.env.example

# Hugging Face Configuration
HUGGINGFACE_TOKEN=hf_your_token_here

# Redis Cloud Configuration
REDIS_HOST=redis-18248.c232.us-east-1-2.ec2.redns.redis-cloud.com
REDIS_PORT=your_redis_port_here
REDIS_PASSWORD=your_redis_password_here
REDIS_USERNAME=default
DATABASE_NAME=database-MHHVR2P6

# Or use Redis URL format (alternative)
# REDIS_URL=redis://default:yPa7FqTXPna9JWNzXc4WSNRzkEmCOWpQ@redis-18248.c232.us-east-1-2.ec2.redns.redis-cloud.com:18248

# Neo4j Configuration (optional)
NEO4J_URI=neo4j+s://your-instance.databases.neo4j.io
NEO4J_USERNAME=neo4j
NEO4J_PASSWORD=your_password
NEO4J_DATABASE=neo4j

# Neo4j Aura Instance Details (optional)
AURA_INSTANCEID=064bf545
AURA_INSTANCENAME=Free instance

# Model Configuration
MODEL_OUTPUT_DIR=results/models
GRAPH_EXPORT_DIR=results/knowledge_graph

# PDF Processing
PDF_INPUT_DIR=data/raw
PDF_OUTPUT_DIR=data/processed

# Logging Level
LOG_LEVEL=INFO

# Github Token
GITHUB_TOKEN=your_github_token_here

# Wandb Configuration
WANDB_PROJECT=Mzee Chakula
WANDB_ENTITY=devkiran256-makerere
WANDB_API_KEY=your_wandb_api_key_here

# API Configuration
API_HOST=0.0.0.0
API_PORT=8000

# Model Configuration
BASE_MODEL=TinyLlama/TinyLlama-1.1B-Chat-v1.0

# Fine-tuned model path (local .pth file)
# Set USE_FINETUNED_MODEL=true to use your fine-tuned model
MODEL_PATH=results/models/finetuned_nutrition_model.pth
USE_FINETUNED_MODEL=true

# Hugging Face Model IDs
# LLM for text generation (only used if USE_FINETUNED_MODEL=false)
HF_LLM_MODEL_ID=TinyLlama/TinyLlama-1.1B-Chat-v1.0

# Repository for PKL models (scikit-learn models)
HF_PKL_MODELS_REPO=Shakiran/mzee-chakula-models

# Dataset repository
HF_DATASET_ID=Shakiran/UgandanNutritionMealPlanning

# Cache Configuration
CACHE_TTL=3600  # 1 hour in seconds

VITE_API_URL=https://your-backend.onrender.com