Update app.py

app.py

@@ -2,23 +2,11 @@ import streamlit as st
 import numpy as np
 import pandas as pd
 import pickle
-import sys
-#import sklearn
-#import sklearn.neighbors._base
-#sys.modules['sklearn.neighbors.base'] = sklearn.neighbors._base
+import sklearn
 import xgboost
-#from missingpy import MissForest
-import warnings
-warnings.simplefilter(action="ignore", category=FutureWarning)
-from warnings import filterwarnings
-
-filterwarnings("ignore")
-seed=42
 
 data = pd.read_csv("annotations_dataset.csv")
 data = data.set_index("Gene")
-#imputer = MissForest(random_state=seed)
-#data = imputer.fit_transform(data)
 
 model = pickle.load(open('fitted_model.sav', 'rb'))