Update app.py

app.py

@@ -87,12 +87,12 @@ def run_deep_learning_cascade(dna_sequence):
     p_coding = clf_coding.predict_proba(vector)[0][1]
     is_coding = p_coding >= 0.60
     
-    raw_scores = {"Gatekeeper (Gene Likelihood)": p_coding}
+    raw_scores = {" Protein-Coding Probability": p_coding}
 
     # --- 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
 
     # --- LEVEL 3: The Deep Learning Branching Logic ---
     final_label = f"{'GENE' if is_coding else 'NON-CODING'} | Feature: {structural_feature}"
@@ -125,7 +125,7 @@ def run_deep_learning_cascade(dna_sequence):
             
             validation = "High Confidence Regulatory Element" if p_promoter >= 0.50 else "Weak Regulatory Signal"
             final_label += f" | Validation: {validation}"
-            raw_scores["DNABERT-2 Promoter Signal"] = p_promoter
+            raw_scores[" Promoter Signal"] = p_promoter
 
     return final_label, confidence, raw_scores
 
@@ -207,21 +207,21 @@ def gradio_inference(dna_sequence, run_mapping):
             context_output = f"❌ Mapping failed: {context['error']}"
         elif "location" in context:
             context_lines = [
-                f"🎯 **Location:** {context['location']}",
-                f"🧬 **Strand:** {context['strand']}",
-                f"🧭 **Coordinates:** {context['start']:,} – {context['end']:,}",
-                f"🔬 **Notes:** {context['metadata']}"
+                f" Location: {context['location']}",
+                f" Strand:   {context['strand']}",
+                f" Coordinates: {context['start']:,} – {context['end']:,}",
+                f" Notes:       {context['metadata']}"
             ]
             context_output = "\n".join(context_lines)
         else:
             context_output = "⚠️ Could not map sequence."
     else:
-        context_output = "🗺️ Spatial mapping skipped (disable checkbox to run)."
+        context_output = "🗺️ Spatial mapping skipped (Enable checkbox to query NCBI)."
 
     summary = (
         f"✅ Deep Scan Complete\n\n"
-        f"🎯 **Final Classification:** {label}\n"
-        f"📊 **Base Confidence:** {conf:.2%}"
+        f"   Final Classification: {label}\n\n"
+        f"   Confidence Score: {conf:.2%}"
     )
 
     return summary, "\n".join(stats_lines), context_output, ""
@@ -261,8 +261,8 @@ with gr.Blocks(theme=gr.themes.Soft(), title="🧬 The Genomic Oracle 🧬") as
             submit_btn = gr.Button("🚀 Initialize Deep Scan", variant="primary")
 
         with gr.Column(scale=2):
-            output_summary = gr.Textbox(label="✅ Classification Summary", lines=4)
-            stats_panel = gr.Textbox(label="📊 Internal Pipeline Statistics", lines=4)
+            output_summary = gr.Textbox(label="Classification Summary", lines=4)
+            stats_panel = gr.Textbox(label="Internal Pipeline Statistics", lines=4)
             mapping_section = gr.Accordion("🌐 Genomic Context (BLAST/Ensembl)", open=False)
             with mapping_section:
                 context_output = gr.Textbox(label="Mapping Results", lines=5, placeholder="Results will appear here...")