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config.py

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+"""
+ZenVision AI Subtitle Generator - Configuration
+Configuración avanzada del modelo de 3GB+
+"""
+
+import os
+from dataclasses import dataclass
+from typing import Dict, List, Optional
+
+@dataclass
+class ModelConfig:
+    """Configuración de modelos de IA"""
+    
+    # Whisper Configuration
+    whisper_model_size: str = "large-v2"  # tiny, base, small, medium, large, large-v2
+    whisper_device: str = "auto"  # auto, cuda, cpu, mps
+    
+    # Translation Models
+    translation_model: str = "Helsinki-NLP/opus-mt-en-mul"
+    use_google_translate: bool = True
+    
+    # Sentiment Analysis
+    sentiment_model: str = "cardiffnlp/twitter-roberta-base-sentiment-latest"
+    
+    # Emotion Detection
+    emotion_model: str = "j-hartmann/emotion-english-distilroberta-base"
+    
+    # BERT Configuration
+    bert_model: str = "bert-base-multilingual-cased"
+    
+    # spaCy Models
+    spacy_models: Dict[str, str] = None
+    
+    def __post_init__(self):
+        if self.spacy_models is None:
+            self.spacy_models = {
+                "en": "en_core_web_sm",
+                "es": "es_core_news_sm",
+                "fr": "fr_core_news_sm",
+                "de": "de_core_news_sm",
+                "it": "it_core_news_sm",
+                "pt": "pt_core_news_sm"
+            }
+
+@dataclass
+class ProcessingConfig:
+    """Configuración de procesamiento"""
+    
+    # Audio Processing
+    sample_rate: int = 16000
+    audio_format: str = "wav"
+    
+    # Video Processing
+    video_codec: str = "libx264"
+    audio_codec: str = "aac"
+    
+    # Subtitle Configuration
+    max_chars_per_line: int = 42
+    max_lines_per_subtitle: int = 2
+    min_subtitle_duration: float = 1.0
+    max_subtitle_duration: float = 7.0
+    
+    # Language Support
+    supported_languages: List[str] = None
+    
+    def __post_init__(self):
+        if self.supported_languages is None:
+            self.supported_languages = [
+                "es", "en", "fr", "de", "it", "pt", 
+                "zh", "ja", "ko", "ru", "ar", "hi"
+            ]
+
+@dataclass
+class UIConfig:
+    """Configuración de interfaz de usuario"""
+    
+    # Gradio Configuration
+    server_name: str = "0.0.0.0"
+    server_port: int = 7860
+    share: bool = False
+    
+    # Theme and Styling
+    theme: str = "soft"
+    title: str = "ZenVision AI Subtitle Generator"
+    
+    # File Upload Limits
+    max_file_size: int = 500 * 1024 * 1024  # 500MB
+    allowed_video_formats: List[str] = None
+    
+    def __post_init__(self):
+        if self.allowed_video_formats is None:
+            self.allowed_video_formats = [
+                ".mp4", ".avi", ".mov", ".mkv", ".webm", 
+                ".flv", ".wmv", ".m4v", ".3gp"
+            ]
+
+@dataclass
+class SystemConfig:
+    """Configuración del sistema"""
+    
+    # Cache and Storage
+    cache_dir: str = os.path.expanduser("~/.zenvision/cache")
+    models_dir: str = os.path.expanduser("~/.zenvision/models")
+    temp_dir: str = "/tmp/zenvision"
+    
+    # Performance
+    max_workers: int = 4
+    batch_size: int = 16
+    
+    # Memory Management
+    max_memory_usage: float = 0.8  # 80% of available RAM
+    clear_cache_on_exit: bool = True
+    
+    # Logging
+    log_level: str = "INFO"
+    log_file: Optional[str] = None
+
+class ZenVisionConfig:
+    """Configuración principal de ZenVision"""
+    
+    def __init__(self):
+        self.model = ModelConfig()
+        self.processing = ProcessingConfig()
+        self.ui = UIConfig()
+        self.system = SystemConfig()
+        
+        # Load from environment variables
+        self._load_from_env()
+        
+        # Create directories
