Update app.py

app.py

@@ -96,7 +96,7 @@ def run_deep_learning_cascade(dna_sequence):
     # --- LEVEL 2: LightGBM Structural Classification ---
     lgb_prediction = int(lightgbm_model.predict(vector)[0])
     structural_feature = FEATURE_DICT.get(lgb_prediction, "Unknown Region")
-    raw_scores["Predicted Structure"] = structural_feature
+    # raw_scores["Predicted Structure"] = structural_feature
 
     # THE CONTRADICTION RESOLVER
     # The fine-tuned LightGBM overrides any contradiction during class assignment
@@ -141,7 +141,7 @@ def run_deep_learning_cascade(dna_sequence):
             
             validation = "High Confidence Regulatory Element" if p_promoter >= 0.50 else "Weak Regulatory Signal"
             summary_dict["Validation"] = validation
-            raw_scores["DNABERT-2 Promoter Signal"] = p_promoter
+            raw_scores["Promoter Signal"] = p_promoter
 
     return summary_dict, confidence, raw_scores
 
@@ -230,25 +230,26 @@ def gradio_inference(dna_sequence, run_mapping):
     # Run AI Models (GPU)
     summary_dict, conf, raw_scores = run_deep_learning_cascade(dna_sequence)
 
-    # Build Custom HTML for Stats (No hyphens, larger font, bold values)
+    # Build Custom HTML for Stats 
     stats_html = """
     <div style="border: 1px solid #4b5563; border-radius: 8px; padding: 15px; margin-bottom: 15px;">
-        <h3 style="margin-top: 0; margin-bottom: 10px;">Internal Pipeline Statistics</h3>
+        <h3 style="margin-top: 0; margin-bottom: 10px;"> Internal Pipeline Statistics</h3>
         <div style="font-size: 1.15em; line-height: 1.8;">
     """
     for key, val in raw_scores.items():
         if isinstance(val, float):
-            stats_html += f"{key}: <b>{val:.2%}</b><br>"
+            # Added color: #10b981; to make all percentage scores GREEN
+            stats_html += f"{key}: <b style='color: #10b981;'>{val:.2%}</b><br>"
         else:
             stats_html += f"{key}: <b>{val}</b><br>"
     stats_html += "</div></div>"
 
-    # Build Custom HTML for Summary (Separated lines, bold values, Deep Scan Complete in title)
+    # Build Custom HTML for Summary 
     summary_html = f"""
-    <div style="border: 1px solid #4b5563; border-radius: 8px; padding: 15px; margin-bottom: 12px;">
-        <h3 style="margin-top: 0; margin-bottom: 10px;"> Classification Summary <span style="color: #10b981; font-size: 0.9em; font-weight: normal;">(Deep Scan Complete)</span></h3>
+    <div style="border: 1px solid #4b5563; border-radius: 8px; padding: 15px; margin-bottom: 15px;">
+        <h3 style="margin-top: 0; margin-bottom: 10px;"> Classification Summary <span style="color: #0d6efd; font-size: 0.85em; font-weight: normal;">(Deep Scan Complete)</span></h3>
         <div style="font-size: 1.15em; line-height: 1.8">
-            Final Classification: <b style="color: #0d6efd;">{summary_dict.get('Final Classification')}</b><br>
+            Final Classification: <b style="color: #10b981;">{summary_dict.get('Final Classification')}</b><br>
             Feature: <b>{summary_dict.get('Feature')}</b><br>
     """
     if "Phenotype" in summary_dict:
@@ -256,6 +257,7 @@ def gradio_inference(dna_sequence, run_mapping):
     if "Validation" in summary_dict:
         summary_html += f"Validation: <b>{summary_dict['Validation']}</b><br>"
     
+    # Confidence score remains green
     summary_html += f"Confidence Score: <b style='color: #10b981;'>{conf:.2%}</b></div></div>"
 
     if not run_mapping: