Update app.py

app.py

@@ -8,7 +8,7 @@ import numpy as np
 import pandas as pd
 import matplotlib.pyplot as plt
 
-
+@st.experimental_memo
 def load_data(selected_columns):
     dataset = load_dataset("ttd22/house-price", streaming = True)
     df = pd.DataFrame.from_dict(dataset["train"])
@@ -17,6 +17,7 @@ def load_data(selected_columns):
     X, y = df.drop("SalePrice", axis=1), df["SalePrice"]
     return X,y
 
+@st.experimental_memo
 def load_model(X, y):
     X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
     params = {'n_estimators': 378, 'num_leaves': 31, 'max_depth': 35, 'learning_rate': 0.01713200441531346, 'colsample_bytree': 0.5167187468778591, 'subsample': 0.7380799250244564, 'lambda_l1': 4.712815578969268, 'lambda_l2': 1.7427073600749474, 'min_child_weight': 9.962946763677316}
@@ -32,6 +33,7 @@ selected_columns = ['OverallQual', 'GrLivArea', 'TotalBsmtSF', 'YearBuilt', 'Bsm
 X,y = load_data(selected_columns)
 model = load_model(X, y)
 
+@st.experimental_memo
 def buil_UI(X):
     # min_values = X.min()
     # max_values = X.max()