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import pickle
import streamlit as st
import pandas as pd
st.set_page_config(
page_title="Steam Game's Recommender",
page_icon="🐼",
layout="wide",
initial_sidebar_state="expanded",
)
with st.sidebar:
st.title("Contact Me")
st.divider()
st.write("Instagram: https://www.instagram.com/ashishprasad__/")
st.write("LinkedIn: https://www.linkedin.com/in/ashudevcodes/")
st.write("Email: ashishprasd949@gamil.com")
def recommend(game):
index = new_df[new_df['Name'] == game].index[0]
distances = sorted(list(enumerate(similarity[index])),reverse=True,key = lambda x: x[1])
game_lists=[]
game_image_list=[]
for i in distances[1:7]:
game_lists.append(new_df.iloc[i[0]].Name)
game_image_list.append(game_image.iloc[i[0]].Headerimage)
return game_lists,game_image_list
# uplode data
new_df=pickle.load(open("game_data.pkl",'rb'))
similarity=pickle.load(open("similarity.pkl",'rb'))
game_image=pd.read_csv("image_data.csv")
game_name = new_df['Name'].values
st.title("Steam Game's Recommendation System by Ashish 🐼")
st.warning('There was only New Game Data Since 2021 to 2023')
st.divider()
option = st.selectbox(
'Select or type The Game Name: ⬇️',
game_name)
st.write('You selected:', option)
if st.button('🔍 Find!'):
st.toast("🙃 Enjoy!")
st.balloons()
st.header("Here are The Top 6 Game You also like 🎮:")
rec,img=recommend(option)
col1, col2, col3 = st.columns(3)
with col1:
st.image(img[0])
st.subheader(rec[0])
with col2:
st.image(img[1])
st.subheader(rec[1])
with col3:
st.image(img[2])
st.subheader(rec[2])
col4,col5,col6 =st.columns(3)
with col4:
st.image(img[3])
st.subheader(rec[3])
with col5:
st.image(img[4])
st.subheader(rec[4])
with col6:
st.image(img[5])
st.subheader(rec[5])
st.success("🐰 Match Found!")
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