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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: | |
dtypes = { | |
"nn_image": spotlight.Image, | |
"image": spotlight.Image, | |
"embedding_ft": spotlight.Embedding, | |
"embedding_foundation": spotlight.Embedding, | |
"embedding_ft_precalc": spotlight.Embedding, | |
"embedding_foundation_precalc": spotlight.Embedding, | |
} | |
view = spotlight.show( | |
df, | |
dtype=dtypes, | |
layout="https://spotlight.renumics.com/resources/layout_pre_post_ft_hf.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.") | |