fixed error in app.py

app.py

@@ -1,7 +1,9 @@
 from tensorflow.keras.models import load_model
+from sklearn.preprocessing import MinMaxScaler
 import pandas as pd
 
 saved_model = load_model('churn_model2.h5')
+scaler = MinMaxScaler()
 
 def churn_prediction(CreditScore,Gender,Age,Tenure,Balance,NumOfProducts,HasCrCard,IsActiveMember,EstimatedSalary,Location):
     Geography_France,Geography_Germany,Geography_Spain=0,0,0
@@ -21,7 +23,7 @@ def churn_prediction(CreditScore,Gender,Age,Tenure,Balance,NumOfProducts,HasCrCa
         
     })
     cols_to_scale = ["Credit score",'Age','Tenure','Balance','Number of products','Estimated Salary']
-    df[cols_to_scale] = scaler.transform(df[cols_to_scale])
+    df[cols_to_scale] = scaler.fit_transform(df[cols_to_scale])
     pred=saved_model.predict(df)
     pred = pred[0][0]
     churn_prob=str(round(pred,2))