quick attempt to fix user uploads

app.py

@@ -80,6 +80,33 @@ t_stamp = f"Last Update: " + str(timestamp) + f" CST"
 
 tab1, tab2 = st.tabs(['Pivot Finder', 'Uploads and Info'])
 
+with tab2:
+    st.info("The Projections file can have any columns in any order, but must contain columns explicitly named: 'Player', 'Salary', 'Position', 'Team', 'Minutes', 'Median', 'Own'.")
+    col1, col2 = st.columns([1, 5])
+
+    with col1:
+        proj_file = st.file_uploader("Upload Projections File", key = 'proj_uploader')
+    
+        if proj_file is not None:
+                  try:
+                            proj_dataframe = pd.read_csv(proj_file)
+                            try:
+                                proj_dataframe = proj_dataframe.replace(',','', regex=True)
+                                proj_dataframe['Salary'] = proj_dataframe['Salary'].astype(int)
+                            except:
+                                pass
+                  except:
+                            proj_dataframe = pd.read_excel(proj_file)
+                            try:
+                                proj_dataframe = proj_dataframe.replace(',','', regex=True)
+                                proj_dataframe['Salary'] = proj_dataframe['Salary'].astype(int)
+                            except:
+                                pass
+    with col2:
+        if proj_file is not None:  
+                  st.dataframe(proj_dataframe.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)
+        
+
 with tab1:
     col1, col2 = st.columns([1, 9])
     with col1:
@@ -337,31 +364,4 @@ with tab1:
                     mime='text/csv',
                 )
             else:
-                st.write("Run some pivots my dude/dudette")
-
-with tab2:
-    st.info("The Projections file can have any columns in any order, but must contain columns explicitly named: 'Player', 'Salary', 'Position', 'Team', 'Minutes', 'Median', 'Own'.")
-    col1, col2 = st.columns([1, 5])
-
-    with col1:
-        proj_file = st.file_uploader("Upload Projections File", key = 'proj_uploader')
-    
-        if proj_file is not None:
-                  try:
-                            proj_dataframe = pd.read_csv(proj_file)
-                            try:
-                                proj_dataframe = proj_dataframe.replace(',','', regex=True)
-                                proj_dataframe['Salary'] = proj_dataframe['Salary'].astype(int)
-                            except:
-                                pass
-                  except:
-                            proj_dataframe = pd.read_excel(proj_file)
-                            try:
-                                proj_dataframe = proj_dataframe.replace(',','', regex=True)
-                                proj_dataframe['Salary'] = proj_dataframe['Salary'].astype(int)
-                            except:
-                                pass
-    with col2:
-        if proj_file is not None:  
-                  st.dataframe(proj_dataframe.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)
-        
+                st.write("Run some pivots my dude/dudette")