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