Update utils.py

utils.py

@@ -13,13 +13,13 @@ from statsmodels.tsa.arima.model import ARIMA
 import tensorflow as tf
 import utils
 
-monthly_data=pd.read_csv('monthly_data.csv')
-def predict_medicine_demand(monthly_data,location: str, year: int, month: int):
+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')
     for product in products:
         try:
-            
+            monthly_data=pd.read_csv('monthly_data.csv')
+
             # Get last 3 values from the data
             ts_df = monthly_data[(monthly_data['product'] == product) & (monthly_data['location'] == location)].copy()
             ts_df.set_index('date', inplace=True)