidos disponibles para crear el video.") | |
| logger.info(f"Concatenando {len(clips_to_concatenate)} segmentos de video.") | |
| concatenated_base = None | |
| try: | |
| concatenated_base = concatenate_videoclips(clips_to_concatenate, method="chain") | |
| logger.info(f"Duración video base después de concatenación inicial: {concatenated_base.duration:.2f}s") | |
| if concatenated_base is None or concatenated_base.duration is None or concatenated_base.duration <= 0: | |
| logger.critical("Video base concatenado es inválido después de la primera concatenación (None o duración cero).") | |
| raise ValueError("Fallo al crear video base válido a partir de segmentos.") | |
| except Exception as e: | |
| logger.critical(f"Error durante la concatenación inicial: {str(e)}", exc_info=True) | |
| raise ValueError("Fallo durante la concatenación de video inicial.") | |
| finally: | |
| for clip_segment in clips_to_concatenate: | |
| try: clip_segment.close() | |
| except: pass | |
| clips_to_concatenate = [] | |
| video_base = concatenated_base | |
| final_video_base = video_base | |
| if final_video_base.duration < audio_duration: | |
| logger.info(f"Video base ({final_video_base.duration:.2f}s) es más corto que el audio ({audio_duration:.2f}s). Repitiendo...") | |
| num_full_repeats = int(audio_duration // final_video_base.duration) | |
| remaining_duration = audio_duration % final_video_base.duration | |
| repeated_clips_list = [final_video_base] * num_full_repeats | |
| if remaining_duration > 0: | |
| try: | |
| remaining_clip = final_video_base.subclip(0, remaining_duration) | |
| if remaining_clip is None or remaining_clip.duration is None or remaining_clip.duration <= 0: | |
| logger.warning(f"Subclip generado para duración restante {remaining_duration:.2f}s es inválido. Saltando.") | |
| try: remaining_clip.close() | |
| except: pass | |
| else: | |
| repeated_clips_list.append(remaining_clip) | |
| logger.debug(f"Añadiendo segmento restante: {remaining_duration:.2f}s") | |
| except Exception as e: | |
| logger.warning(f"Error creando subclip para duración restante {remaining_duration:.2f}s: {str(e)}") | |
| if repeated_clips_list: | |
| logger.info(f"Concatenando {len(repeated_clips_list)} partes para repetición.") | |
| video_base_repeated = None | |
| try: | |
| video_base_repeated = concatenate_videoclips(repeated_clips_list, method="chain") | |
| logger.info(f"Duración del video base repetido: {video_base_repeated.duration:.2f}s") | |
| if video_base_repeated is None or video_base_repeated.duration is None or video_base_repeated.duration <= 0: | |
| logger.critical("Video base repetido concatenado es inválido.") | |
| raise ValueError("Fallo al crear video base repetido válido.") | |
| if final_video_base is not video_base_repeated: | |
| try: final_video_base.close() | |
| except: pass | |
| final_video_base = video_base_repeated | |
| except Exception as e: | |
| logger.critical(f"Error durante la concatenación de repetición: {str(e)}", exc_info=True) | |
| raise ValueError("Fallo durante la repetición de video.") | |
| finally: | |
| if 'repeated_clips_list' in locals(): | |
| for clip in repeated_clips_list: | |
| if clip is not final_video_base: | |
| try: clip.close() | |
| except: pass | |
| if final_video_base.duration > audio_duration: | |
| logger.info(f"Recortando video base ({final_video_base.duration:.2f}s) para que coincida con la duración del audio ({audio_duration:.2f}s).") | |
| trimmed_video_base = None | |
| try: | |
| trimmed_video_base = final_video_base.subclip(0, audio_duration) | |
| if trimmed_video_base is None or trimmed_video_base.duration is None or trimmed_video_base.duration <= 0: | |
| logger.critical("Video base recortado es inválido.") | |
| raise ValueError("Fallo al crear video base recortado válido.") | |
| if final_video_base is not trimmed_video_base: | |
| try: final_video_base.close() | |
| except: pass | |
| final_video_base = trimmed_video_base | |
| except Exception as e: | |
