import streamlit as st
from transformers import pipeline
from datetime import datetime
import pandas as pd
from pathlib import Path
import csv
import
from huggingface_hub import login
st.set_page_config(
page_title="Hochgeladene Dokumente",
layout="wide",
initial_sidebar_state="expanded",
)
login()
make_button_smaller = """
"""
st.markdown(make_button_smaller, unsafe_allow_html=True)
st.markdown("# Hochgeladene Dokumente")
st.sidebar.markdown("# Hochgeladene Dokumente")
field_names = ['Index', 'Titel', 'Hochladezeitpunkt']
FILES = []
def newIndex():
lastIndex = len(FILES)
newIndex = lastIndex + 1
return newIndex
def generate_files():
folder = './files'
files = os.listdir(folder)
for file in files:
file_path = Path(folder, file)
index = newIndex()
title = file
upload_time = os.path.getctime(Path(folder, file))
upload_time = datetime.fromtimestamp(upload_time).strftime("%d.%m.%Y - %H:%M:%S")
if os.path.isfile(file_path):
file_info = {
"Index": index,
"Titel": title,
"Hochladezeitpunkt": upload_time
}
FILES.append(file_info)
return FILES
def delete_entry(key):
folder = './files'
file = FILES[key]['Titel']
os.remove(Path(folder, file))
FILES.pop(key)
generate_files()
def display_table():
hide_table_row_index = """
"""
# Inject CSS with Markdown
st.markdown(hide_table_row_index, unsafe_allow_html=True)
# Display a static table
col1, col2 = st.columns([5, 1])
with col1:
table1 = pd.DataFrame.from_dict(generate_files())
st.table(table1.style.format(subset=['Titel']))
with col2:
key = 0
for entry in FILES:
# st.button('Löschen', on_click = delete_entry(key), key = key, use_container_width = True)
st.button('Löschen', key = key, use_container_width = True)
key = key + 1
display_table()