Create csv_display.py

csv_display.py

@@ -0,0 +1,49 @@
+    inbound_df_path = 'inbound_issues_tempus_2_q2.csv'
+    display_cols = ['Biomarker Name Source', 'Biomarker Test Type', 'NLP Result','NLP Value', 'NLP Variant', 
+                    'Biomarker Test Result Value Numeric 1', 'Biomarker Test Result Value Unit 1', 
+                    'Biomarker Test Result Value Numeric 2', 'Biomarker Test Result Value Unit 2', 
+                    'Biomarker Test Threshold Value Numeric 1', 'Biomarker Test Threshold Value Unit1', 
+                    'Biomarker Test Threshold Value Numeric 2', 'Biomarker Test Threshold Value Unit2']
+    pif_list, auto_csv_path = path_setting(inbound_df_path)
+    
+    st.set_page_config(layout="wide")  # Set layout to wide
+
+    # Display DataFrame Panel
+    st.write("### Display DataFrame")
+    selected_document_index = st.select_slider("Select Document Index", options=range(len(pif_list)))
+    document_id = pif_list[selected_document_index]
+    page_number = st.number_input("Page Number", min_value=1, step=1, value=1)
+    df = load_dataframe(auto_csv_path, document_id, page_number, display_cols)
+    if df is not None:
+        columns_to_display = st.multiselect("Select Columns to Display", df.columns)
+        if len(columns_to_display) > 0:
+            st.write(df[columns_to_display])
+            
+            # Select comment from a predefined list
+            st.subheader("Comments and Suggestions")
+            comment_options = ['a', 'b', 'c', 'f', 'd', 'g']
+            selected_comment = st.selectbox("Select Comment", options=comment_options)
+            st.text_area("Comment", value=selected_comment, height=100)
+            
+            # Input area for suggestions
+            suggestions = st.text_area("Add your suggestions here")
+            
+            # Save comments and suggestions to CSV when submitted
+            if st.button("Submit"):
+                data = {
+                    "Document ID": [document_id],
+                    "Page": [page_number],
+                    "Comment": [selected_comment],
+                    "Suggestions": [suggestions]
+                }
+                comments_df = pd.DataFrame(data)
+                comments_csv = "comments.csv"
+                if os.path.exists(comments_csv):
+                    comments_df.to_csv(comments_csv, mode="a", header=False, index=False)
+                else:
+                    comments_df.to_csv(comments_csv, index=False)
+                
+        else:
+            st.write("No columns selected")
+    else:
+        st.write("DataFrame not found")