| logger.critical(f"Error durante el recorte: {str(e)}", exc_info=True) | |
| raise ValueError("Fallo durante el recorte de video.") | |
| if final_video_base is None or final_video_base.duration is None or final_video_base.duration <= 0: | |
| logger.critical("Video base final es inválido antes de audio/escritura (None o duración cero).") | |
| raise ValueError("Video base final es inválido.") | |
| if final_video_base.size is None or final_video_base.size[0] <= 0 or final_video_base.size[1] <= 0: | |
| logger.critical(f"Video base final tiene tamaño inválido: {final_video_base.size}. No se puede escribir video.") | |
| raise ValueError("Video base final tiene tamaño inválido antes de escribir.") | |
| video_base = final_video_base | |
| # 6. Manejar música de fondo | |
| logger.info("Procesando audio...") | |
| final_audio = audio_tts_original | |
| musica_audio_looped = None | |
| if musica_file: | |
| musica_audio_original = None | |
| try: | |
| music_path = os.path.join(temp_dir_intermediate, "musica_bg.mp3") | |
| shutil.copyfile(musica_file, music_path) | |
| temp_intermediate_files.append(music_path) | |
| logger.info(f"Música de fondo copiada a: {music_path}") | |
| musica_audio_original = AudioFileClip(music_path) | |
| if musica_audio_original.reader is None or musica_audio_original.duration is None or musica_audio_original.duration <= 0: | |
| logger.warning("Clip de música de fondo parece inválido o tiene duración cero. Saltando música.") | |
| try: musica_audio_original.close() | |
| except: pass | |
| musica_audio_original = None | |
| else: | |
| musica_audio_looped = loop_audio_to_length(musica_audio_original, video_base.duration) | |
| logger.debug(f"Música ajustada a duración del video: {musica_audio_looped.duration:.2f}s") | |
| if musica_audio_looped is None or musica_audio_looped.duration is None or musica_audio_looped.duration <= 0: | |
| logger.warning("Clip de música de fondo loopeado es inválido. Saltando música.") | |
| try: musica_audio_looped.close() | |
| except: pass | |
| musica_audio_looped = None | |
| if musica_audio_looped: | |
| composite_audio = CompositeAudioClip([ | |
| musica_audio_looped.volumex(0.2), # Volumen 20% para música | |
| audio_tts_original.volumex(1.0) # Volumen 100% para voz | |
| ]) | |
| if composite_audio.duration is None or composite_audio.duration <= 0: | |
| logger.warning("Clip de audio compuesto es inválido (None o duración cero). Usando solo audio de voz.") | |
| try: composite_audio.close() | |
| except: pass | |
| final_audio = audio_tts_original | |
| else: | |
| logger.info("Mezcla de audio completada (voz + música).") | |
| final_audio = composite_audio | |
| musica_audio = musica_audio_looped # Asignar para limpieza | |
| except Exception as e: | |
| logger.warning(f"Error procesando música de fondo: {str(e)}", exc_info=True) | |
| final_audio = audio_tts_original | |
| musica_audio = None | |
| logger.warning("Usando solo audio de voz debido a un error con la música.") | |
| if final_audio.duration is not None and abs(final_audio.duration - video_base.duration) > 0.2: | |
| logger.warning(f"Duración del audio final ({final_audio.duration:.2f}s) difiere significativamente del video base ({video_base.duration:.2f}s). Intentando recorte.") | |
| try: | |
| if final_audio.duration > video_base.duration: | |
| trimmed_final_audio = final_audio.subclip(0, video_base.duration) | |
| if trimmed_final_audio is None or trimmed_final_audio.duration <= 0: | |
| logger.warning("Audio final recortado es inválido. Usando audio final original.") | |
| try: trimmed_final_audio.close() | |
| except: pass | |
| else: | |
| if final_audio is not trimmed_final_audio: | |
| try: final_audio.close() | |
| except: pass | |
| final_audio = trimmed_final_audio | |
| logger.warning("Audio final recortado para que coincida con la duración del video.") | |
| except Exception as e: | |
| logger.warning(f"Error ajustando duración del audio final: {str(e)}") | |
| # 7. Crear video final | |
| logger.info("Renderizando video final...") | |
