Update app.py

app.py

@@ -19,6 +19,10 @@ from pymongo import MongoClient
 from dotenv import load_dotenv, find_dotenv
 _ = load_dotenv(find_dotenv())
 
+WANDB_API_KEY = os.environ["WANDB_API_KEY"]
+os.environ["LANGCHAIN_WANDB_TRACING"] = "true"
+os.environ["WANDB_PROJECT"] = "openai-llm-rag"
+
 MONGODB_URI = os.environ["MONGODB_ATLAS_CLUSTER_URI"]
 client = MongoClient(MONGODB_URI)
 MONGODB_DB_NAME = "langchain_db"
@@ -118,9 +122,6 @@ def invoke(openai_api_key, rag_option, prompt):
         raise gr.Error("Retrieval Augmented Generation is required.")
     if (prompt == ""):
         raise gr.Error("Prompt is required.")
-    WANDB_API_KEY = os.environ["WANDB_API_KEY"]
-    os.environ["LANGCHAIN_WANDB_TRACING"] = "true"
-    os.environ["WANDB_PROJECT"] = "openai-llm-rag"
     completion = ""
     try:
         llm = ChatOpenAI(model_name = config["model"], 
@@ -143,8 +144,8 @@ def invoke(openai_api_key, rag_option, prompt):
     except Exception as e:
         completion = e
         raise gr.Error(e)
-    finally:
-        wandb.finish()
+    #finally:
+    #    wandb.finish()
     return completion
 
 description = """<strong>Overview:</strong> Context-aware multimodal reasoning application using a <strong>large language model (LLM)</strong> with