app.py

from flask import Flask,request,render_template
from src.pipeline.predict_pipeline import CustomData,PredictPipeline

app = Flask(__name__)

@app.route('/')
def index():
    return render_template('index.html')


@app.route('/predict',methods=['POST','GET'])
def predict():
    if request.method == 'GET':
        return render_template('home.html')
    else:
        data=CustomData(
            gender=request.form.get('gender'),
            race_ethnicity=request.form.get('ethnicity'),
            parental_level_of_education=request.form.get('parental_level_of_education'),
            lunch=request.form.get('lunch'),
            test_preparation_course=request.form.get('test_preparation_course'),
            reading_score=float(request.form.get('writing_score')),
            writing_score=float(request.form.get('reading_score'))

        )
        data=data.get_dataframe()
        pipeline=PredictPipeline()
        result=pipeline.predict(data)
        return render_template('home.html',result=result[0])
    

if __name__ == '__main__':
    app.run(host ="0.0.0.0", port=5000)