INNER CODE UNIT · Python

prediction

bansalkanav/Ultimate-Data-Science-Toolkit---From-Python-Basics-to-GenerativeAI · Module 5 - MLOPs/2. Model Serving/2. Flask App/app.py:13

def prediction():
    sl = float(request.form.get("slcm"))
    sw = float(request.form.get("swcm"))
    pl = float(request.form.get("plcm"))
    pw = float(request.form.get("pwcm"))

    data_point = np.array([[sl, sw, pl, pw]])

    model = joblib.load("model/knn.pkl")

    prediction = model.predict(data_point)

    return render_template("output.html", prediction=prediction)

######################

if __name__ == "__main__":
    app.run(debug=True, host="0.0.0.0")

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