from flask import Flask, render_template, request, redirect, url_for, session, flash import pandas as pd import joblib from fuzzywuzzy import process from flask_bcrypt import Bcrypt from functools import wraps import os from supabase import create_client, Client from dotenv import load_dotenv load_dotenv() app = Flask(__name__) app.secret_key = os.getenv("SECRET_KEY") bcrypt = Bcrypt(app) movies = pd.read_csv('core/data/processed_movies_with_posters.csv') cosine_sim = joblib.load('core/model/cosine_sim.pkl') def get_recommendations(title, cosine_sim=cosine_sim): title = title.lower() if title not in movies['title'].str.lower().values: close_matches = process.extract(title, movies['title'].str.lower().values, limit=5) return None, [movies[movies['title'].str.lower() == match[0]].iloc[0] for match in close_matches] idx = movies[movies['title'].str.lower() == title].index[0] sim_scores = list(enumerate(cosine_sim[idx])) sim_scores = sorted(sim_scores, key=lambda x: x[1], reverse=True) sim_scores = sim_scores[1:11] movie_indices = [i[0] for i in sim_scores] return movies.iloc[movie_indices], None def get_recommendations_by_id(movie_id, cosine_sim=cosine_sim): idx = movies[movies['id'] == movie_id].index[0] sim_scores = list(enumerate(cosine_sim[idx])) sim_scores = sorted(sim_scores, key=lambda x: x[1], reverse=True) sim_scores = sim_scores[1:6] movie_indices = [i[0] for i in sim_scores] return movies.iloc[movie_indices] @app.route('/') def home(): return render_template('recommendation.html', movies=movies.sample(20).to_dict(orient='records')) @app.route('/movie/') def movie_details(id): movie = movies[movies['id'] == id].iloc[0] recommendations = get_recommendations_by_id(id).to_dict(orient='records') return render_template('movie_details.html', movie=movie, recommendations=recommendations) @app.route('/recommend', methods=['POST']) def recommend(): title = request.form['title'] recommendations, close_matches = get_recommendations(title) if recommendations is None: flash("Movie title not found. Did you mean one of these?", 'warning') return render_template('recommendation.html', movies=[match.to_dict() for match in close_matches]) return render_template('recommendation.html', movies=recommendations.to_dict(orient='records')) @app.route('/search', methods=['GET', 'POST']) def search(): if request.method == 'POST': query = request.form['query'] results = movies[movies['title'].str.contains(query, case=False, na=False)] return render_template('search.html', movies=results.to_dict(orient='records')) return render_template('search.html', movies=None) @app.route('/filter', methods=['GET', 'POST']) def filter(): genres = sorted(movies['genre'].str.split(',', expand=True).stack().dropna().unique()) languages = sorted(movies['original_language'].dropna().unique()) if request.method == 'POST': selected_genre = request.form.get('genre') selected_language = request.form.get('language') if not selected_genre and not selected_language: return render_template('filter.html', movies=None, genres=genres, languages=languages, error_message="No movies found. Please adjust your filters.") filtered_movies = movies.copy() if selected_genre: filtered_movies = filtered_movies[filtered_movies['genre'].str.contains(selected_genre, na=False)] if selected_language: filtered_movies = filtered_movies[filtered_movies['original_language'] == selected_language] filtered_movies['genre'] = filtered_movies['genre'].fillna('').astype(str) sample_size = min(50, len(filtered_movies)) filtered_movies = filtered_movies.sample(sample_size).to_dict(orient='records') return render_template('filter.html', movies=filtered_movies, genres=genres, languages=languages, error_message=None) return render_template('filter.html', movies=None, genres=genres, languages=languages, error_message=None) if __name__ == '__main__': app.run(host='0.0.0.0', port=7860)