update app.py

app.py

@@ -306,7 +306,7 @@ def process_aggregation(locations_df, start_date_str, end_date_str, dataset_id,
     if default_scale is None:
         collection = ee.ImageCollection(dataset_id)
         default_scale = collection.first().select(0).projection().nominalScale().getInfo()
-        st.write(f"Default Scale for Selected Dataset: {default_scale} meters")
+        
     aggregated_results = []
     total_steps = len(locations_df)
     progress_bar = st.progress(0)
@@ -709,6 +709,7 @@ if st.button(f"Calculate {custom_formula}"):
                 # Check if results were generated
                 if results:
                     result_df = pd.DataFrame(results)
+                    st.write(f"Default Scale for Selected Dataset: {default_scale} meters")
                     st.write(f"Processed Results Table ({aggregation_period}) for Formula: {custom_formula}")
                     st.dataframe(result_df)
                     # Generate a downloadable CSV file