| # ============================================================================ | |
| # ENVIRONMENT CONFIGURATION - EXAMPLE | |
| # ============================================================================ | |
| # Copy this file to .env and fill in your actual values | |
| # Command: cp .env.example .env | |
| # ============================================================================ | |
| # ---------------------------------------------------------------------------- | |
| # SUPABASE DATABASE CONFIGURATION | |
| # ---------------------------------------------------------------------------- | |
| # Get these from your Supabase project settings: | |
| # https://app.supabase.com/project/_/settings/api | |
| SUPABASE_URL=https://your-project-id.supabase.co | |
| SUPABASE_ANON_KEY=your_supabase_anon_key_here | |
| # Direct Database Connection (for scripts/fast_import.py) | |
| # Format: postgresql://postgres.[PROJECT-REF]:[PASSWORD]@aws-0-[REGION].pooler.supabase.com:6543/postgres | |
| SUPABASE_DB_URI=postgresql://postgres.your-project-ref:your-password@aws-0-region.pooler.supabase.com:6543/postgres | |
| # ---------------------------------------------------------------------------- | |
| # MEGALLM API CONFIGURATION | |
| # ---------------------------------------------------------------------------- | |
| # Get API key from: https://ai.megallm.io | |
| MEGLLM_API_KEY=your_megallm_api_key_here | |
| # ---------------------------------------------------------------------------- | |
| # COMPUTER VISION API (Plant Classification) | |
| # ---------------------------------------------------------------------------- | |
| # URL to your deployed plant classification model API | |
| # Default: https://thuonguyenvan-plantsclassify.hf.space | |
| CV_API_URL=https://your-cv-api-url-here | |
| # ---------------------------------------------------------------------------- | |
| # EMBEDDING MODEL (Optional - has default value) | |
| # ---------------------------------------------------------------------------- | |
| # Hugging Face model for Vietnamese text embeddings | |
| # Default: AITeamVN/Vietnamese_Embedding | |
| # EMBEDDING_MODEL_NAME=AITeamVN/Vietnamese_Embedding | |
| # EMBEDDING_DIMENSION=1024 | |