Update utils.py

utils.py

@@ -15,7 +15,7 @@ import utils
 
 def predict_medicine_demand(location: str, year: int, month: int):
     results = []
-    products=['Medicine_4', 'Medicine_10', 'Medicine_5', 'Medicine_7','Medicine_3', 'Medicine_2', 'Medicine_8', 'Medicine_1','Medicine_6', 'Medicine_9']
+    products=('Medicine_4', 'Medicine_10', 'Medicine_5', 'Medicine_7','Medicine_3', 'Medicine_2', 'Medicine_8', 'Medicine_1','Medicine_6', 'Medicine_9')
     for product in products:
         try:
             monthly_data=pd.read_csv('monthly_data.csv')
@@ -25,8 +25,7 @@ def predict_medicine_demand(location: str, year: int, month: int):
             ts_df.set_index('date', inplace=True)
             ts_df = ts_df.sort_index()
             ts = ts_df['quantity']
-            if len(ts) < 6:
-                continue
+            
 
             # Load ARIMA model
             arima_model = joblib.load(f"models/arima_{product}_{location}.pkl")