run.py

import pickle
from renumics import spotlight
import os

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.")


        while True:
            df = df.drop(columns=["embedding_ft", "nn_image"])
            dtypes = {
                "image": spotlight.Image,
                "embedding_foundation": spotlight.Embedding,
                "embedding_foundation_precalc": spotlight.Embedding,
            }
            view = spotlight.show(
                df,
                dtype=dtypes,
                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.")