File size: 1,252 Bytes
e90e7ba 9650f42 e90e7ba d2082a1 e90e7ba e98811a e90e7ba e98811a e90e7ba f648e82 e90e7ba f648e82 e90e7ba f648e82 e90e7ba f648e82 e90e7ba f648e82 e90e7ba f648e82 e90e7ba e98811a e90e7ba |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 |
# 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')
import streamlit as st
if st.button('Say hello'):
st.write('Why hello there')
else:
st.write('Goodbye')
|