added model training
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@ -14,23 +14,19 @@ def check_datasets_presence():
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dataset_1 = "Spotify_Dataset.csv"
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dataset_2 = "spotify_songs.csv"
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destination_folder = "datasets"
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destination_folder = "artifacts"
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if not os.path.exists(destination_folder):
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os.makedirs(destination_folder)
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print(f"Utworzono folder: {destination_folder}")
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else:
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print(f"Folder {destination_folder} już istnieje.")
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raise FileNotFoundError(destination_folder + " folder not found")
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if dataset_1 in os.listdir("/."):
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shutil.move(dataset_1, destination_folder)
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elif dataset_1 not in os.listdir(destination_folder):
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raise FileNotFoundError(dataset_1 + "not found")
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raise FileNotFoundError(dataset_1 + " not found")
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if dataset_2 in os.listdir("/."):
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shutil.move(dataset_2, destination_folder)
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elif dataset_2 not in os.listdir(destination_folder):
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raise FileNotFoundError(dataset_2 + "not found")
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raise FileNotFoundError(dataset_2 + " not found")
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def datasets_preparation():
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df_1 = pd.read_csv("datasets/spotify_songs.csv")
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