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()