import streamlit as st
import requests
import streamlit.components.v1 as components
import pandas
footer="""
"""
def recommend(movie):
index = movies[movies['title'] == movie].index[0]
distances = sorted(list(enumerate(similarity[index])),reverse=True,key = lambda x: x[1])
recommended_movie_names = []
recommended_movie_posters = []
for i in distances[1:8]:
movie_id = movies.iloc[i[0]].movie_id
recommended_movie_posters.append(fetch_poster(movie_id))
recommended_movie_names.append(movies.iloc[i[0]].title)
return recommended_movie_names,recommended_movie_posters
H = ['Action', 'Adventure', 'Fantasy', 'ScienceFiction', 'Crime', 'Drama', 'Thriller', 'Animation', 'Family', 'Western', 'Comedy', 'Romance', 'Horror',
'Mystery', 'History', 'War', 'Music', 'Documentary', 'Foreign', 'TVMovie']
def suggest(gen):
gen = gen.lower()
url = "https://www.imdb.com/search/title/?genres={}&sort=user_rating,desc".format(gen)
return url
def fetch_poster(movie_id):
url = "https://api.themoviedb.org/3/movie/{}?api_key=8265bd1679663a7ea12ac168da84d2e8&language=en-US".format(movie_id)
data = requests.get(url)
data = data.json()
poster_path = data['poster_path']
full_path = "https://image.tmdb.org/t/p/w500/" + poster_path
return full_path
st.markdown("""FILMISH
""", unsafe_allow_html=True)
st.markdown("""Your personal movie recommender.
""", unsafe_allow_html=True)
st.markdown("""powered by AI
""", unsafe_allow_html=True)
movies = pandas.read_pickle(open('movie_list.pkl', 'rb'))
similarity = pandas.read_pickle(open('similarity.pkl', 'rb'))
movie_list = movies['title'].values
st.markdown(""" Enter or select a Movie""", unsafe_allow_html=True)
selected_movie = st.selectbox("", movie_list)
if st.button('Show Recommendation'):
recommended_movie_names,recommended_movie_posters = recommend(selected_movie)
col1, col2, col3, col4, col5 , col6, col7 = st.columns(7)
with col1:
st.text(recommended_movie_names[0])
st.image(recommended_movie_posters[0])
with col2:
st.text(recommended_movie_names[1])
st.image(recommended_movie_posters[1])
with col3:
st.text(recommended_movie_names[2])
st.image(recommended_movie_posters[2])
with col4:
st.text(recommended_movie_names[3])
st.image(recommended_movie_posters[3])
with col5:
st.text(recommended_movie_names[4])
st.image(recommended_movie_posters[4])
with col6:
st.text(recommended_movie_names[5])
st.image(recommended_movie_posters[5])
with col7:
st.text(recommended_movie_names[6])
st.image(recommended_movie_posters[6])
components.html("
")
components.html(
"""
Get Movie recommendation of your Favorite Genre
"""
)
#components.html("
")
st.markdown(""" Enter or select a Genre""", unsafe_allow_html=True)
selected_genre = st.selectbox("", H)
if st.button("show movies"):
link = "[List of movies]("+ suggest(selected_genre)+")"
st.markdown(link, unsafe_allow_html=True)
st.markdown(footer,unsafe_allow_html=True)