23 lines
381 B
Python
23 lines
381 B
Python
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import json
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import mlflow
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import torch
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import numpy as np
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import pandas as pd
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import sys
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arguments = sys.argv[1:]
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input = str(arguments[0])
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model = mlflow.pytorch.load_model("my_model")
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with open(f'my_model/{input}', 'r') as file:
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json_data = json.load(file)
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print(json_data)
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print(json_data['inputs'])
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print(model(torch.tensor(np.array(json_data['inputs'])).float()))
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