app.py

from datasets import load_dataset
import streamlit as st
import pandas as pd

from huggingface_hub import HfFileSystem
fs = HfFileSystem()

# Load your dataset (replace 'your-dataset' with the actual dataset name)
csv_url = 'https://huggingface.co/datasets/NENS/wim_data/resolve/main/input_employees/boran.csv'

df = pd.read_csv('esther.csv')

st.write(df)

df.loc[df['week'] == 42, 'druk'] = 'heel druk'


hoi= fs.ls("datasets/NENS/wim_data/input_employees/", detail=False)
st.write(hoi)

button = st.button('do it')

if button:
    
    st.write(df)

    with fs.open("datasets/NENS/wim_data/input_employees/test.csv", "w") as f:
        f.write("text,label")
        f.write("Fantastic movie!,good")

        #https://huggingface.co/datasets/NENS/wim_data/resolve/main/input_employees/esther.csv
    
    #df.to_csv("hf://spaces/NENS/test/test.csv")
    print('het werkt!')