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import pickle
import streamlit as st
import requests
import pandas as pd
# set page setting
st.set_page_config(page_title='TopMovies')
# set history var
if 'history' not in st.session_state:
st.session_state.history = []
# import preprocessed data
data = pd.read_csv("./data/tags.csv")
# import similarity (to be cached)
def importSim(filename):
sim = pickle.load(open(filename, 'rb'))
return sim
similarity = importSim('similarity.pkl')
# recommender function
def recommend_image(movie, sim):
poster = []
plot = []
# index from dataframe
index = data[data['title'] == movie].index[0]
dist = dict(enumerate(sim[index]))
dist = dict(sorted(dist.items(), reverse=True, key = lambda item: item[1]))
#index from 1 because the first is the movie itself
cnt = 0
for key in dist:
cnt = cnt+1
if cnt < 15:
title = data.iloc[key].title
try:
posterRes, plotRes = get_poster_plot(title)
poster.append(posterRes)
plot.append(plotRes)
except:
pass
else:
break
return poster[1:], plot[1:]
# get poster
def get_poster_plot(title):
r = requests.get("http://www.omdbapi.com/?i=tt3896198&apikey=37765f04&t=" + title).json()
posterElement = r["Poster"]
plotElement = r["Plot"]
return posterElement, plotElement
# update last viewed list
def update_las_viewed():
if len(st.session_state.history) > 3:
st.session_state.history.pop()
# sidebar
st.sidebar.write("""
This is a content based recommender system. Pick a movie from the list or search for it and then wait for the reccomendations.
You will get six movies, posters and plots.
""")
# title
st.write("# Movie Recommendation System")
st.write("Pick a movie from the list and enjoy some new stuffs!")
# select box
title = st.selectbox("", data["title"])
if title not in st.session_state.history:
st.session_state.history.insert(0, title)
update_las_viewed()
# recommend
with st.spinner("Getting the best movies..."):
recs, plots = recommend_image(title, similarity)
# recommendation cols
st.write("## What to watch next....")
col1, col2, col3 = st.columns(3)
with col1:
st.image(recs[0])
st.write(plots[0])
with col2:
st.image(recs[1])
st.write(plots[1])
with col3:
st.image(recs[2])
st.write(plots[2])
col4, col5, col6 = st.columns(3)
with col4:
st.image(recs[3])
st.write(plots[3])
with col5:
st.image(recs[4])
st.write(plots[4])
with col6:
st.image(recs[5])
st.write(plots[5])
col7, col8, col9 = st.columns(3)
with col7:
st.image(recs[6])
st.write(plots[6])
with col8:
st.image(recs[7])
st.write(plots[7])
with col9:
st.image(recs[8])
st.write(plots[8])
# last viewed
st.write("## Last viewed:")
r1, r2, r3 = st.columns(3)
with r1:
try:
st.image(get_poster_plot(st.session_state.history[0])[0])
except IndexError:
pass
with r2:
try:
st.image(get_poster_plot(st.session_state.history[1])[0])
except IndexError:
pass
with r3:
try:
st.image(get_poster_plot(st.session_state.history[2])[0])
except IndexError:
pass
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