Update pipeline.py

pipeline.py

@@ -205,6 +205,7 @@ def run_pipeline(query: str) -> str:
         refusal_text = refusal_chain.run({"topic": "this topic"})
         return tailor_chain.run({"response": refusal_text}).strip()
 
+# Initialize chains and vectorstores
 # Initialize chains and vectorstores
 try:
     classification_chain = get_classification_chain()
@@ -223,10 +224,11 @@ try:
     gemini_llm = LiteLLMModel(model_id="gemini/gemini-pro", api_key=os.environ.get("GEMINI_API_KEY"))
     wellness_rag_chain = build_rag_chain(gemini_llm, wellness_vectorstore)
     brand_rag_chain = build_rag_chain(gemini_llm, brand_vectorstore)
-    
+
     print("Pipeline initialized successfully!")
 except Exception as e:
     print(f"Error initializing pipeline: {str(e)}")
 
+
 def run_with_chain(query: str) -> str:
     return run_pipeline(query)