Update app.py

app.py

@@ -3,7 +3,7 @@ import pandas as pd
 import pickle
 def example1():
     
-    model=joblib.load("/Users/shvuuuu/Downloads/Creditfile.pkl")
+    model=pickle.load("/Users/shvuuuu/Downloads/Creditfile.pkl")
     input_model = [[45,1.3,2,0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0,0, 0, 1]]
     pred=model.predict(input_model)
     churn = "False"
@@ -15,7 +15,7 @@ def example1():
 
 def example2():
     
-    model=joblib.load("/Users/shvuuuu/Downloads/Creditfile.pkl")
+    model=pickle.load("/Users/shvuuuu/Downloads/Creditfile.pkl")
     input_model = [[7,0.8,5,0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0,0, 0, 1]]
     pred=model.predict(input_model)
     churn = "False"
@@ -40,7 +40,7 @@ def example3():
 
 def example4():
     
-    model=joblib.load("/Users/shvuuuu/Downloads/Creditfile.pkl")
+    model=pickle.load("/Users/shvuuuu/Downloads/Creditfile.pkl")
     input_model = [[10,1.1,2,0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0]]
     pred=model.predict(input_model)
     churn = "False"
@@ -94,7 +94,7 @@ def greet(Total_Transaction, Total_Ct_Chng_Q4_Q1, Total_Relationship_Count, Educ
         
     
     input_model = [[Total_Transaction,Total_Ct_Chng_Q4_Q1,Total_Relationship_Count,educ, edud, edug, eduh, edup, eduu, ai120, ai40, ai60, ai80, ai0, msd, msm, mss,ctb, ctg, cts]]
-    model=joblib.load("/Users/shvuuuu/Downloads/Creditfile.pkl")
+    model=pickle.load("/Users/shvuuuu/Downloads/Creditfile.pkl")
     pred=model.predict(input_model)
     churn = "False"
     if pred[0] == 1: