app.py

#importing Dependencies
import streamlit as st
import pickle
import pandas as pd
import requests
#loading required files from colab
movies_list=pickle.load(open("movies.pkl","rb"))
similarity=pickle.load(open("similarity.pkl","rb"))
movies_dict=pickle.load(open("moviesdict.pkl","rb"))
movies=pd.DataFrame(movies_dict)
#function to fetch the poster of recommended movie
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
#function to fetch the recommended movies
def recommend(movie):
    index = movies[movies['title'] == movie].index[0]
    distances = sorted(list(enumerate(similarity[index])), reverse=True, key=lambda x: x[1])
    recommended_movies=[]
    recommended_movie_posters=[]
    for i in distances[1:6]:
        movie_id = movies.iloc[i[0]].id
        recommended_movie_posters.append(fetch_poster(movie_id))
        recommended_movies.append(movies.iloc[i[0]].title)

    return recommended_movies,recommended_movie_posters


#streamlit app
st.title("Movie Recommender")
selected_movie_name = st.selectbox(
    'Select Your Favorite movie',movies_list)

st.write('You selected:', selected_movie_name)

if st.button('Show Recommendation'):
    recommended_movies,recommended_movie_posters = recommend(selected_movie_name)
    col1, col2, col3, col4, col5 = st.columns(5)
    with col1:
        st.text(recommended_movies[0])
        st.image(recommended_movie_posters[0])
    with col2:
        st.text(recommended_movies[1])
        st.image(recommended_movie_posters[1])

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