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import streamlit as st
import numpy as np
import pandas as pd
import pickle
pipe = pickle.load(open('pipe.pkl','rb'))
df = pickle.load(open('df.pkl','rb'))
st.title("Mobile Price Prediction")
brand = st.selectbox('Brand',df['Brand'].unique())
color = st.selectbox('color',df['Color'].unique())
# Touchscreen = st.selectbox('Touch Screen',[0,1])
display_size = st.number_input('Enter display Size')
os = st.selectbox('OS',df['Operating System'].unique())
processor_core = st.selectbox('Cores',df['Processor Core'].unique())
Internal_Storage = st.selectbox('Internal Storage',[32,64,128,256,512,1024])
primary_camera = st.selectbox('Primary Camera',[5,8,12,16,32,48,50,108,200])
# secondary_camera = st.selectbox('Secondary Camera',[0,1])
# wifi = st.selectbox('Wifi',[0,1])
battery = st.selectbox('Battery Capacity In MAH',[2000,2500,3000,3500,4000,4250,4500,4750,5000,6000,7000])
# smartphone = st.selectbox('Smart Phone',[0,1])
# X_res = st.number_input("X_resolution")
# y_res = st.number_input("Y_resolution")
proce = st.selectbox('Processor Brand',df['Processor'].unique())
g = st.selectbox('5G',['Yes','No'])
if st.button('Pridict'):
if g=='Yes':
gg = 1
else:
gg = 0
query = pd.DataFrame([[brand,color,1,display_size,os,processor_core,Internal_Storage,primary_camera,1,1,battery,1,2400,1080,proce,gg]],columns=['Brand','Color','Touchscreen','Display_size_inches','Operating System','Processor Core','Internal Storage','Primary Camera','Secondary Camera Available','Wi-Fi','Battery Capacity','SmartPhone','X_res','Y_res','Processor','5G'])
# st.title(query)
st.title(f"The Predicted Price RS:- {int(pipe.predict(query)[0])}")
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