ium_s434700/predict/predict.py

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import json
import mlflow
import pandas as pd
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model = mlflow.keras.load_model("./prediction_data/movies_imdb")
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with open('./prediction_data/movies_imdb/input_example.json', 'r') as datafile:
data = json.load(datafile)
example_input = data["inputs"]
input_dictionary = {i: x for i, x in enumerate(example_input)}
input_ex = pd.DataFrame(input_dictionary, index=[0])
print(model.predict(input_ex))