From 76921414e00d5501b874da9488b2e54dc40a8e50 Mon Sep 17 00:00:00 2001
From: utksin13 <114904343+utksin13@users.noreply.github.com>
Date: Tue, 18 Oct 2022 22:12:41 +0530
Subject: [PATCH] Add files via upload

---
 Python/LaptopPriceApp.py | 40 ++++++++++++++++++++++++++++++++++++++++
 1 file changed, 40 insertions(+)
 create mode 100644 Python/LaptopPriceApp.py

diff --git a/Python/LaptopPriceApp.py b/Python/LaptopPriceApp.py
new file mode 100644
index 0000000..1136ac9
--- /dev/null
+++ b/Python/LaptopPriceApp.py
@@ -0,0 +1,40 @@
+# -*- coding: utf-8 -*-
+"""
+Created on Fri Sep 10 18:20:12 2021
+
+@author: ankit
+"""
+
+import streamlit as st
+import pickle
+import numpy as np
+model=pickle.load(open("model.pkl","rb"))
+
+def predict_price(Manufacturer,IntelCore,Ram,HDD,SSD):
+    prediction=model.predict([[Manufacturer,IntelCore,Ram,HDD,SSD]])
+    print(prediction.round())
+    return prediction
+
+def main():
+    st.title("Streamlit Tutorial")
+    html_temp = """
+    <div style="background-color:#025246 ;padding:10px">
+    <h2 style="color:white;text-align:center;">Laptop Price Prediction ML App </h2>
+    </div>
+    """
+    st.markdown(html_temp, unsafe_allow_html=True)
+
+    Manufacturer = st.text_input("Company { HP : 0 , Lenovo : 1 , ASUS : 2 , Dell : 3 } ","")
+    IntelCore = st.text_input("IntelCore","")
+    Ram = st.text_input("Ram(gb)","")
+    HDD = st.text_input("HDD(gb)","")
+    SSD = st.text_input("SSD(gb)","")
+    
+    if st.button("Predict"):
+        output=predict_price(Manufacturer,IntelCore,Ram,HDD,SSD)
+        st.success('Laptop Price is {}'.format(output.round()))
+
+        
+
+if __name__=='__main__':
+    main()
\ No newline at end of file