ium_430705/lab_09_predict_coop.py

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import json
import mlflow
import pandas as pd
model_name = "s430705"
model_version = 8
mlflow.set_tracking_uri("http://172.17.0.1:5000")
model = mlflow.pyfunc.load_model(
model_uri=f"models:/{model_name}/{model_version}"
)
with open('movies_imdb2/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))