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import numpy as np |
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from flask import Flask, request, render_template |
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import pickle |
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app = Flask(__name__) |
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model = pickle.load(open('model.pkl', 'rb')) |
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@app.route('/') |
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def home(): |
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return render_template('index.html') |
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@app.route('/predict', methods=['POST', 'GET']) |
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def predict(): |
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int_features = [float(x) for x in request.form.values()] |
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final_features = [np.array(int_features)] |
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prediction = model.predict(final_features) |
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if prediction == 0: |
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return 'Low chances of transaction being fraud' |
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else: |
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return 'High chances of transaction being fraud' |
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if __name__ == "__main__": |
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app.run(debug=True) |
