main.py

from sklearn.metrics import (

    ConfusionMatrixDisplay,

    confusion_matrix,

    accuracy_score,

    f1_score

)

import tempfile

from pathlib import Path

from sklearn.datasets import load_iris

from sklearn.linear_model import LogisticRegression

from skops import card
from skops import hub_utils
# hub_utils.download(repo_id="scikit-learn/tabular-playground", dst = "./dst")


import pickle
model = pickle.load(open("./dst/model.pkl", "rb"))

# model = LogisticRegression(solver="liblinear", random_state=0).fit(X, y)

model_card = card.Card(model)

model_card.metadata.license = "mit"

model_card.add(
    citation_bibtex="""
    
    # h1
    tjos osmda

    """,
    trainingprocedure="123",
)


model_card.save("README.md")