| video_final = video_base.set_audio(final_audio) | |
| if video_final is None or video_final.duration is None or video_final.duration <= 0: | |
| logger.critical("Clip de video final (con audio) es inválido antes de escribir (None o duración cero).") | |
| raise ValueError("Clip de video final es inválido antes de escribir.") | |
| output_filename = "final_video.mp4" | |
| output_path = os.path.join(temp_dir_intermediate, output_filename) | |
| logger.info(f"Escribiendo video final a: {output_path}") | |
| video_final.write_videofile( | |
| output_path, | |
| fps=24, | |
| threads=4, | |
| codec="libx264", | |
| audio_codec="aac", | |
| preset="medium", | |
| logger='bar' | |
| ) | |
| total_time = (datetime.now() - start_time).total_seconds() | |
| logger.info(f"PROCESO DE VIDEO FINALIZADO | Output: {output_path} | Tiempo total: {total_time:.2f}s") | |
| return output_path | |
| except ValueError as ve: | |
| logger.error(f"ERROR CONTROLADO en crear_video: {str(ve)}") | |
| raise ve | |
| except Exception as e: | |
| logger.critical(f"ERROR CRÍTICO NO CONTROLADO en crear_video: {str(e)}", exc_info=True) | |
| raise e | |
| finally: | |
| logger.info("Iniciando limpieza de clips y archivos temporales intermedios...") | |
| for clip in source_clips: | |
| try: | |
| clip.close() | |
| except Exception as e: | |
| logger.warning(f"Error cerrando clip de video fuente en finally: {str(e)}") | |
| for clip_segment in clips_to_concatenate: | |
| try: | |
| clip_segment.close() | |
| except Exception as e: | |
| logger.warning(f"Error cerrando segmento de video en finally: {str(e)}") | |
| if musica_audio is not None: | |
| try: | |
| musica_audio.close() | |
| except Exception as e: | |
| logger.warning(f"Error cerrando musica_audio (procesada) en finally: {str(e)}") | |
| if musica_audio_original is not None and musica_audio_original is not musica_audio: | |
| try: | |
| musica_audio_original.close() | |
| except Exception as e: | |
| logger.warning(f"Error cerrando musica_audio_original en finally: {str(e)}") | |
| if audio_tts is not None and audio_tts is not audio_tts_original: | |
| try: | |
| audio_tts.close() | |
| except Exception as e: | |
| logger.warning(f"Error cerrando audio_tts (procesada) en finally: {str(e)}") | |
| if audio_tts_original is not None: | |
| try: | |
| audio_tts_original.close() | |
| except Exception as e: | |
| logger.warning(f"Error cerrando audio_tts_original en finally: {str(e)}") | |
| if video_final is not None: | |
| try: | |
| video_final.close() | |
| except Exception as e: | |
| logger.warning(f"Error cerrando video_final en finally: {str(e)}") | |
| elif video_base is not None and video_base is not video_final: | |
| try: | |
| video_base.close() | |
| except Exception as e: | |
| logger.warning(f"Error cerrando video_base en finally: {str(e)}") | |
| if temp_dir_intermediate and os.path.exists(temp_dir_intermediate): | |
| final_output_in_temp = os.path.join(temp_dir_intermediate, "final_video.mp4") | |
| for path in temp_intermediate_files: | |
| try: | |
| if os.path.isfile(path) and path != final_output_in_temp: | |
| logger.debug(f"Eliminando archivo temporal intermedio: {path}") | |
| os.remove(path) | |
| elif os.path.isfile(path) and path == final_output_in_temp: | |
| logger.debug(f"Saltando eliminación del archivo de video final: {path}") | |
| except Exception as e: | |
| logger.warning(f"No se pudo eliminar archivo temporal intermedio {path}: {str(e)}") | |
| logger.info(f"Directorio temporal intermedio {temp_dir_intermediate} persistirá para que Gradio lea el video final.") | |
| # La función run_app ahora recibe todos los inputs de texto y el archivo de música | |
| def run_app(prompt_type, prompt_ia, prompt_manual, musica_file): | |
| logger.info("="*80) | |
| logger.info("SOLICITUD RECIBIDA EN INTERFAZ") | |
| # Elegir el texto de entrada basado en el prompt_type | |
| input_text = prompt_ia if prompt_type == "Generar Guion con IA" else prompt_manual | |
| output_video = None | |
| output_file = None | |
