shvuuuu commited on
Commit
98eef61
1 Parent(s): a06a8d7

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +4 -4
app.py CHANGED
@@ -16,7 +16,7 @@ def example1():
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  def example2():
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- model = pickle.load(open('/Users/shvuuuu/Downloads/Creditfile.pkl', 'rb'))
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  input_model = [[41,2,2,0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0]]
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  pred=model.predict(input_model)
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  churn = "False"
@@ -29,7 +29,7 @@ def example2():
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  def example3():
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- model = pickle.load(open('/Users/shvuuuu/Downloads/Creditfile.pkl', 'rb'))
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  input_model = [[10,1.1,2,0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0]]
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  pred=model.predict(input_model)
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  churn = "False"
@@ -41,7 +41,7 @@ def example3():
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  def example4():
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- model = pickle.load(open('/Users/shvuuuu/Downloads/Creditfile.pkl', 'rb'))
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  input_model = [[7,0.8,5,0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0,0, 0, 1]]
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  pred=model.predict(input_model)
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  churn = "False"
@@ -95,7 +95,7 @@ def greet(Total_Transaction, Total_Ct_Chng_Q4_Q1, Total_Relationship_Count, Educ
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  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]]
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- model = pickle.load(open('/Users/shvuuuu/Downloads/Creditfile.pkl', 'rb'))
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  pred=model.predict(input_model)
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  churn = "False"
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  if pred[0] == 1:
 
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  def example2():
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+ model = pickle.load(open('model.pkl', 'rb'))
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  input_model = [[41,2,2,0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0]]
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  pred=model.predict(input_model)
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  churn = "False"
 
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  def example3():
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+ model = pickle.load(open('model.pkl', 'rb'))
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  input_model = [[10,1.1,2,0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0]]
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  pred=model.predict(input_model)
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  churn = "False"
 
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  def example4():
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+ model = pickle.load(open('model.pkl', 'rb'))
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  input_model = [[7,0.8,5,0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0,0, 0, 1]]
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  pred=model.predict(input_model)
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  churn = "False"
 
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  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]]
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+ model = pickle.load(open('model.pkl', 'rb'))
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  pred=model.predict(input_model)
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  churn = "False"
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  if pred[0] == 1: