Create config.py

config.py

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+from functools import lru_cache
+from typing import List
+
+from pydantic_settings import BaseSettings
+
+
+class Settings(BaseSettings):
+    """Application settings optimized for CPU deployment."""
+    
+    # Application metadata
+    app_name: str = "Vision"
+    app_version: str = "1.0.0"
+    
+    # Model settings - Using official ONNX model with Q4 for speed
+    model_id: str = "LiquidAI/LFM2.5-VL-1.6B-ONNX"
+    encoder_variant: str = "q4"  
+    decoder_variant: str = "q4"
+    
+    # Server settings (same as lfm-text for consistency)
+    host: str = "0.0.0.0"
+    port: int = 7860
+    
+    # CORS settings
+    cors_origins: List[str] = ["*"]
+    
+    # Vision processing settings
+    min_image_tokens: int = 64
+    max_image_tokens: int = 256
+    do_image_splitting: bool = True
+    
+    # Supported image formats
+    supported_formats: List[str] = ["jpeg", "jpg", "png", "gif", "webp", "bmp"]
+    max_image_size_mb: int = 10
+    
+    # Generation defaults (from LiquidAI recommendations)
+    temperature: float = 0.1
+    top_k: int = 50
+    top_p: float = 0.5
+    min_p: float = 0.15
+    max_tokens: int = 1024
+    repetition_penalty: float = 1.05
+    
+    # CPU optimization
+    num_threads: int = 2  # Optimized for 2 vCPU
+    
+    # Logging
+    log_level: str = "info"
+    
+    class Config:
+        env_prefix = "LFMVL_"
+
+
+@lru_cache()
+def get_settings() -> Settings:
+    """Get cached settings."""
+    return Settings()
+
+
+settings = get_settings()