main.py

import pickle
import streamlit as st
import requests

# genre lang rate sorting
def movie_rating_wise(genre, lang, rate, sorting):
    url = "https://ott-details.p.rapidapi.com/advancedsearch"

    querystring = {"start_year": "1970", "end_year": "2022", "min_imdb": str(rate), "max_imdb": "10", "genre": str(genre),
                   "language": str(lang), "type": "movie", "sort": str(sorting), "page": "1"}
    headers = {
        "X-RapidAPI-Host": "ott-details.p.rapidapi.com",
        "X-RapidAPI-Key": "a699c7caa6msha7289db5830307cp166710jsnf6b9b3e6b2de"
    }
    try:
        response = requests.request("GET", url, headers=headers, params=querystring)
        val = response.json()
        now = val['results']
        return now
    except:
        print("Api call failed")

def movie_details(movie_name):
    url = "https://movie-details1.p.rapidapi.com/imdb_api/movie"
    querystring = {"id": iddd(movie_name)}
    headers = {
        "X-RapidAPI-Host": "movie-details1.p.rapidapi.com",
        "X-RapidAPI-Key": "a699c7caa6msha7289db5830307cp166710jsnf6b9b3e6b2de"
    }
    try:
        response = requests.request("GET", url, headers=headers, params=querystring)
        val = response.json()
        rating=val['rating']
        release_year=val['release_year']
        duration=val['runtime']
        description=val['description']
        actors=val['actors']
        return rating,release_year,duration,description,actors
    except:
        print("Api call failed")

def iddd(movie_name):
    url = "https://online-movie-database.p.rapidapi.com/auto-complete"
    print(movie_name)
    querystring = {"q": movie_name}
    headers = {
        "X-RapidAPI-Host": "online-movie-database.p.rapidapi.com",
        "X-RapidAPI-Key": "a699c7caa6msha7289db5830307cp166710jsnf6b9b3e6b2de"
    }
    try:
        response = requests.request("GET", url, headers=headers, params=querystring)
        val=response.json()
        i=val["d"][0]["id"]
        return i
    except:
        print("Api call failed")

def fetch_poster(movie_id):
    url = "https://api.themoviedb.org/3/movie/{}?api_key=b698f9920dd30f26a6a1c9426fb1ec65&language=en-US".format(movie_id)
    try:
        data = requests.get(url)
        data = data.json()
        # print(data)
        genre = data['genres']
        data_genre = []
        for x in genre:
            data_genre.append(x['name'])
            # print(x['name'])
        poster_path = data['poster_path']
        full_path = "https://image.tmdb.org/t/p/w500/" + poster_path
        return full_path,data_genre
    except:
        print("Api call failed")

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 = []
    recommended_movie_genre = []

    with st.spinner('Wait for a few seconds ...'):
        for i in distances[1:12]:
            # fetch the movie poster
            movie_id = movies.iloc[i[0]].movie_id
            a,b=fetch_poster(movie_id)
            recommended_movie_posters.append(a)
            recommended_movie_names.append(movies.iloc[i[0]].title)
            recommended_movie_genre.append(b)
    return recommended_movie_names,recommended_movie_posters,recommended_movie_genre


st.markdown("<h1 style='text-align: center;'>Sinemate</h1>", unsafe_allow_html=True)

selected_option= st.sidebar.selectbox(
        "Select the recommendation system:",
        ( 'Genre', 'Movie'))

if selected_option=="Movie":

    st.header('Movie Recommender System')
    movies = pickle.load(open('models/movie_list.pkl','rb'))
    similarity = pickle.load(open('models/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,recommended_movie_genre = recommend(selected_movie)

        # Row 1
        for i in range(0,9):
            st.subheader(recommended_movie_names[i])
            st.image(recommended_movie_posters[i],width=250,caption=recommended_movie_names[i])
            print('\n')
            y=''
            for x in recommended_movie_genre[i]:
                y+=x+' , '
            with st.spinner('Fetching movie details ...'):
                try:
                    rating, release_year, duration, description, actors = movie_details(recommended_movie_names[i])
                    st.markdown("Ratings : " + str(rating))
                    st.markdown("Release Year : " + str(release_year))
                    st.markdown("Duration : " + str(duration))
                    st.markdown("Genre : " + y)
                    st.markdown("Description : " + str(description))
                    leads=''
                    for j in range(0,4):
                        leads+=actors[j]['name']+' , '
                    st.markdown("Cast : " + str(leads))
                except:
                    print("Api call failed")

elif selected_option=="Genre":
    st.header("Genre Based Recommendation System")
    genre = st.selectbox(
        "What's your favorite movie genre",
        ('action','Comedy','romance', 'Drama', 'Documentary','horror','drama','thriller'))

    lang = st.radio(
        "Please Select the language of the film",
        ('English', 'Hindi', 'Tamil','French','Japanese'))

    rate = st.slider('Select the minimum rating of the movie ', 0, 10, 1)

    sorting = st.selectbox(
        'Select the order of filtering?',
        ('highestrated' , 'lowestrated' , 'latest' , 'oldest'))

    if st.button('Show Recommendation'):
        with st.spinner('Fetching movie details ...'):
            try:
                val=movie_rating_wise(genre ,lang ,rate ,sorting)
            except:
                print("api call failed")


        for i in range(0,len(val)):
            st.subheader(val[i]['title'])
            try:
                st.image(val[i]['imageurl'],caption=val[i]["title"])
            except:
                print("Image Not found")
            try:
                st.markdown("Ratings : " + str(val[i]['imdbrating']))
            except:
                print("Ratings Not found")
            try:
                st.markdown("Release Year : " + str(val[i]['released']))
            except:
                print("Release year Not found")
            try:
                xx=val[i]['genre']
                ss=""
                for i in range(0,len(xx)):
                    ss += xx[i]+' , '
                st.markdown("Genre : "+ss)
            except:
                print("Ratings Not found")
            try:
                st.markdown("Description : " + str(val[i]['synopsis']))
            except:
                print("Synopsis not found")