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)