import urllib.request
import streamlit as st
import os
from datasets import load_from_disk
import requests
with urllib.request.urlopen('https://huggingface.co/datasets/Seetha/Visualization') as response:
    data = response.read()

with open('./level2.json','r+') as fi:
    data = fi.read()
    st.write('before change', data)
    fi.seek(0)
    fi.write('Hello world!')
    fi.truncate()
    st.write(os.path.abspath("./level2.json"))

with open('./level2.json','w') as dat:
    dat.write('hello hello')
    #st.write(data_after)

# bin_file = open('./level2.json', 'rb')

# # Execute the request
# response = requests.post('https://huggingface.co/datasets/Seetha/Visualization', files={'file': bin_file})

# # Close the file
# bin_file.close()

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("Seetha/Visualization")

# Make changes to the dataset
# ...

# Save the changed dataset to a file
dataset.save_to_disk('./level.json')

# In your Streamlit app, load the dataset from the file
dataset = load_dataset('json', data_files='./level.json')