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18 lines
360 B
Python
18 lines
360 B
Python
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import json
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import mlflow
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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)['inputs']
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data_into_dict = {idx:x for idx, x in enumerate(json_data)}
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print(model.predict(pd.DataFrame([data_into_dict]))) |