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

def fetch_poster(movie_id):
    # url = "https://api.themoviedb.org/3/movie/{}?api_key=8fe6f2aa0e5d863d7fd4dc7994cfbce9&language=en-US".format(movie_id)
    # data = requests.get(url)
    #st.write(movie_id)
    url = "https://api.themoviedb.org/3/movie/{}?language=en-US".format(movie_id)
    headers = {
        "accept": "application/json",
        "Authorization": "Bearer eyJhbGciOiJIUzI1NiJ9.eyJhdWQiOiI4ZmU2ZjJhYTBlNWQ4NjNkN2ZkNGRjNzk5NGNmYmNlOSIsIm5iZiI6MTcyMDk0MzA0MC41MTQyMDgsInN1YiI6IjY2OGY3NzQ2OGUzOWM5YzlmMjEwZWQxOSIsInNjb3BlcyI6WyJhcGlfcmVhZCJdLCJ2ZXJzaW9uIjoxfQ.zYIfFcNM8Y_Z33JOczRQO8PBoU-RlkoFQeFyAiqkLpw"
    }

    data = response = requests.get(url, headers=headers)
    #st.write(data)
    data = data.json()
    #st.write(data)
    poster_path = data['poster_path']
    # print(response.text)
    full_path = "https://image.tmdb.org/t/p/w500/" + poster_path
    return full_path

def recommend(movie):
    index = movies[movies['title'] == movie].index[0]
    # index = 385
    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]:
        # fetch the movie poster
        movie_id = movies.iloc[i[0]].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('movie_names.pkl','rb'))
movies = pd.DataFrame(movies)
similarity = pickle.load(open('similarity.pkl','rb'))

movie_list = movies['title'].values
selected_movie = st.selectbox(
    "Type or select a movie from the dropdown",
    movie_list
)
print(selected_movie)
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])