move to home folder

main.py

@@ -24,10 +24,10 @@ import os
 def process(user_query:str):
     # dump_user_question(user_query)
     user_embedding = GetEmbedding([user_query]).user_query_emb()
-    with open(r"data\question_embedding_latest.pkl","rb") as f:
+    with open(r"question_embedding_latest.pkl","rb") as f:
         load_embedding = pickle.load(f)
 
-    with open(r"data\answer.pkl","rb") as f:
+    with open(r"answer.pkl","rb") as f:
         ans = pickle.load(f)
     similarity_scores = cosine_similarity(user_embedding, load_embedding)
     index = np.argmax(similarity_scores)