Update app.py

app.py

@@ -6,7 +6,7 @@ import sys
 #import sklearn.neighbors._base
 #sys.modules['sklearn.neighbors.base'] = sklearn.neighbors._base
 #import xgboost
-from missingpy import MissForest
+#from missingpy import MissForest
 import warnings
 warnings.simplefilter(action="ignore", category=FutureWarning)
 from warnings import filterwarnings
@@ -14,10 +14,10 @@ from warnings import filterwarnings
 filterwarnings("ignore")
 seed=42
 
-annotations = pd.read_csv("annotations_dataset.csv")
-annotations = annotations.set_index("Gene")
-imputer = MissForest(random_state=seed)
-data = imputer.fit_transform(annotations)
+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'))