Update app.py

app.py

@@ -3,7 +3,11 @@ import pandas as pd
 from sentence_transformers import SentenceTransformer, util
 
 # Load FAQ
-faq_df = pd.read_csv("lic_faq.csv")
+try:
+    faq_df = pd.read_csv("lic_faq.csv", encoding="utf-8")
+except UnicodeDecodeError:
+    faq_df = pd.read_csv("lic_faq.csv", encoding="ISO-8859-1")
+
 model = SentenceTransformer('all-MiniLM-L6-v2')
 faq_embeddings = model.encode(faq_df['question'].tolist(), convert_to_tensor=True)