def recommend():
user_input = dict(request.args)
method_ = list(user_input.values())[-1]
recommender = Recommender(user_input)
spark_recommender = sparkRecommender(user_input)
if method_ == "NMF":
recommendations = recommender.nmf()
elif method_ == "Cosine":
recommendations = recommender.cosine()
else:
recommendations = spark_recommender.als()
imdb_ids_dict = postgres_extract(recommendations.keys())
for movie_id, imdb_id in imdb_ids_dict.items():
recommendations[movie_id]["omdb_dict"] = omdb_extract(imdb_id)
return render_template("recommendation.html",
movies=recommendations,
input=user_input)
