ium_434788/Zadanie_09_MLflow_Predict_Registry.py

from mlflow.tracking import MlflowClient
import mlflow
import pandas as pd

mlflow.set_tracking_uri("http://172.17.0.1:5000")
client = MlflowClient()
version = 3
model_name = "s434695"
#for mv in client.search_model_versions(f"name='{model_name}'"):
#    if int(mv.version) > version:
#        version = int(mv.version)

print(f"selected version {version}")

print(f"I will search for URI: models:/{model_name}/{version}")

model = mlflow.keras.load_model(
    model_uri=f"models:/{model_name}/{version}"
)

data = pd.read_json('my_model/input_example.json', orient='split')

print(data)
print(model.predict(data))