Update app.py

app.py

@@ -95,7 +95,7 @@ def main():
     uploaded_extintl_file_insight = st.file_uploader("Upload a External Reg Intel", type="pdf")
     uploaded_interintel_file_insight = st.file_uploader("Upload a Internal Reg Intel", type="pdf")
     if uploaded_extintl_file_insight is not None and uploaded_interintel_file_insight is not None:
-        uploaded_file_SOP = st.file_uploader("Upload an SOP file", type="pdf")
+        uploaded_file_SOP = st.file_uploader("Upload the draft submission file", type="pdf")
         if uploaded_file_SOP is not None:
             # Extract insight document
             with st.spinner("Processing External Reg Intel"):
@@ -113,11 +113,11 @@ def main():
             st.write(f"The PDF contains **{token_count_insight}** tokens.")
 
 
-            # Extract SOP document
-            with st.spinner("Processing the SOP Text..."):
+            # Extract draft submission document
+            with st.spinner("Processing the draft submission file Text..."):
                 text_SOP, page_texts_SOP = extract_text_from_pdf(uploaded_file_SOP)
                 token_count_SOP, _ = count_tokens_with_tiktoken(text_SOP)
-            st.sidebar.success("SOP file successfully processed")
+            st.sidebar.success("draft submission file successfully processed")
             st.write("Token Count")
             st.write(f"The PDF contains **{token_count_SOP}** tokens.")  
 
@@ -138,12 +138,12 @@ def main():
             st.write(df_ii_insight_chunks)
 
 
-            # Process SOP into chunks
-            with st.spinner("Processing the SOP Document..."):
+            # Process draft submission file into chunks
+            with st.spinner("Processing the draft submission file..."):
                 df_input_SOP = pd.DataFrame([{ "Title": uploaded_file_SOP.name, "Text": text_SOP, "PageTexts": page_texts_SOP }])
                 df_sop_chunks = split_dataframe_with_combined_text_and_pages(df_input_SOP, 10000, 1000)
-            st.write("Processed SOP")
-            st.sidebar.success("Processed SOP")
+            st.write("Processed draft submission file")
+            st.sidebar.success("Processed draft submission file")
             st.write(df_sop_chunks)
 
             # Evaluate Document
@@ -186,22 +186,22 @@ def main():
                 return
 
             # Comparing to Insights
-            with st.spinner("Comparing Impact Classified Insights To SOP"):
+            with st.spinner("Comparing Impact Classified Insights To draft submission file"):
                  df_compare = process_compare(filtered_insights_on_impact, df_sop_chunks, topic)
-            st.subheader("Comparison of Insights to SOP's")
-            st.sidebar.success("Comparison of External Intel to SOP's Complete")
+            st.subheader("Comparison of Insights to draft submission file's")
+            st.sidebar.success("Comparison of External & Internal Intel to draft submission file's Complete")
             st.write(df_compare)
             filtered_comparisons_df = df_compare[df_compare['ReviewNeeded'] == True]
             if filtered_comparisons_df.empty:
-                st.write("No reviews needed for this SOP")
-                st.sidebar.error("No reviews needed for this SOP")
+                st.write("No reviews needed for this draft submission file")
+                st.sidebar.error("No reviews needed for this draft submission file")
                 return
 
             # Risk scoring
-            with st.spinner("Risk Assessing Insights To SOP"):
+            with st.spinner("Risk Assessing Insights To draft submission file"):
                  df_risks = risk_score_process(filtered_comparisons_df, topic)
-            st.subheader("Risk Score of Insights to SOP's")
-            st.sidebar.success("Risk Score of Insights to SOP's Completed")
+            st.subheader("Risk Score of Insights to draft submission file's")
+            st.sidebar.success("Risk Score of Insights to draft submission file's Completed")
             st.write(df_risks)