[Python] Flask Can't see html file

Based on the data given here : https://www.kaggle.com/code/bhavikjikadara/loan-status-prediction-decisiontreeclassifier/input

i want to make flask based ML model prediction for loan status, here is my html code and screenshot

<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Prediction of Loan Status</title>
</head>
<body>

<form action="/prediction" method="GET">
<label for="Gender">Enter Gender:</label><br>
<input type="text" id="Gender" name="Gender"><br>
<label for="Married">Enter Married:</label><br>
<input type="text" id="Married" name="Married"><br>
<label for="Dependents">Enter Dependents:</label><br>
<input type="text" id="Dependents" name="Dependents"><br>
<label for="Education">Enter Education:</label><br>
<input type="text" id="Education" name="Education"><br>
<label for="Self_Employed">enter Self_Employed:</label><br>
<input type="text" id="Self_Employed" name="Self_Employed"><br>
<label for="ApplicantIncome">Enter ApplicantIncome:</label><br>
<input type="text" id="ApplicantIncome" name="ApplicantIncome"><br>
<label for="CoapplicantIncome">Enter CoapplicantIncome:</label><br>
<input type="text" id="CoapplicantIncome" name="CoapplicantIncome"><br>
<label for="LoanAmount">Enter LoanAmountn:</label><br>
<input type="text" id="LoanAmount" name="LoanAmount"><br>
<label for="Loan_Amount_Term">EnterLoan_Amount_Term:</label><br>
<input type="text" id="Loan_Amount_Term" name="Loan_Amount_Term"><br>
<label for="Credit_History">Enter Credit_History:</label><br>
<input type="text" id="Credit_History" name="Credit_History"><br>
<label for="Property_Area">Enter Property_Area:</label><br>
<input type="text" id="Property_Area" name="Property_Area"><br>
<input type ='submit' value="Make Prediction">

</form>
<p>score of Model is {{ score }}</p>

</body>
</html>




and corresponding code is this :

import pandas as pd
from flask import Flask,request,render_template
from sklearn.tree import DecisionTreeClassifier
from sklearn.model_selection import train_test_split
app =Flask(__name__)
def convert_gender(gender):
if gender=='Male':
return 1
else:
return 0
def convert_Martial(status):
if status =="Yes":
return 1
else:
return 0
def convert_dependencies(numbr_dependency):
if numbr_dependency=='3+':
return 3
else:
return float(numbr_dependency)
def convert_education(education):
if education =='Graduate':
return 1
else:
return 0
def self_employeed_status(status):
if status =='Yes':
return 1
else:
return 0
def get_Property_Area(area):
if area=='Rural':
return 0
elif area=='Urban':
return 1
else:
return 2
@app.route('/Prediction',methods=['POST',"GET"])
def welcome_Prediction():
return render_template("Loan_Status.html")
@app.route('/prediction',methods=['POST',"GET"])
def prediction():
data =pd.read_csv("loan_data.csv")
data.drop('Loan_ID',axis=1,inplace=True)
data.dropna(axis=0,inplace=True)
data['Loan_Status'] =data['Loan_Status'].map({'N':0,'Y':1})
# print(data.head())
# print(data['Gender'].unique())
print(data.columns)
categorical_columns =data.select_dtypes(include='object').columns
for column in categorical_columns:
if column =='Gender':
data[column] =data[column].map(convert_gender)
elif column =='Married':
data[column] = data[column].map(convert_Martial)
elif column =='Dependents':
data[column] = data[column].map(convert_dependencies)

elif column =='Education':
data[column] = data[column].map(convert_education)
elif column =='Self_Employed':
data[column] = data[column].map(self_employeed_status)
elif column =='Property_Area':
data[column] = data[column].map(get_Property_Area)
y =data['Loan_Status']
X =data.drop('Loan_Status',axis=1)
X_train,X_test,y_train,y_test =train_test_split(X,y,test_size=0.2,random_state=1)
model =DecisionTreeClassifier()
model.fit(X_train,y_train)
myscore =model.score(X_test,y_test)
print(myscore)
Gender = float(convert_gender(request.form['Gender']))
Married = float(convert_Martial(request.form['Married']))

Dependents =float(convert_dependencies(request.form['Dependents']))
Education = float(convert_dependencies(request.form['Education']))
Self_Employed = float(self_employeed_status(request.form['Self_Employed']))
ApplicantIncome = float((request.form['ApplicantIncome']))
CoapplicantIncome = float((request.form['CoapplicantIncome']))
LoanAmount = float((request.form['LoanAmount']))
Loan_Amount_Term = float((request.form['Loan_Amount_Term']))
Credit_History = float((request.form['Credit_History']))
Property_Area = float(get_Property_Area(request.form['Property_Area']))
prediction =model.predict([[Gender,Married,Dependents,
Education,Self_Employed,ApplicantIncome,CoapplicantIncome,
LoanAmount,Loan_Amount_Term,Credit_History,Credit_History,Property_Area]])

return render_template('Loan_Status.html',score =prediction)


if __name__=='__main__':
app.run(debug=True)


when i run code, i got this error :

i know that i am missing a little part, but can't guess exactly what it is, please give me hint

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