Update app.py

app.py

@@ -70,7 +70,7 @@ def call_ai_model(usage, idle, freq, cost, last):
         utilization_ratio = usage / total if total > 0 else 0.0
         utilization_percent = utilization_ratio * 100
 
-        # AI Suggestion thresholds based on utilization percent
+        # Determine suggestion
         if utilization_percent < 30:
             sug = "Pause Rent"
         elif utilization_percent < 60:
@@ -80,19 +80,17 @@ def call_ai_model(usage, idle, freq, cost, last):
         else:
             sug = "Replace"
 
-        # Confidence calculation  
-        base_conf = utilization_ratio  
-        # Penalize confidence proportionally if idle > usage
+        base_conf = utilization_ratio
         if idle > usage:
             diff_ratio = (idle - usage) / total
             base_conf -= diff_ratio * 0.5
-        # Boost confidence by movement frequency (normalized 0-1)
+
         freq_factor = min(freq / 10.0, 1.0)
         base_conf *= (0.7 + 0.3 * freq_factor)
-        # Clamp confidence between 0.05 and 1.0
         confidence = max(0.05, min(base_conf, 1.0))
 
-        return sug, confidence, utilization_percent
+        # Round before return
+        return sug, round(confidence, 2), round(utilization_percent, 2)
 
     except Exception as e:
         logger.error(f"Error in call_ai_model: {e}")