Update data.py

data.py

@@ -15,7 +15,7 @@ import time
 # accessing and defining the llm served in the cluster
 from langchain_community.chat_models import ChatOpenAI
 
-NGROK_URL = "https://89a68ddd25a.ngrok-free.app" 
+NGROK_URL = "https://c89a68ddd25a.ngrok-free.app" 
 VLLM_MODEL_NAME = "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4"
 
 llm1 = ChatOpenAI(
@@ -179,7 +179,7 @@ def debug_print(category, message):
     print(f"[{timestamp}] [{category}] {message}", flush=True, file=sys.stdout)
 
 
-# --- Data Loading ---
+# Data Loading 
 eligibility_df = pd.read_csv("cards_eligibility_updated.csv")
 df = pd.read_csv("credit_card_data_updated.csv")
 # print(df.head())
@@ -190,7 +190,7 @@ all_card_names = df_all_cards["name"].tolist()
 all_card_lookup = dict(zip(df_all_cards["name"], df_all_cards["description"]))
 
 
-# --- Eligibility Lookup (now global) ---
+# Eligibility Lookup 
 eligibility_lookup = {}
 for _, row in eligibility_df.iterrows():
     name = row["Name"].strip()