1

pages/2_TECT_IDXYZ.py

@@ -1,5 +1,6 @@
 import os, re, sys, time, math, shutil, urllib, string, random, pickle, zipfile, datetime, platform
-import streamlit as st, pandas as pd, numpy as np
+import streamlit as st
+import pandas as pd, numpy as np
 import my_static_tools as mst
 from my_static_tools import HF_tools as hft
 from my_static_tools import XYZV_tools as xvt
@@ -31,7 +32,7 @@ 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/")}
 
-@st.cache_data
+
 def GetListOf_XYZV_ToTrainClassifier(repo):
     lstRepoZipFiles = ["TrainData_1504_AB_gaziev.zip","TestData_1504_AB_gaziev.zip","TestData3_2204_noAB_gaziev.zip"]
     dictTrainThreeDataframes = hft.load_dataframes_from_hf(repo, lstRepoZipFiles)