2022-05-15 12:41:28 +02:00
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import json
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import mlflow
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import numpy as np
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import sys
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import tarfile
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2022-05-15 12:55:35 +02:00
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2022-05-15 12:41:28 +02:00
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file = tarfile.open('mlruns.tar.gz')
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file.extractall('./ml')
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input = str((sys.argv[1:])[0])
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PATH = "ml/mlruns/1/f65f936936024133a2c03e1e486ba9cf/artifacts/model/"
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2022-05-15 12:56:40 +02:00
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model =mlflow.pyfunc.load_model(f"{PATH}")
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2022-05-15 12:41:28 +02:00
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2022-05-15 12:57:28 +02:00
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with open(f'{PATH}{input}', 'r') as file:
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2022-05-15 12:41:28 +02:00
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json_data = json.load(file)
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2022-05-15 12:53:35 +02:00
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2022-05-15 12:58:16 +02:00
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print(f"Input: {json_data['inputs']}")
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2022-05-15 13:00:29 +02:00
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print(f"Prediction: {model.predict(np.array([json_data['inputs']]))}")
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