my_recommending==0.1.19, catboost aggregator

app.py

@@ -12,23 +12,25 @@ project = "Recommending"
 tmdb_api_token = os.environ["TMDB_API_TOKEN"]
 lightning_class = MovieLensNonGradientRecommender
 config = dict(
-    model_artifact="my_mf_slim_movielens_25m:latest",
-    data_artifact="movielens25m:latest",
+    model_artifact="catboost_aggregator_25m:v5",
+    data_artifact="movielens25m:v4",
     media_directory="media",
     n_recommendations_from_imdb_ratings=50,
 )
 
 wandb.init(job_type="app", project=project, config=config)
 
+data_artifact = wandb.use_artifact(config["data_artifact"])
+data_directory = data_artifact.download()
+
 model_artifact = wandb.use_artifact(config["model_artifact"])
 checkpoint_path = model_artifact.file()
+
 lightning_module = lightning_class.load_from_checkpoint(
     checkpoint_path, map_location="cpu"
 )
 recommender = lightning_module.model.eval()
 
-data_artifact = wandb.use_artifact(config["data_artifact"])
-data_directory = data_artifact.download()
 movielens = MovieLens25m(directory=data_directory)
 movie_markdown_generator = MovieMarkdownGenerator(
     movielens=movielens, tmdb_api_token=tmdb_api_token

requirements.txt

@@ -1 +1 @@
-my_recommending==0.1.18
+my_recommending==0.1.19