.env.sample

# Gnosis OCR Environment Configuration Example
# Copy this file to .env for local development and .env.cloudrun for cloud deployment.

# --- Core Service Settings ---
# The internal port the application listens on. For local, docker-compose maps this to 7799.
# For Cloud Run, this is set to 8080 by the deployment script.
PORT=8080
HOST=0.0.0.0
LOG_LEVEL=INFO

# Set to true in .env.cloudrun, false in .env
RUNNING_IN_CLOUD=false

# --- Model & Processing ---
MODEL_NAME=nanonets/Nanonets-OCR-s

# Set to 'cuda' for local GPU, 'cpu' or 'cuda' for cloud.
DEVICE=cuda
SESSION_TIMEOUT=3600 # in seconds

# --- Local Docker Settings (used in .env) ---
# For local GPU acceleration
CUDA_VISIBLE_DEVICES=0
STORAGE_PATH=/app/storage

# --- Google Cloud Settings (used in .env.cloudrun) ---
# GCP Project and Service Configuration
PROJECT_ID=your-gcp-project-id
GCP_SERVICE_ACCOUNT=your-service-account@your-gcp-project-id.iam.gserviceaccount.com

# GCS Bucket Configuration
GCS_BUCKET_NAME=your-gcs-storage-bucket-name
MODEL_BUCKET_NAME=your-gcs-model-cache-bucket-name

# HuggingFace Authentication (Optional, if using private models)
# HF_TOKEN=your_hugging_face_token

# --- Cache paths (Consistent across environments) ---
HF_HOME=/app/cache
MODEL_CACHE_PATH=/app/cache
TRANSFORMERS_CACHE=/app/cache
HF_DATASETS_CACHE=/app/cache