1

pages/6_Chat.py

@@ -2,25 +2,28 @@ import os, re, sys, time, math, shutil, urllib, string, random, pickle, zipfile,
 import streamlit as st, pandas as pd, numpy as np
 import my_static_methods as my_stm
 from faker import Faker
-from streamlit_gsheets import GSheetsConnection
+#from streamlit_gsheets import GSheetsConnection # st-gsheets-connection - конфликт с pandas 2.2.2
 
 st.html(my_stm.STYLE_CORRECTION)
 st.sidebar.markdown("# Переговоры 💬")
 
 # Create a connection object.
-conn = st.connection("gsheets", type=GSheetsConnection)
-st.write(conn)
+#conn = st.connection("gsheets", type=GSheetsConnection)
+#st.write(conn)
 #st.help(conn)
+
 REPO = my_stm.HfRepo("f64k/gaziev", "dataset", st.secrets["HF_WRITE"])
 lstRepoFiles = my_stm.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")

requirements.txt

@@ -1,9 +1,8 @@
 streamlit
-st-gsheets-connection
 huggingface_hub
 scikit-learn
 plotly
-pandas==2.2.2
+pandas
 numpy
 faker
 psutil