pages/6_Chat.py

import os, re, sys, time, math, shutil, urllib, string, random, pickle, zipfile, datetime
import streamlit as st, pandas as pd, numpy as np
from faker import Faker

import my_static_tools as mst
from my_static_tools import HF_tools as hft
from my_static_tools import XYZV_tools as xvt

st.set_page_config(page_title="Чат страница недоделанная", page_icon="💬", layout="wide", initial_sidebar_state="expanded")

# https://docs.gspread.org/en/latest/user-guide.html#updating-cells
# https://docs.streamlit.io/develop/tutorials/databases/private-gsheet
# https://github.com/streamlit/gsheets-connection/blob/main/examples/pages/Service_Account_Example.py#L167
#from streamlit_gsheets import GSheetsConnection # st-gsheets-connection - конфликт с pandas 2.2.2

st.html(mst.STYLE_CORRECTION)
st.sidebar.markdown("# Переговоры 💬")

# Create a connection object.
#conn = st.connection("gsheets", type=GSheetsConnection)
#st.write(conn)
#st.help(conn)

REPO = mst.HfRepo("f64k/gaziev", "dataset", lambda: st.secrets["HF_WRITE"])
lstRepoFiles = hft.list_files_hf(REPO) # список уже имеющихся в репозитории файлов
dictTestFilesIdXyz = {f.upper().replace("ID_XYZ/",""): f.upper() for f in lstRepoFiles if f.upper().startswith("ID_XYZ/")}

_ = """
if st.button("Update worksheet"):
    dict_ONE_IDXYZ = my_stm.load_dataframes_from_hf(REPO, ["ID_XYZ/IDXYZ_5X7_BBB011116_DDD011112.CSV"])
    if len(dict_ONE_IDXYZ) > 0:
        df_idxyz = list(dict_ONE_IDXYZ.values())[0]
        dfUpdSheet = conn.update(worksheet="sh2", data=df_idxyz)
        st.write(dfUpdSheet)
"""

fake = Faker()
fakeRU = Faker("ru_RU")

messages = st.container() # height=300
if prompt := st.chat_input("Спрашивайте тут : "):
    messages.chat_message("user").write(prompt)
    answer = prompt[::-1]
    strEnFakeText = fake.paragraph(nb_sentences=4, variable_nb_sentences=False)
    strRuFakeText = fakeRU.paragraph(nb_sentences=4, variable_nb_sentences=False)
    answer = f"{datetime.datetime.now():%d.%m.%Y %H:%M:%S} \n {strEnFakeText} \n {strRuFakeText}"
    messages.chat_message("ai").write(f"{answer}") # assistant