Delete app.py

app.py

@@ -1,54 +0,0 @@
-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:- {pipe.predict(query)[0]}")
-
-