Upload core.py

core.py

@@ -186,7 +186,7 @@ def drop_non_numerical_columns(df):
 def output_list(input_dict, movies_df = movie_embeds, tree = btree, user_embeddings = user_embeds, movies = final_movies):
     movie_ratings = {}
     for movie_title, rating in input_dict:
-        index = movies.index[movies['title'] == True].tolist()[0]
+        index = movies.index[movies['title'] == movie_title].tolist()[0]
         movie_ratings[index] = rating
     user_embed = create_user_embedding(movie_ratings, movie_embeds)
     # Call the find_closest_user function with the pre-built BallTree