run.py

import pickle
import datasets
from renumics import spotlight
import os
import pandas as pd
import pickle 
from renumics import spotlight

if __name__ == "__main__":
    cache_file = "dataset_cache.pkl"
    issue_cache_file="sliceline.pkl"
    
    import pandas as pd

    #load dataframe from parquet
    df = pd.read_parquet('cifar100-enriched-cv.parquet')    
    
    with open(issue_cache_file, "rb") as issue_file:
         issues = pickle.load(issue_file)
 
    df_show = df.drop(columns=['embedding', 'probabilities'])
    
    while True:
        view = spotlight.show(df_show, port=7860, host="0.0.0.0", issues=issues,
                    dtype={"image": spotlight.Image, "embedding_reduced": spotlight.Embedding}, allow_filebrowsing=False)
        view.close()