Update app.py

app.py

@@ -87,7 +87,7 @@ def get_rag_answer(query, top_results):
     # Build context from each top result using title, objectives, and description.
     context = "\n\n".join([build_context_for_result(res) for res in top_results])
     # Truncate context to 11500 tokens (approximation)
-    context = truncate_to_tokens(context, 11500)
+    context = truncate_to_tokens(context, 3700)
     # Improved prompt with role instruction and formatting instruction.
     prompt = (
         "You are a project portfolio adviser at the development cooperation GIZ. "
@@ -351,7 +351,7 @@ if show_exact_matches:
         top_results = filtered_lexical_no_dupe[:10]
         rag_answer = get_rag_answer(var, top_results)
         # Use the query as heading; increase size and center it.
-        st.markdown(f"<h2 style='text-align:center; font-size:2.5em;'>Query: {var}</h2>", unsafe_allow_html=True)
+        st.markdown(f"<h2 style='text-align:center; font-size:1.5em;'>{var}</h2>", unsafe_allow_html=True)
         st.write(rag_answer)
         st.divider()
         for res in top_results: