updates

recommend_app.py

@@ -25,7 +25,7 @@ app = Flask(__name__, static_folder='static')
 # Load data and model at startup
 try:
     df = load_and_preprocess_data("netflix_titles.csv")
-    _, cosine_sim_matrix, title_to_index = build_or_load_model(df, "cosine_sim_cache.pkl")
+    _, cosine_sim_matrix, title_to_index = build_or_load_model(df, "/tmp/cosine_sim_cache.pkl")
     logger.info("Application started successfully with data and model loaded.")
 except Exception as e:
     logger.error(f"Startup failed: {str(e)}")

recommendation_engine.py

@@ -50,7 +50,7 @@ def load_and_preprocess_data(csv_file="netflix_titles.csv"):
         logger.error(f"Error loading data from {csv_file}: {str(e)}")
         raise Exception(f"Error loading data: {str(e)}")
 
-def build_or_load_model(df, cache_file="cosine_sim_cache.pkl"):
+def build_or_load_model(df, cache_file="/tmp/cosine_sim_cache.pkl"):
     """Builds or loads TF-IDF matrix and cosine similarity, with caching."""
     if os.path.exists(cache_file):
         try: