How can I convert bentoml example v0.13.2 -> v1.0.5

[KimSoungRyoul]

v0.13.2

import pandas as pd

from bentoml import env, artifacts, api, BentoService
from bentoml.adapters import DataframeInput, JsonOutput
from bentoml.frameworks.sklearn import SklearnModelArtifact

# BentoML packages local python modules automatically for deployment
from my_ml_utils import my_encoder

@env(infer_pip_packages=True)
@artifacts([SklearnModelArtifact('my_model')])
class MyPredictionService(BentoService):
    """
    A simple prediction service exposing a Scikit-learn model
    """

    @api(input=DataframeInput(), output=JsonOutput(), batch=True)
    def predict(self, df: pd.DataFrame):
        """
        An inference API named `predict` that takes tabular data in pandas.DataFrame 
        format as input, and returns Json Serializable value as output.

        A batch API is expect to receive a list of inference input and should returns
        a list of prediction results.
        """
        model_input_df = my_encoder.fit_transform(df)
        predictions = self.artifacts.my_model.predict(model_input_df)

        return list(predictions)

v1.0.5

????

[aarnphm]

Hi there, please see our migration guide

[KimSoungRyoul]

Oh, I asked you a stupid question

thank you for your answer