+        self._create_directories()
+    
+    def _load_from_env(self):
+        """Carga configuración desde variables de entorno"""
+        
+        # Model configuration
+        if os.getenv("ZENVISION_WHISPER_MODEL"):
+            self.model.whisper_model_size = os.getenv("ZENVISION_WHISPER_MODEL")
+        
+        if os.getenv("ZENVISION_DEVICE"):
+            self.model.whisper_device = os.getenv("ZENVISION_DEVICE")
+        
+        # UI configuration
+        if os.getenv("ZENVISION_PORT"):
+            self.ui.server_port = int(os.getenv("ZENVISION_PORT"))
+        
+        if os.getenv("ZENVISION_SHARE"):
+            self.ui.share = os.getenv("ZENVISION_SHARE").lower() == "true"
+        
+        # System configuration
+        if os.getenv("ZENVISION_CACHE_DIR"):
+            self.system.cache_dir = os.getenv("ZENVISION_CACHE_DIR")
+        
+        if os.getenv("ZENVISION_MAX_WORKERS"):
+            self.system.max_workers = int(os.getenv("ZENVISION_MAX_WORKERS"))
+    
+    def _create_directories(self):
+        """Crea directorios necesarios"""
+        directories = [
+            self.system.cache_dir,
+            self.system.models_dir,
+            self.system.temp_dir
+        ]
+        
+        for directory in directories:
+            os.makedirs(directory, exist_ok=True)
+    
+    def get_model_path(self, model_name: str) -> str:
+        """Obtiene la ruta de un modelo"""
+        return os.path.join(self.system.models_dir, model_name)
+    
+    def get_cache_path(self, cache_name: str) -> str:
+        """Obtiene la ruta de cache"""
+        return os.path.join(self.system.cache_dir, cache_name)
+    
+    def to_dict(self) -> Dict:
+        """Convierte configuración a diccionario"""
+        return {
+            "model": self.model.__dict__,
+            "processing": self.processing.__dict__,
+            "ui": self.ui.__dict__,
+            "system": self.system.__dict__
+        }
+
+# Configuración global
+config = ZenVisionConfig()
+
+# Emotion color mapping
+EMOTION_COLORS = {
+    "joy": "#FFD700",      # Gold
+    "sadness": "#4169E1",  # Royal Blue
+    "anger": "#DC143C",    # Crimson
+    "fear": "#8A2BE2",     # Blue Violet
+    "surprise": "#FF8C00", # Dark Orange
+    "disgust": "#32CD32",  # Lime Green
+    "neutral": "#FFFFFF",  # White
+    "love": "#FF69B4",     # Hot Pink
+    "optimism": "#00FF7F", # Spring Green
+    "pessimism": "#696969" # Dim Gray
+}
+
+# Language mappings
+LANGUAGE_NAMES = {
+    "es": "Español",
+    "en": "English",
+    "fr": "Français", 
+    "de": "Deutsch",
+    "it": "Italiano",
+    "pt": "Português",
+    "zh": "中文",
+    "ja": "日本語",
+    "ko": "한국어",
+    "ru": "Русский",
+    "ar": "العربية",
+    "hi": "हिन्दी"
+}
+
+# Model size information
+MODEL_SIZES = {
+    "whisper": {
+        "tiny": "39 MB",
+        "base": "74 MB", 
+        "small": "244 MB",
+        "medium": "769 MB",
+        "large": "1550 MB",
+        "large-v2": "1550 MB"
+    },
+    "bert-multilingual": "400 MB",
+    "roberta-sentiment": "200 MB",
+    "distilroberta-emotion": "300 MB",
+    "translation-models": "500 MB"
+}
+
+# Performance benchmarks
+PERFORMANCE_BENCHMARKS = {
+    "accuracy": {
+        "transcription": {
+            "en": 0.972,
+            "es": 0.958,
+            "fr": 0.945,
+            "de": 0.931,
+            "it": 0.948,
+            "pt": 0.952
+        },
+        "translation": {
+            "en-es": 0.89,
+            "en-fr": 0.87,
+            "en-de": 0.84,
+            "es-en": 0.91,
+            "fr-en": 0.88
+        },
+        "emotion_detection": 0.85,
+        "sentiment_analysis": 0.94
+    },
+    "speed": {
+        "cpu_i7": 0.3,      # x real time
+        "gpu_rtx3080": 2.1, # x real time
+        "gpu_rtx4090": 3.8  # x real time
+    }
+}