Update app.py

app.py

@@ -108,7 +108,7 @@ def main():
             with st.spinner("Processing Internal Reg Intel"):
                 int_intl_text_insight, int_intl_page_texts_insight = extract_text_from_pdf(uploaded_interintel_file_insight)
                 token_count_insight, _ = count_tokens_with_tiktoken(int_intl_text_insight)
-            st.sidebar.success("External Reg Intel file successfully processed")
+            st.sidebar.success("Internal Reg Intel file successfully processed")
             st.write("Token Count")
             st.write(f"The PDF contains **{token_count_insight}** tokens.")
 
@@ -133,8 +133,8 @@ def main():
             with st.spinner("Processing the Insight Document..."):
                 df_ii_input_insight = pd.DataFrame([{ "Title": uploaded_interintel_file_insight.name, "Text": int_intl_text_insight, "PageTexts": int_intl_page_texts_insight }])
                 df_ii_insight_chunks = split_dataframe_with_combined_text_and_pages(df_ii_input_insight, 10000, 1000)
-            st.write("Processed External Reg Intel")
-            st.sidebar.success("Processed External Reg Intel")
+            st.write("Processed Internal Reg Intel")
+            st.sidebar.success("Processed Internal Reg Intel")
             st.write(df_ii_insight_chunks)
 
 
@@ -155,7 +155,7 @@ def main():
                 ii_score["source"]="internal intel"
                 df_ii_eval["source"]="internal intel"
                 score = pd.concat([ei_score, ii_score])
-            st.write("External Inteligence Evaluation")
+            st.write("External & Internal Inteligence Evaluation")
             st.sidebar.success(f"Evaluation Concensus: {ei_con}")
             st.write(f"Evaluation Concensus: {ei_con}")
             st.write("Evaluation Scores:")
@@ -173,8 +173,8 @@ def main():
                  df_ei_insights["source"]="external intel"
                  df_ii_insights["source"]="internal intel"
                  df_insights = pd.concat([df_ei_insights, df_ii_insights])
-            st.subheader("External Inteligence Insights")
-            st.sidebar.success("External Inteligence Insights Created")
+            st.subheader("External & Internal Inteligence Insights")
+            st.sidebar.success("External & Internal Inteligence Insights Created")
             
             st.write(df_insights)
             filtered_insights_on_impact = df_insights[df_insights['classification'] == 'impact']