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"""
Configuration settings for the QuickDraw API.
Modify these settings based on your deployment needs.
"""
import os
from typing import List
class Settings:
"""Application settings"""
# API Settings
API_TITLE: str = "QuickDraw Sketch Recognition API"
API_VERSION: str = "1.0.0"
API_DESCRIPTION: str = "API for recognizing hand-drawn sketches for VR/AR applications"
# Server Settings
HOST: str = "0.0.0.0"
PORT: int = 8000
RELOAD: bool = False # Set to True for development
# CORS Settings
CORS_ORIGINS: List[str] = ["*"] # In production, specify allowed origins
CORS_ALLOW_CREDENTIALS: bool = True
CORS_ALLOW_METHODS: List[str] = ["*"]
CORS_ALLOW_HEADERS: List[str] = ["*"]
# Model Settings
MODEL_PATH: str = os.path.join("saved_models", "quickdraw_house_cat_dog_car.keras")
CLASS_NAMES: List[str] = [
# Animals (7)
"cat", "dog", "bird", "fish", "bear", "butterfly", "spider",
# Buildings & Structures (6)
"house", "castle", "barn", "bridge", "lighthouse", "church",
# Transportation (5)
"car", "airplane", "bicycle", "truck", "train",
# Nature (6)
"tree", "flower", "sun", "moon", "cloud", "mountain",
# Common Objects (7)
"apple", "banana", "book", "chair", "table", "cup", "umbrella",
# People & Body (4)
"face", "eye", "hand", "foot",
# Shapes (4)
"circle", "triangle", "square", "star",
# Tools & Items (5)
"sword", "axe", "hammer", "key", "crown",
# Musical Instruments (2)
"guitar", "piano"
]
# Prediction Settings
DEFAULT_TOP_K: int = 3
CONFIDENCE_THRESHOLD: float = 0.5 # Minimum confidence for valid predictions
# Image Processing Settings
INPUT_IMAGE_SIZE: tuple = (28, 28)
GRAYSCALE: bool = True
NORMALIZE: bool = True # Normalize pixel values to [0, 1]
# Logging
LOG_LEVEL: str = "INFO" # DEBUG, INFO, WARNING, ERROR, CRITICAL
# Create a singleton instance
settings = Settings()
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