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README.md

@@ -35,8 +35,10 @@ Given a target image, WeavePrompt automatically generates and refines text promp
 	uv sync
     source .venv/bin/activate
 	```
-3. Setup API keys in `.env`
-Put `WANDB_API_KEY` and `FAL_KEY`
+3. Setup `.env`
+Put the following inside `.env`:
+- API keys `WANDB_API_KEY` and `FAL_KEY`
+- Weave project name `WEAVE_PROJECT`
 
 ## Usage
 

image_evaluators.py

@@ -14,7 +14,7 @@ from dotenv import load_dotenv
 load_dotenv()
 
 # Weave autopatches OpenAI to log LLM calls to W&B
-weave.init("meta-llama")
+weave.init(os.getenv("WEAVE_PROJECT", "meta-llama"))
 
 class LlamaEvaluator(ImageEvaluator):
     """Llama-based image evaluator using W&B Inference."""

prompt_refiners.py

@@ -10,7 +10,7 @@ from weave_prompt import PromptRefiner
 load_dotenv()
 
 # Weave autopatches OpenAI to log LLM calls to W&B
-weave.init(project_name="meta-llama")
+weave.init(os.getenv("WEAVE_PROJECT", "meta-llama"))
 
 
 class LlamaPromptRefiner(PromptRefiner):