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import logging
logging.getLogger().setLevel(logging.DEBUG)
logging.getLogger("mlflow").setLevel(logging.DEBUG)

import litellm
import mlflow
from dotenv import load_dotenv

load_dotenv()

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import os

import mlflow
from dotenv import load_dotenv
from openai import OpenAI

load_dotenv()

mlflow.openai.autolog()
mlflow.set_experiment("genai_openai_example")

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{
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    },
    "JobStatus": "SUCCEEDED",
    "Blocks": [
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            "Geometry": {
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TITLE

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import mlflow
from mlflow.models import infer_signature

import pandas as pd
from sklearn import datasets
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score

mlflow.set_tracking_uri(uri="http://localhost:5000")