updated config file

config.py

@@ -1,73 +1,25 @@
 from typing import Dict, Any, List
-from pydantic import BaseModel, Field
 from pydantic_settings import BaseSettings
 
-class DifficultyConfig(BaseModel):
-    jokers_high_similarity: int
-    jokers_medium_similarity: int
-    words_per_joker: int
-    similarity_threshold: float
-    time_limit: int
-
-class JokerRangeConfig(BaseModel):
-    min: float
-    max: float
-
-class JokerConfig(BaseModel):
-    similarity_ranges: Dict[str, JokerRangeConfig]
-    cooldown: int
-
-class ScoringConfig(BaseModel):
-    base_points: int
-    time_bonus: Dict[str, Any]
-    joker_penalty: Dict[str, int]
-    streak_bonus: Dict[str, Any]
-
-class GameRulesConfig(BaseModel):
-    max_attempts: int
-    min_word_length: int
-    show_target_word: bool
-    allow_partial_matches: bool
-
-class GameConfig(BaseModel):
-    difficulty: Dict[str, DifficultyConfig]
-    jokers: JokerConfig
-    scoring: ScoringConfig
-    rules: GameRulesConfig
-    interface: Dict[str, Any]
-    word_selection: Dict[str, Any]
-    progression: Dict[str, Any]
-
 class Settings(BaseSettings):
     model_config = {
         'protected_namespaces': (),
         'env_prefix': "SEMANTIX_"
     }
 
-    # Keep only ML-related settings
+    # ML API settings
     app_name: str = "Semantix ML API"
     version: str = "1.0.0"
     debug: bool = False
     model_url: str = "https://huggingface.co/Miroir/cc.fr.300.reduced/resolve/main/cc.fr.300.reduced.vec"
     
-    class Config:
-        env_prefix = "SEMANTIX_"
-
-    def get_current_game_config(self) -> GameConfig:
-        """Get the current game configuration based on difficulty."""
-        return GameConfig(**self.game_config)
-
-    def get_current_difficulty_config(self) -> DifficultyConfig:
-        """Get the current difficulty configuration."""
-        return DifficultyConfig(**self.game_config["difficulty"][self.current_difficulty])
+    # ML model constants
+    similarity_threshold: float = 0.99
+    default_similar_words_count: int = 20
+    cache_size: int = 1000
 
 # Create settings instance
 settings = Settings()
 
-# Define available difficulty levels
-DIFFICULTY_LEVELS = ["easy", "medium", "hard"]
-
-# Export default config values as constants
-DEFAULT_SIMILARITY_THRESHOLD = 0.99
-DEFAULT_JOKER_COOLDOWN = 3
-DEFAULT_HISTORY_SIZE = 50
+# ML-related constants
+DEFAULT_SIMILARITY_THRESHOLD = 0.99