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import streamlit as st
import pandas as pd
from huggingface_hub import Repository
import os
from pathlib import Path
import csv
# assign directory
auth_token = os.environ.get("space_to_dataset") or True
#data = pd.read_csv("test.csv")
#for line in data:
# st.write(line)
title = st.text_input('Movie title', 'Life of Brian')
if st.button('Submit'):
new_row = title
# data = data.append(new_row, ignore_index=True)
# st.write(data)
# st.write(os.getcwd())
# data.to_csv('test.csv', index= False)
DATASET_REPO_URL = 'ppsingh/annotation_data'
DATA_FILENAME = "test.csv"
DATA_FILE = os.path.join("data", DATA_FILENAME)
repo = Repository( local_dir="data", clone_from=DATASET_REPO_URL, repo_type="dataset", use_auth_token= auth_token)
df = pd.read_csv('data/test.csv')
st.write(df)
# st.write('data/test.csv')
# iterate over files in
# that directory
directory = os.getcwd()
files = Path(directory).glob('*')
for file in files:
st.write(file)
with open(DATA_FILE, "a") as csvfile:
writer = csv.DictWriter(csvfile, fieldnames=["Sentences"])
writer.writerow({'Sentences': new_row})
repo.push_to_hub('adding new line')
st.write('Succcess')
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