graphics-llm / .env.example
Tom
Add Datawrapper chart generation mode with clean iframe display
2a10e9c
# Graphics Guide / Design Assistant - Environment Variables
# =============================================================================
# REQUIRED: Supabase Client Connection
# =============================================================================
# Get these from: Supabase Dashboard > Project Settings > API
SUPABASE_URL=https://[PROJECT-REF].supabase.co
SUPABASE_KEY=[YOUR-ANON-KEY]
# =============================================================================
# REQUIRED: Hugging Face API Token
# =============================================================================
# Get your token from: https://huggingface.co/settings/tokens
# This is used for Inference Providers API access (LLM generation)
HF_TOKEN=hf_your_token_here
# =============================================================================
# REQUIRED: Jina AI API Token
# =============================================================================
# Get your token from: https://jina.ai/
# This is used for Jina-CLIP-v2 embeddings
JINA_API_KEY=jina_your_token_here
# =============================================================================
# REQUIRED: Datawrapper API Token
# =============================================================================
# Get your token from: https://app.datawrapper.de/account/api-tokens
# This is used for creating and publishing charts via Datawrapper API
DATAWRAPPER_ACCESS_TOKEN=your_datawrapper_token_here
# =============================================================================
# OPTIONAL: LLM Configuration
# =============================================================================
# Model to use for generation (default: meta-llama/Llama-3.1-8B-Instruct)
# Other options:
# - meta-llama/Meta-Llama-3-8B-Instruct
# - Qwen/Qwen2.5-72B-Instruct
# - mistralai/Mistral-7B-Instruct-v0.3
LLM_MODEL=meta-llama/Llama-3.1-8B-Instruct
# Temperature for LLM generation (0.0 to 1.0, default: 0.7)
# Lower = more focused/deterministic, Higher = more creative/diverse
LLM_TEMPERATURE=0.7
# Maximum tokens to generate (default: 2000)
LLM_MAX_TOKENS=2000
# =============================================================================
# OPTIONAL: Vector Store Configuration
# =============================================================================
# Number of document chunks to retrieve for context (default: 5)
RETRIEVAL_K=5
# Embedding model for vector search (default: jina-clip-v2)
# Note: Database has been re-embedded with Jina-CLIP-v2 (1024 dimensions)
EMBEDDING_MODEL=jina-clip-v2
# =============================================================================
# OPTIONAL: Gradio Configuration
# =============================================================================
# Port for Gradio app (default: 7860)
GRADIO_PORT=7860
# Server name (default: 0.0.0.0 for all interfaces)
GRADIO_SERVER_NAME=0.0.0.0
# Enable Gradio sharing link (default: False)
GRADIO_SHARE=False