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import streamlit as st
import pickle
import pandas as pd
from PIL import Image
import requests
from bs4 import BeautifulSoup
st.title('Game Recommendation System')
game_list=pickle.load(open('games.pkl','rb'))
similarity_list=pickle.load(open('similarities.pkl','rb'))
games=pd.DataFrame(game_list)
def game_recommender(game):
game_index=games[games['name']==game].index[0]
distances=sorted(list(enumerate(similarity_list[game_index])),reverse=True, key=lambda x:x[1])[1:10]
game_recs=[]
for i in distances:
game_recs.append(games.iloc[i[0]]['name'])
return game_recs
game_selected=st.selectbox('',(games['name']))
if st.button('Recommend'):
game_recs=game_recommender(game_selected)
for i in game_recs:
word = f'latest {i} video game cover photo'
url = 'https://www.google.com/search?q={0}&tbm=isch'.format(word)
content = requests.get(url).content
soup = BeautifulSoup(content,'lxml')
images = soup.findAll('img')
c=0
img_link=''
for image in images:
if c==1:
img_link=image.get('src')
break
c+=1
im = Image.open(requests.get(img_link, stream=True).raw)
st.header(i)
st.image(im)
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