Delete App.py

App.py

@@ -1,57 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-Created on Mon Feb  6 09:56:29 2023
-
-@author: HP
-"""
-
-
-import numpy as np
-import pickle
-import streamlit as st
-
-# loading the saved model
-#loaded_model = pickle.load(open('medical_insurance_cost_predictor.sav', 'rb'))
-loaded_model = pickle.load(open('medical_insurance_cost_predictor.h5', 'rb'))
-
-#creating a function for Prediction
-def medical_insurance_cost_prediction(input_data):
-    # changing the input_data to numpy array
-    input_data_as_numpy_array = np.asarray(input_data)
-
-    # reshape the array as we are predicting for one instance
-    input_data_reshaped = input_data_as_numpy_array.reshape(1,-1)
-
-    prediction = loaded_model.predict(input_data_reshaped)
-    print(prediction)
-
-    return prediction
-
-def main():
-    
-    #giving a title
-    #st.title('Medical Insurance Prediction Web App')
-    st.title('It is working!!!')
-    
-    #getting input from the user
-    
-    age = st.text_input('Age')
-    sex = st.text_input('Sex: 0 -> Female, 1 -> Male')
-    bmi = st.text_input('Body Mass Index')
-    children = st.text_input('Number of Children')
-    smoker = st.text_input('Smoker: 0 -> No, 1 -> Yes')
-    region = st.text_input('Region of Living: 0 -> NorthEast, 1-> NorthWest, 2-> SouthEast, 3-> SouthWest')
-    
-    #code for prediction
-    diagnosis = ''
-    
-    # getting the input data from the user
-    #if st.button('Predicted Medical Insurance Cost: '):
-    if st.button('Hit this button!: '):
-        diagnosis = medical_insurance_cost_prediction([age,sex,bmi,children,smoker,region])
-        
-    st.success(diagnosis)
-    
-
-if __name__ == '__main__':
-    main()