run.py

import pickle
from renumics import spotlight
import os
import requests
import pandas as pd
from renumics import spotlight
from renumics.spotlight.analysis import DataIssue



if __name__ == "__main__":
    cache_file = "dataset_cache.pkl"

    if os.path.exists(cache_file):
        # Load dataset from cache
        with open(cache_file, "rb") as file:
            df = pickle.load(file)
        print("Dataset loaded from cache.")

        label_issue_rows = df[df["is_label_issue"]].sort_values("label_score").index.tolist()
        label_issue = DataIssue(severity="medium", title="label-issue", rows=label_issue_rows, description="Label issue found by cleanlab")

        outlier_issue_row = df[df["outlier_score"]<0.6].sort_values("outlier_score").index.tolist()
        outlier_issue = DataIssue(severity="medium", title="outlier-issue", rows=outlier_issue_row, description="Outlier score < 0.6")

        near_duplicate_issue_row = df[df["is_near_duplicate_issue"]].sort_values("near_duplicate_score").index.tolist()
        near_duplicate_issue = DataIssue(severity="medium", title="near-duplicate-issue", rows=near_duplicate_issue_row, description="Near duplicate issue found by cleanlab")

        df = df.drop(["full_image"], axis=1)
        while True:
            dtypes = {
                "image": spotlight.Image,
                "embedding": spotlight.Embedding,
                "embedding_reduced": spotlight.Embedding,
                "probabilities": spotlight.Embedding,
            }

            view = spotlight.show(
                df,
                dtype=dtypes,
                issues=[label_issue,outlier_issue,near_duplicate_issue],
                layout="layout.json",
                port=7860,
                host="0.0.0.0",
                allow_filebrowsing=False,
            )

            view.close()

    else:
        print(f"Dataset {cache_file} not found. Please run prepare.py first.")