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Update app.py
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app.py
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@@ -1,5 +1,3 @@
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import numpy as np
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import pandas as pd
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import pickle
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@@ -30,8 +28,9 @@ from neuralforecast.models import NBEATS
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def load_model():
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download_dir = snapshot_download(REPO_ID)
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saved_model_dir = os.path.join(download_dir, "saved_model")
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prediction_model = NeuralForecast.load(saved_model_dir)
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futr_df = Dataset.from_pandas(futr_df)
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return prediction_model
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import numpy as np
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import pandas as pd
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import pickle
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def load_model():
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download_dir = snapshot_download(REPO_ID)
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saved_model_dir = os.path.join(download_dir, "saved_model")
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futr_df = Dataset.from_pandas(futr_df)
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prediction_model = NeuralForecast.load(saved_model_dir)
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return prediction_model
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