app.py

import pickle
import streamlit as st
import requests
def fetch_poster(movie_id):
    url = "https://api.themoviedb.org/3/movie/{}?api_key=SECRATE&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[1:11]:
        # fetch the movie poster
        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.title('Movie Recommendation System')
st.markdown('Made by **_Ronak Munjapara_**')
st.subheader("Feels like watching a movie to Enjoy & Chill, but are not sure what movie to select?")
movies = pickle.load(open('./movie_list.pkl','rb'))
similarity = pickle.load(open('./similarity.pkl','rb'))

st.write("We have a list of Top 9 Best movie recommendations based on your mood & Favourite Genres at your fingertips!")
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 = st.columns(3)
    col4, col5, col6 = st.columns(3)
    col7, col8, col9 = st.columns(3)



    with col1:
        st.write(recommended_movie_names[0])
        st.image(recommended_movie_posters[0])
    with col2:
        st.write(recommended_movie_names[1])
        st.image(recommended_movie_posters[1])

    with col3:
        st.write(recommended_movie_names[2])
        st.image(recommended_movie_posters[2])
    with col4:
        st.write(recommended_movie_names[3])
        st.image(recommended_movie_posters[3])
    with col5:
        st.write(recommended_movie_names[4])
        st.image(recommended_movie_posters[4])



    with col6:
        st.write(recommended_movie_names[5])
        st.image(recommended_movie_posters[5])
    with col7:
        st.write(recommended_movie_names[6])
        st.image(recommended_movie_posters[6])
    with col8:
        st.write(recommended_movie_names[7])
        st.image(recommended_movie_posters[7])
    with col9:
        st.write(recommended_movie_names[8])
        st.image(recommended_movie_posters[8])