Insightly/Movie_Recommender

1import pickle2import streamlit as st3import requests4 5# Set page title and sidebar properties6st.set_page_config(page_title="Insightly")7 8st.markdown(9    """10    <style>11    .image-container {12        margin-bottom: 60px;13    }14    .sidebar-link {15        display: flex;16        justify-content: left;17        font-size: 28px;18        margin-top: 10px; /* Adjust margin-top value to control space on the top */19        margin-left: 20px; /* Adjust margin-left value to add space from the left */20    }21    .vertical-space {22        height: 20px;23    }24    .movie-title {25        font-size: 18px;26        font-weight: bold;27    }28    .row-padding {29        padding-bottom: 40px;30    }31    </style>32    """,33    unsafe_allow_html=True,34)35 36# Sidebar contents37with st.sidebar:38    st.image("https://i.ibb.co/bX6GdqG/insightly-wbg.png", use_column_width=True)39    st.markdown("<p class='sidebar-link'>📈 <a href='https://insightly-csv-bot.hf.space/'>  CSV Bot</a></p>", unsafe_allow_html=True)40    st.markdown("<p class='sidebar-link'>📚  <a href='https://chandrakalagowda-demo2.hf.space/'>  PDF Bot </a></p>", unsafe_allow_html=True)41    st.markdown("<p class='sidebar-link'>📸  <a href='https://insightly-frame-capturer.hf.space/'>  Frame Capturer</a></p>", unsafe_allow_html=True)42    st.markdown("<p class='sidebar-link'>🖼️  <a href='https://insightly-image-reader.hf.space/'>  Image Reader</a></p>", unsafe_allow_html=True)43    st.markdown("<div class='vertical-space'></div>", unsafe_allow_html=True)44 45 46 47def fetch_poster(movie_id):48    url = "https://api.themoviedb.org/3/movie/{}?api_key=8265bd1679663a7ea12ac168da84d2e8&language=en-US".format(movie_id)49    data = requests.get(url)50    data = data.json()51    poster_path = data['poster_path']52    full_path = "https://image.tmdb.org/t/p/w500/" + poster_path53    return full_path54 55def recommend(movie):56    index = movies[movies['title'] == movie].index[0]57    distances = sorted(list(enumerate(similarity[index])), reverse=True, key=lambda x: x[1])58    recommended_movie_names = []59    recommended_movie_posters = []60    for i in distances[1:6]:61        # fetch the movie poster62        movie_id = movies.iloc[i[0]].movie_id63        recommended_movie_posters.append(fetch_poster(movie_id))64        recommended_movie_names.append(movies.iloc[i[0]].title)65 66    return recommended_movie_names,recommended_movie_posters67 68 69st.title('Movie Recommender 🎬')70 71# Provide the correct absolute paths to the pickled data72movie_list_path = "https://drive.google.com/file/d/1OmueIayrvczEQKRWIOfEkKH5zLWGxCn1/view?usp=drive_link"73similarity_path = "https://drive.google.com/file/d/1RI6XgtbaNxlBqZM0cznOZXN88tQWo98a/view?usp=drive_link"74 75movies = pickle.load(open(movie_list_path, 'rb'))76similarity = pickle.load(open(similarity_path, 'rb'))77 78 79movies = pickle.load(open(movie_list_path, 'rb'))80similarity = pickle.load(open(similarity_path, 'rb'))81 82movie_list = movies['title'].values83selected_movie = st.selectbox(84    "Type or select a movie from the dropdown",85    movie_list86)87 88if st.button('Show Recommendation'):89    recommended_movie_names, recommended_movie_posters = recommend(selected_movie)90 91    # Create columns based on the number of recommended movies92    num_recommendations = len(recommended_movie_names)93    num_columns = 394    num_rows = (num_recommendations + num_columns - 1) // num_columns  # Calculate the number of rows required95 96    # Create a list of columns97    cols = [st.columns(num_columns) for _ in range(num_rows)]98 99    # Loop through recommended movies and posters and display them in the columns100    for i, movie_name in enumerate(recommended_movie_names):101        col_index = i // num_columns102        row_index = i % num_columns103        cols[col_index][row_index].markdown(f"<span class='movie-title'>{movie_name}</span>", unsafe_allow_html=True)104        cols[col_index][row_index].image(recommended_movie_posters[i])105 106    # Add padding between the rows107    st.markdown("<br>", unsafe_allow_html=True)108    st.write('<div class="row-padding"></div>', unsafe_allow_html=True)109 110 111