UI Gauge fixed

detector/ensemble.py

@@ -74,13 +74,13 @@ class EnsembleClassifier:
         
         Arguments:
         ----------
-            primary_method      : Primary aggregation method : "confidence_calibrated", "domain_adaptive", "consensus_based", "ml_ensemble"
+            primary_method       : Primary aggregation method : "confidence_calibrated", "domain_adaptive", "consensus_based", "ml_ensemble"
             
-            fallback_method     : Fallback method if primary fails : "domain_weighted", "confidence_weighted", "simple_average"
+            fallback_method      : Fallback method if primary fails : "domain_weighted", "confidence_weighted", "simple_average"
             
-            use_ml_ensemble     : Use RandomForest for final aggregation (requires training)
+            use_ml_ensemble      : Use RandomForest for final aggregation (requires training)
             
-            min_metrics_required: Minimum number of valid metrics required
+            min_metrics_required : Minimum number of valid metrics required
         """
         self.primary_method       = primary_method
         self.fallback_method      = fallback_method

ui/static/index.html

@@ -1891,23 +1891,30 @@ function generateAttributionReasoningHTML(reasoning) {
 
 // Helper function to create single-progress gauge section
 function createGaugeSection(aiProbability, humanProbability, mixedProbability, gaugeColor, gaugeDegree) {
+    // Ensure these are numbers
+    const ai = parseFloat(aiProbability);
+    const human = parseFloat(humanProbability);
+    const mixed = parseFloat(mixedProbability);
+    
     // Determine which probability is highest
     let maxValue, maxColor, maxLabel;
     
-    if (aiProbability >= humanProbability && aiProbability >= mixedProbability) {
-        maxValue = aiProbability;
+    if (ai >= human && ai >= mixed) {
+        maxValue = ai;
         maxColor = 'var(--danger)';
         maxLabel = 'AI Probability';
-    } else if (humanProbability >= aiProbability && humanProbability >= mixedProbability) {
-        maxValue = humanProbability;
+    } else if (human >= ai && human >= mixed) {
+        maxValue = human;
         maxColor = 'var(--success)';
         maxLabel = 'Human Probability';
     } else {
-        maxValue = mixedProbability;
+        maxValue = mixed;
         maxColor = 'var(--primary)';
         maxLabel = 'Mixed Probability';
     }
     
+    console.log('Selected:', { maxValue, maxLabel });
+    
     // Calculate the degree for the progress (maxValue% of 360 degrees)
     const progressDegree = (maxValue / 100) * 360;