diff --git a/src/pages/2-model_creation.py b/src/pages/2-model_creation.py
index 866dfe91d011193c84472050b3bb56c7daf4136e..626008c5bfa9c07c5d1a2d444d54869a8cb0ed18 100644
--- a/src/pages/2-model_creation.py
+++ b/src/pages/2-model_creation.py
@@ -60,8 +60,10 @@ if file == files_format[0]:
         
     ycal_csv = M00.file_uploader("Select corresponding Chemical Data", type="csv", help=" :mushroom: select a csv matrix with samples as rows and chemical values as a column")
     if ycal_csv:
-        sepy = M00.radio("separator (Y file): ", options=[";", ","], key=2)
-        hdry = M00.radio("samples name (Y file)?: ", options=["no", "yes"], key=3)
+        sepy = M00.radio("Select separator (Y file) - _detected_: " + str(find_delimiter('data/'+ycal_csv.name)),
+                         options=[";", ","], index=[";", ","].index(str(find_delimiter('data/'+ycal_csv.name))), key=2)
+        hdry = M00.radio("samples name (Y file)? - _detected_: " + str(find_col_index('data/'+ycal_csv.name)),
+                         options=["no", "yes"], index=["no", "yes"].index(str(find_col_index('data/'+ycal_csv.name))), key=3)
         if hdry == "yes": col = 0
         else: col = False
     else:
@@ -71,15 +73,14 @@ if file == files_format[0]:
         file_name = str(xcal_csv.name) +' and '+ str(ycal_csv.name)
         xfile = pd.read_csv(xcal_csv, decimal='.', sep=sepx, index_col=col, header=0)
         yfile =  pd.read_csv(ycal_csv, decimal='.', sep=sepy, index_col=col)
-        
         if yfile.shape[1]>0 and xfile.shape[1]>0 :
             spectra, meta_data = col_cat(xfile)
-            y, idx = col_cat(yfile)
-            if y.shape[1]>1:
-                yname = M00.selectbox('Select target', options=y.columns)
-                y = y.loc[:,yname]
+            chem_data, idx = col_cat(yfile)
+            if chem_data.shape[1]>1:
+                yname = M00.selectbox('Select target', options=chem_data.columns)
+                y = chem_data.loc[:,yname]
             else:
-                y = y.iloc[:,0]
+                y = chem_data.iloc[:,0]
             
 
             spectra = pd.DataFrame(spectra).astype(float)