Update app.py

app.py

@@ -11,18 +11,19 @@ import cpi
 from sklearn.preprocessing import MinMaxScaler
 import matplotlib.pyplot as plt
 import streamlit as st
-
+from huggingface_hub import hf_hub_download
+from datetime import date
 #cpi.update()
 
 # from huggingface_hub import notebook_login
 # notebook_login()
 
-from huggingface_hub import hf_hub_download
+
 m = hf_hub_download(repo_id="marvmk/model-test", filename="model.pkl")
 model = pickle.load(open(m, 'rb'))
 
 # downloading the last 10 days to make the prediction
-from datetime import date
+
 
 today = date.today()
 days_ago = today - timedelta(days=20)