application.py

from flask import Flask,request,render_template
import numpy as np
import pandas as pd

from src.pipeline.predict_pipeline import CustomData,PredictPipeline

application=Flask(__name__)

app=application



## Route for a home page
# Remove Random addition

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

@app.route('/predictdata',methods=['GET','POST'])
def predict_datapoint():
    if request.method=='GET':
        return render_template('home.html')
    else:
        data=CustomData(
            Pregnancies=int(request.form.get('Pregnancies')),
            Glucose=int(request.form.get('Glucose')),
            BloodPressure=int(request.form.get('BloodPressure')),
            SkinThickness=int(request.form.get('SkinThickness')),
            Insulin=int(request.form.get('Insulin')),
            BMI=float(request.form.get('BMI')),
            DiabetesPedigreeFunction=float(request.form.get('DiabetesPedigreeFunction')),
            Age=int(request.form.get('Age'))

        )
        pred_df=data.get_data_as_data_frame()
        print(pred_df)
        print("Before Prediction")

        predict_pipeline=PredictPipeline()
        print("Mid Prediction")
        pred=predict_pipeline.predict(pred_df)
        print('This is the prediction: ', pred)
        if pred == 1:
            results = 'Diabetic'
        else:
            results = 'Non-Diabetic'
        print("after Prediction")
        return render_template('home.html',results=results)
    

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