update files

src/pages/3-prediction.py

@@ -366,6 +366,7 @@ if not pred_data.empty:# Load the model with joblib
 
             @st.cache_data(show_spinner =False)
             def tempdir(change):
+                from tempfile import TemporaryDirectory
                 with  TemporaryDirectory( prefix="results", dir="./report") as temp_dir:# create a temp directory
                     tempdirname = os.path.split(temp_dir)[1]
                     if len(os.listdir('./report/out/figures/'))==3:
@@ -381,7 +382,7 @@ if not pred_data.empty:# Load the model with joblib
                 st.download_button(label = 'Download', data = zip_data, file_name = f'Nirs_Workflow_{date_time}_Pred_.zip', mime ="application/zip",
                             args = None, kwargs = None,type = "primary",use_container_width = True)
             except:
-                st.write('rtt')
+                st.write('-')
         # except:
         #     c2.error('''Error: Data loading failed. Please check your file. Consider fine-tuning the dialect settings or ensure the file isn't corrupted.''')
 
@@ -389,4 +390,4 @@ if not pred_data.empty:# Load the model with joblib
 else:
     with c2:
         if new_data:
-            st.error("Error!:The The data you provided for making predictions doesn't appear to be multivariable.!")
+            st.error("Error!:The The data you provided for making predictions doesn't appear to be multivariable.!")
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