Upload 3 files

app.py

@@ -0,0 +1,54 @@
+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])}")
+
+

df.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:32d42c96912ad39e182b162562b6f65e5dfc8c90736e6ab8741b7aecfefb36e2
+size 85234

pipe.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fedf5c8803a4c92fc9d4d56f1d331bfceb5d247352adb50ce494055624fd99b4
+size 134655