Upload 3 files

.env

@@ -0,0 +1,2 @@
+MJ_APIKEY_PUBLIC = '2846230e59f26adb7ec9ff2790be29dc'
+MJ_APIKEY_PRIVATE = 'fcbcb59ae402ef96b7b7d9bcb211fd44'

config.py

@@ -1,12 +1,16 @@
+from dotenv import load_dotenv
+import os
+
 from sklearn.metrics import r2_score
+load_dotenv('.env')
 
 class Config():
 
     def __init__(self):
         pass
 
-    MJ_APIKEY_PUBLIC = '2846230e59f26adb7ec9ff2790be29dc'
-    MJ_APIKEY_PRIVATE = 'fcbcb59ae402ef96b7b7d9bcb211fd44'
+    MJ_APIKEY_PUBLIC = os.getenv('MJ_APIKEY_PUBLIC')
+    MJ_APIKEY_PRIVATE = os.getenv('MJ_APIKEY_PRIVATE')
 
     target = 'demand'
     split_local_test = False

requirements.txt

@@ -4,3 +4,4 @@ numpy==1.24.3
 pandas==2.0.0
 scikit_learn==1.2.2
 streamlit==1.23.1
+xlsxwriter