append %

app.py

@@ -505,9 +505,19 @@ async def llm_analyse(payload: LLMAnalysePayload):
         # Convert to DataFrame
         df = pd.DataFrame(transactions)
 
-        # Convert fraud_score to string with % appended (no scaling)
+        # Convert fraud_score to percentage string
         if 'fraud_score' in df.columns:
-            df['fraud_score'] = df['fraud_score'].apply(lambda x: f"{x}%")
+            def format_score(x):
+                try:
+                    val = float(x) * 100  # multiply by 100
+                    if val >= 99:
+                        return "99%"
+                    else:
+                        return f"{round(val, 2)}%"
+                except:
+                    return f"{x}%"  # fallback in case of unexpected value
+
+            df['fraud_score'] = df['fraud_score'].apply(format_score)
 
         # Convert DataFrame to CSV string
         csv_string = df.to_csv(index=False)