app.py

import streamlit as st
import pickle
import pandas as pd
import requests

st.set_page_config(layout="wide")


def fetch_poster(movie_id):
    response = requests.get(
        'https://api.themoviedb.org/3/movie/{}?api_key=8f21da0c1e1b6d8ae68f49a6203141fb'.format(movie_id))
    data = response.json()

    return "https://image.tmdb.org/t/p/w500/" + data['poster_path']


def recommend(movie):
    movie_index = movies[movies['title'] == movie].index[0]
    distances = similarity[movie_index]
    movies_list = sorted(list(enumerate(distances)), reverse=True, key=lambda x: x[1])[1:6]

    recommended_movies_posters = []
    recommended_movies = []
    for i in movies_list:
        movie_id = movies.iloc[i[0]].movie_id

        recommended_movies.append(movies.iloc[i[0]].title)
        # fetch poster using api from
        recommended_movies_posters.append(fetch_poster(movie_id))
    return recommended_movies, recommended_movies_posters


movies_dict = pickle.load(open('movies_dictionary.pkl', 'rb'))
movies = pd.DataFrame(movies_dict)

similarity = pickle.load(open('https://drive.google.com/file/d/1w4mDqPpfGjTDt7jNddDEbnHPzrQy2IqU/view?usp=sharing', 'rb'))

# similarity = pickle.load(open('similarity.pkl', 'rb'))

st.title('Movie Recommender System')

selected_movie_name = st.selectbox('Select or type Movie Name :', movies['title'].values)

if st.button('Recommend'):
    names, posters = recommend(selected_movie_name)
    col1, col2, col3, col4, col5 = st.columns(5)
    with col1:
        st.text(names[0])
        st.image(posters[0])
    with col2:
        st.text(names[1])
        st.image(posters[1])
    with col3:
        st.text(names[2])
        st.image(posters[2])
    with col4:
        st.text(names[3])
        st.image(posters[3])
    with col5:
        st.text(names[4])
        st.image(posters[4])


    st.write("\n\n\n\n\n\n\n\n\n\n\n")
    st.markdown("******")

    st.write(
        "Contributor : [Ankit Nainwal](https://github.com/nano-bot01) \n [LinkedIn]("
        "https://www.linkedin.com/in/ankit-nainwal1/)")