| import pickle
|
| import streamlit as st
|
| import requests
|
|
|
| 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
|
|
|
| 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[1:6]:
|
|
|
| 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
|
|
|
|
|
| st.header('Movie Recommender System')
|
| movies = pickle.load(open('model/movies_list.pkl','rb'))
|
| similarity = pickle.load(open('model/similarity.pkl','rb'))
|
|
|
| movie_list = movies['title'].values
|
| selected_movie = st.selectbox(
|
| "Type or select a movie from the dropdown",
|
| movie_list
|
| )
|
|
|
| if st.button('Show Recommendation'):
|
| recommended_movie_names,recommended_movie_posters = recommend(selected_movie)
|
| col1, col2, col3, col4, col5 = st.columns(5)
|
| 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]) |
