15 lines
392 B
Python
15 lines
392 B
Python
import mlflow
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import pandas as pd
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import json
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model = mlflow.keras.load_model("my_model")
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data = None
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try:
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with open('input.json') as json_file:
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data = json.load(json_file)
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except:
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with open('my_model/input_example.json') as json_file:
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data = json.load(json_file)
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with open('result.txt', 'w+', encoding="UTF-8") as f:
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f.write(str(model.predict([data["inputs"]]))) |