add: prediction

.gitignore

@@ -0,0 +1 @@
+__pycache__

app.py

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+from flask import Flask, request
+import pickle
+
+app = Flask(__name__)
+
+model = pickle.load(open("model/classifier.pkl", "rb"))
+
+@app.route("/prediction", methods=["POST"])
+def predict():
+    loan_req = request.get_json()
+    print(loan_req)
+    if loan_req['Gender'] == "Male":
+        Gender = 0
+    else:
+        Gender = 1
+    if loan_req['Married'] == "Unmarried":
+        Married = 0
+    else:
+        Married = 1
+    if loan_req['Credit_History'] == "Unclear Debts":
+        Credit_History = 0
+    else:
+        Credit_History = 1
+
+    ApplicantIncome = loan_req['ApplicantIncome']
+    LoanAmount = loan_req['LoanAmount']
+
+    result = model.predict([[Gender, Married, ApplicantIncome, LoanAmount, Credit_History]])
+
+    if result == 0:
+        pred = "Rejected"
+    else:
+        pred = "Approved"
+
+    return {"loan_approval_status": pred}