| status_msg = gr.update(value="⏳ Procesando...", interactive=False) | |
| if not input_text or not input_text.strip(): | |
| logger.warning("Texto de entrada vacío.") | |
| # Retornar None para video y archivo, actualizar estado con mensaje de error | |
| return None, None, gr.update(value="⚠️ Por favor, ingresa texto para el guion o el tema.", interactive=False) | |
| logger.info(f"Tipo de entrada: {prompt_type}") | |
| logger.debug(f"Texto de entrada: '{input_text[:100]}...'") | |
| if musica_file: | |
| logger.info(f"Archivo de música recibido: {musica_file}") | |
| else: | |
| logger.info("No se proporcionó archivo de música.") | |
| try: | |
| logger.info("Llamando a crear_video...") | |
| # Pasar el input_text elegido y el archivo de música a crear_video | |
| video_path = crear_video(prompt_type, input_text, musica_file) | |
| if video_path and os.path.exists(video_path): | |
| logger.info(f"crear_video retornó path: {video_path}") | |
| logger.info(f"Tamaño del archivo de video retornado: {os.path.getsize(video_path)} bytes") | |
| output_video = video_path # Establecer valor del componente de video | |
| output_file = video_path # Establecer valor del componente de archivo para descarga | |
| status_msg = gr.update(value="✅ Video generado exitosamente.", interactive=False) | |
| else: | |
| logger.error(f"crear_video no retornó un path válido o el archivo no existe: {video_path}") | |
| status_msg = gr.update(value="❌ Error: La generación del video falló o el archivo no se creó correctamente.", interactive=False) | |
| except ValueError as ve: | |
| logger.warning(f"Error de validación durante la creación del video: {str(ve)}") | |
| status_msg = gr.update(value=f"⚠️ Error de validación: {str(ve)}", interactive=False) | |
| except Exception as e: | |
| logger.critical(f"Error crítico durante la creación del video: {str(e)}", exc_info=True) | |
| status_msg = gr.update(value=f"❌ Error inesperado: {str(e)}", interactive=False) | |
| finally: | |
| logger.info("Fin del handler run_app.") | |
| # Retornar las tres salidas esperadas por el evento click | |
| return output_video, output_file, status_msg | |
| # Interfaz de Gradio | |
| with gr.Blocks(title="Generador de Videos con IA", theme=gr.themes.Soft(), css=""" | |
| .gradio-container {max-width: 800px; margin: auto;} | |
| h1 {text-align: center;} | |
| """) as app: | |
| gr.Markdown("# 🎬 Generador Automático de Videos con IA") | |
| gr.Markdown("Genera videos cortos a partir de un tema o guion, usando imágenes de archivo de Pexels y voz generada.") | |
| with gr.Row(): | |
| with gr.Column(): | |
| prompt_type = gr.Radio( | |
| ["Generar Guion con IA", "Usar Mi Guion"], | |
| label="Método de Entrada", | |
| value="Generar Guion con IA" | |
| ) | |
| # Contenedores para los campos de texto para controlar la visibilidad | |
| # Nombrados para que coincidan con los outputs del evento change | |
| with gr.Column(visible=True) as ia_guion_column: | |
| prompt_ia = gr.Textbox( | |
| label="Tema para IA", | |
| lines=2, | |
| placeholder="Ej: Un paisaje natural con montañas y ríos al amanecer, mostrando la belleza de la naturaleza...", | |
| max_lines=4, | |
| value="" | |
| ) | |
| with gr.Column(visible=False) as manual_guion_column: | |
| prompt_manual = gr.Textbox( | |
| label="Tu Guion Completo", | |
| lines=5, | |
| placeholder="Ej: En este video exploraremos los misterios del océano. Veremos la vida marina fascinante y los arrecifes de coral vibrantes. ¡Acompáñanos en esta aventura subacuática!", | |
| max_lines=10, | |
| value="" | |
| ) | |
| musica_input = gr.Audio( | |
| label="Música de fondo (opcional)", | |
| type="filepath", | |
| interactive=True, | |
| value=None | |
| ) | |
| generate_btn = gr.Button("✨ Generar Video", variant="primary") | |
| with gr.Column(): | |
| video_output = gr.Video( | |
| label="Previsualización del Video Generado", | |
| interactive=False, | |
| height=400 | |
| ) | |
| file_output = gr.File( | |
| label="Descargar Archivo de Video", | |
| interactive=False, | |
