Update app.py

app.py

@@ -121,12 +121,16 @@ if not filtered_df.empty:
         for _, row in conta_df.iterrows():
             # Split the 'Forecasts' column's multiline string into lines
             lines = row['Forecasts'].split('\n')
-            # For each line, extract the numeric value and add it to the conta_sum
-            for line in lines:
+            # For each line, except the last summary line, extract the numeric value and add it to the conta_sum
+            for line in lines[:-1]:  # Skip the last line, which contains the summary
                 if line.strip():  # Ensure the line is not empty
                     parts = line.split()
                     value = parts[-1]  # Take the last element as the value
-                    conta_sum += float(value)
+                    try:
+                        conta_sum += float(value)
+                    except ValueError:
+                        # Handle unexpected lines that cannot be converted to float
+                        print(f"Skipping line unable to convert to float: {line}")
 
         # Format the sum as a monetary value
         monetary_value = f'R$ {conta_sum:,.2f}'