docs/guides/configuration.md

Configuration

All settings can be configured via environment variables.

Environment Variables

Variable	Default	Description
STROKE_DEMO_LOG_LEVEL	INFO	Logging level (DEBUG, INFO, WARNING, ERROR)
STROKE_DEMO_LOG_FORMAT	simple	Log format (simple, detailed, json)
STROKE_DEMO_HF_DATASET_ID	YongchengYAO/ISLES24-MR-Lite	HuggingFace dataset ID
STROKE_DEMO_HF_CACHE_DIR	None	Custom HF cache directory
STROKE_DEMO_HF_TOKEN	None	HuggingFace API token (for private datasets)
STROKE_DEMO_DEEPISLES_DOCKER_IMAGE	isleschallenge/deepisles	DeepISLES Docker image
STROKE_DEMO_DEEPISLES_FAST_MODE	true	Use single-model mode
STROKE_DEMO_DEEPISLES_TIMEOUT_SECONDS	1800	Inference timeout
STROKE_DEMO_DEEPISLES_USE_GPU	true	Use GPU acceleration
STROKE_DEMO_TEMP_DIR	None	Scratch directory for intermediate files
STROKE_DEMO_RESULTS_DIR	./results	Directory for output files
STROKE_DEMO_GRADIO_SERVER_NAME	0.0.0.0	Gradio server host
STROKE_DEMO_GRADIO_SERVER_PORT	7860	Gradio server port
STROKE_DEMO_GRADIO_SHARE	false	Create public Gradio link

Using .env File

Create a .env file in the project root:

STROKE_DEMO_LOG_LEVEL=DEBUG
STROKE_DEMO_DEEPISLES_USE_GPU=false
STROKE_DEMO_RESULTS_DIR=/data/results

Programmatic Configuration

from stroke_deepisles_demo.core.config import get_settings, reload_settings
import os

# Check current settings
print(get_settings().log_level)

# Override via environment
os.environ["STROKE_DEMO_LOG_LEVEL"] = "DEBUG"
reload_settings()
print(get_settings().log_level)  # DEBUG