| visible=False # Ocultar inicialmente | |
| ) | |
| status_output = gr.Textbox( | |
| label="Estado", | |
| interactive=False, | |
| show_label=False, | |
| placeholder="Esperando acción...", | |
| value="Esperando entrada..." | |
| ) | |
| # Evento para mostrar/ocultar los campos de texto según el tipo de prompt | |
| # Apuntar a los componentes Column padre para controlar la visibilidad | |
| prompt_type.change( | |
| lambda x: (gr.update(visible=x == "Generar Guion con IA"), | |
| gr.update(visible=x == "Usar Mi Guion")), | |
| inputs=prompt_type, | |
| # Pasar los componentes Column | |
| outputs=[ia_guion_column, manual_guion_column] | |
| ) | |
| # Evento click del botón de generar video | |
| generate_btn.click( | |
| # Acción 1 (síncrona): Resetear salidas y establecer estado a procesando | |
| # Retorna None para los 3 outputs iniciales | |
| lambda: (None, None, gr.update(value="⏳ Procesando... Esto puede tomar varios minutos.", interactive=False)), | |
| outputs=[video_output, file_output, status_output], | |
| queue=True, # Usar la cola de Gradio para tareas largas | |
| ).then( | |
| # Acción 2 (asíncrona): Llamar a la función principal de procesamiento | |
| run_app, | |
| # PASAR TODOS LOS INPUTS DE LA INTERFAZ que run_app espera | |
| inputs=[prompt_type, prompt_ia, prompt_manual, musica_input], | |
| # run_app retornará los 3 outputs esperados aquí | |
| outputs=[video_output, file_output, status_output] | |
| ).then( | |
| # Acción 3 (síncrona): Hacer visible el enlace de descarga si se retornó un archivo | |
| # Esta función recibe las salidas de la Acción 2 (video_path, file_path, status_msg) | |
| # Solo necesitamos video_path o file_path para decidir si mostrar el enlace | |
| lambda video_path, file_path, status_msg: gr.update(visible=file_path is not None), | |
| # Inputs son las salidas de la función .then() anterior | |
| inputs=[video_output, file_output, status_output], | |
| # Actualizamos la visibilidad del componente file_output | |
| outputs=[file_output] | |
| ) | |
| gr.Markdown("### Instrucciones:") | |
| gr.Markdown(""" | |
| 1. **Clave API de Pexels:** Asegúrate de haber configurado la variable de entorno `PEXELS_API_KEY` con tu clave. | |
| 2. **Selecciona el tipo de entrada**: | |
| - "Generar Guion con IA": Describe brevemente un tema (ej. "La belleza de las montañas"). La IA generará un guion corto. | |
| - "Usar Mi Guion": Escribe el guion completo que quieres para el video. | |
| 3. **Sube música** (opcional): Selecciona un archivo de audio (MP3, WAV, etc.) para usar como música de fondo. | |
| 4. **Haz clic en "✨ Generar Video"**. | |
| 5. Espera a que se procese el video. El tiempo de espera puede variar. Verás el estado en el cuadro de texto. | |
| 6. La previsualización del video aparecerá arriba (puede fallar para archivos grandes), y un enlace **Descargar Archivo de Video** se mostrará si la generación fue exitosa. | |
| 7. Si hay errores, revisa el log `video_generator_full.log` para más detalles. | |
| """) | |
| gr.Markdown("---") | |
| gr.Markdown("Desarrollado por [Tu Nombre/Empresa/Alias - Opcional]") | |
| if __name__ == "__main__": | |
| logger.info("Verificando dependencias críticas...") | |
| try: | |
| from moviepy.editor import ColorClip | |
| try: | |
| temp_clip = ColorClip((100,100), color=(255,0,0), duration=0.1) | |
| temp_clip.close() | |
| logger.info("Clips base de MoviePy (como ColorClip) creados y cerrados exitosamente. FFmpeg parece accesible.") | |
| except Exception as e: | |
| logger.critical(f"Fallo al crear clip base de MoviePy. A menudo indica problemas con FFmpeg/ImageMagick. Error: {e}", exc_info=True) | |
| except Exception as e: | |
| logger.critical(f"Fallo al importar MoviePy. Asegúrate de que está instalado. Error: {e}", exc_info=True) | |
| logger.info("Iniciando aplicación Gradio...") | |
| try: | |
| app.launch(server_name="0.0.0.0", server_port=7860, share=False) | |
| except Exception as e: | |
| logger.critical(f"No se pudo iniciar la app: {str(e)}", exc_info=True) | |
| raise |