.env.example

# ==============================================
# ImageScreenAI - Environment Configuration
# ==============================================

# Application
APP_NAME="ImageScreenAI"
VERSION="1.0.0"
DEBUG=False
LOG_LEVEL="INFO"

# Server Configuration
HOST="0.0.0.0"
PORT=7860
WORKERS=1

# File Processing
MAX_FILE_SIZE_MB=10
MAX_BATCH_SIZE=50
ALLOWED_EXTENSIONS=".jpg,.jpeg,.png,.webp"

# Detection Thresholds
REVIEW_THRESHOLD=0.65

# Metric Weights (must sum to 1.0)
GRADIENT_WEIGHT=0.30
FREQUENCY_WEIGHT=0.25
NOISE_WEIGHT=0.20
TEXTURE_WEIGHT=0.15
COLOR_WEIGHT=0.10

# Processing Configuration
ENABLE_CACHING=True
PROCESSING_TIMEOUT=30
PARALLEL_PROCESSING=False
MAX_WORKERS=1

# Paths (relative to project root)
BASE_DIR="."
UPLOAD_DIR="data/uploads"
REPORTS_DIR="data/reports"
CACHE_DIR="data/cache"
LOGS_DIR="logs"

# =========================================
# Hugging Face Spaces Specific
# =========================================
# These are automatically set by HF Spaces
# HF_SPACE_ID=""
# HF_SPACE_HOST=""

# =========================================
# Production Recommendations
# =========================================
# - Set DEBUG=False
# - Set LOG_LEVEL="WARNING" or "ERROR"
# - Adjust WORKERS based on available CPU cores
# - Enable PARALLEL_PROCESSING if CPU cores > 2
# - Set appropriate MAX_FILE_SIZE_MB for your use case
# =========================================