app.py

from datasets import load_dataset
import streamlit as st
import pandas as pd
from huggingface_hub import HfApi, list_models
import os

# from datasets import Dataset
# Dataset.cleanup_cache_files

st.write('dataset')
dataset = load_dataset("Seetha/visual_cs")
df = pd.DataFrame.from_dict(dataset["train"])

st.write('dataset-retrieved')
st.write(df)

HF_TOKEN = os.environ.get("HF_TOKEN")
st.write("is none?", HF_TOKEN is None)
HfApi().delete_file(path_in_repo = 'raw/main/final_data.csv',repo_id = 'Seetha/visual_cs',token= HF_TOKEN)
st.write('file-deleted')