Update onhold.py

onhold.py

@@ -1,39 +1,34 @@
 def onhold():
-    st.write("### Inpute Paths")
+    st.write("### Input Paths")
     PhaseData_path = st.text_input("Enter PhaseData Path:")
     Inbound_CSV_path = st.text_input("Enter Inbound_CSV Path:")
+    
+    if not PhaseData_path or not Inbound_CSV_path:
+        st.warning("Please enter both PhaseData Path and Inbound_CSV Path.")
+        return
+    
     inbound_df_path = 'inbound_issues_tempus_2_q2_new.csv'
     pif_list, image_path, auto_csv_path = path_setting(PhaseData_path, Inbound_CSV_path)
-#     st.set_page_config(layout="wide")  # Set layout to wide
 
-    # Slider to adjust the width of the columns
     col1_width = st.sidebar.slider("Width of First Column", 0.1, 10.0, 2.0, 0.1)
     col2_width = st.sidebar.slider("Width of Second Column", 0.1, 10.0, 6.5, 0.1)
     col3_width = st.sidebar.slider("Width of Third Column", 0.1, 10.0, 5.0, 0.1)
 
-    # Divide the screen into three vertical panels with specified widths
     col1, col2, col3 = st.columns([col1_width, col2_width, col3_width])
 
-    # Document Selection Panel
     with col1:
         st.write("### Document Selection")
         global doc_index
         doc_index = st.number_input("Select Document Index", min_value=1, max_value=len(pif_list)+1, step=1, value=1)
-#         doc_index = st.select_slider("Select Document ID", options=range(len(pif_list)))
         document_id = pif_list[doc_index-1]
         st.write("Current Document ID: ", document_id)
-#         document_id = st.selectbox("Select Document ID", options=pif_list)
         pages = [int(i.split('-')[-1].split('.')[0]) for i in glob(f"{image_path}{document_id}*.png")]
         page_number = st.number_input("Page Number", min_value=1, max_value=len(pages), step=1, value=1)
         df_tmp = pd.read_csv(glob(f"{auto_csv_path}*{document_id}*auto.csv")[0])
         reason_for_onhold = st.text_area("Reason for On-hold: ", value="Add a reason for onhold column into inbound CSV")
         add_comment = st.text_area("Total Number of BMs: ", value=df_tmp.shape[0])
 
-    # Display Image Panel
     with col2:
-#         st.write("### Inpute Paths")
-#         PhaseData_path = st.text_input("Enter PhaseData Path:")
-#         Inbound_CSV_path = st.text_input("Enter Inbound_CSV Path:")
         st.write("### Display Image")
         im_path = load_image(image_path, document_id, page_number)
         if im_path:
@@ -41,7 +36,6 @@ def onhold():
         else:
             st.write("Image not found")
 
-    # Display DataFrame Panel
     with col3:
         st.write("### Display DataFrame")
         df = load_dataframe(auto_csv_path, document_id, page_number)
@@ -49,18 +43,13 @@ def onhold():
             columns_to_display = st.multiselect("Select Columns to Display", df.columns)
             if len(columns_to_display) > 0:
                 st.write(df[columns_to_display])
-                
-                # Input area for comments and suggestions
                 st.subheader("Add Comments on NLP Output")
                 reco_list = ['Regular NLP working', 'Wrong Report type', 'Report not Found',
                              'Dev work required', 'NLP not supported (non 5 labs)', 
                              'Limited Regular NLP Support and Manual NLP (ROI) is working', 
                              'Poor quality report- NLP not supported']
-#                 comment = st.text_area("Add your comment here")
                 comment = st.selectbox("Select Comment", options=reco_list)
                 add_comment = st.text_area("Add your additional comment here")
-                
-                # Save comments and suggestions to CSV when submitted
                 if st.button("Submit"):
                     global comments_df
                     data = {