19 lines
541 B
Python
19 lines
541 B
Python
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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import os
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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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print(os.listdir(PATH))
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model = mlflow.pytorch.load_model(f"{PATH}/MLmodel")
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with open(f'[PATH]/{input}', 'r') as file:
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json_data = json.load(file)
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print(f"Input: {json_data['inputs'][0]}")
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print(f"Prediction: {model.predict(np.array([json_data['inputs'][0]], dtype=np.float32))}") |