Update app.py

app.py

@@ -4,10 +4,10 @@ import pandas as pd
 import numpy as np
 import pickle
 import datetime
-import os
-import sys
+# import os
+# import sys
 # from utils import payday, date_extracts
-sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
+# sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
 
 from utils import payday, date_extracts
 
@@ -23,11 +23,11 @@ st.set_page_config(
     }
 )
 
-# Define directory paths
-DIRPATH = os.path.dirname(os.path.realpath(__file__))
-ml_components_1 = os.path.join(DIRPATH, "..", "src", "assets", "ml_components", "ml_components_1.pkl")
-ml_components_2 = os.path.join(DIRPATH, "..", "src", "assets", "ml_components", "ml_components_2.pkl")
-image_path = os.path.join(DIRPATH, "..", "src", "assets", "images", "sales.png")
+# # Define directory paths
+# DIRPATH = os.path.dirname(os.path.realpath(__file__))
+# ml_components_1 = os.path.join(DIRPATH, "..", "src", "assets", "ml_components", "ml_components_1.pkl")
+# ml_components_2 = os.path.join(DIRPATH, "..", "src", "assets", "ml_components", "ml_components_2.pkl")
+# image_path = os.path.join(DIRPATH, "..", "src", "assets", "images", "sales.png")
 
 
 # create a functions to load pickle file.
@@ -38,8 +38,8 @@ def load_pickle(filename):
 
 
 #load all pickle files
-ml_compos_1 = load_pickle(ml_components_1)
-ml_compos_2 = load_pickle(ml_components_2)
+ml_compos_1 = load_pickle('ml_components_1.pkl')
+ml_compos_2 = load_pickle('ml_components_2.pkl')
 
 # components in ml_compos_2  
 categorical_pipeline = ml_compos_2['categorical_pipeline']
@@ -54,7 +54,7 @@ cat_cols = ml_compos_1['cat_cols']
 st.title('✨SALES FORECASTING APP✨')
 
 # adding image
-image=Image.open(image_path)
+image=Image.open('sales.png')
 st.image(image, width=600)