feat: Omission Oracle UI - Live model trust scanner with Shadow Score

app.py

@@ -887,9 +887,103 @@ JS = r"""
 capsules = _list_capsules()
 default_cep = capsules[0] if capsules else "CEP-2511-K4I7X2"
 
+# =============================================================================
+# ORACLE UI - Model Trust Analysis
+# =============================================================================
+
+ORACLE_CSS = """
+.oracle-section {
+    margin-top: 24px;
+    padding: 20px;
+    background: linear-gradient(180deg, #0a0c14, #05060a);
+    border: 1px solid rgba(139, 92, 246, 0.3);
+    border-radius: 16px;
+}
+.oracle-title {
+    color: #a78bfa !important;
+    font-size: 18px;
+    font-weight: 700;
+    margin-bottom: 16px;
+    letter-spacing: 0.1em;
+}
+.oracle-result {
+    padding: 16px;
+    background: rgba(0,0,0,0.4);
+    border-radius: 12px;
+    font-family: 'JetBrains Mono', monospace;
+}
+.score-gold { color: #F59E0B !important; }
+.score-silver { color: #94A3B8 !important; }
+.score-bronze { color: #D97706 !important; }
+.score-red { color: #EF4444 !important; }
+"""
+
+def analyze_hf_model(model_id: str) -> str:
+    """Analyze a HuggingFace model with the Omission Oracle."""
+    model_id = (model_id or "").strip()
+    if not model_id:
+        return "Enter a model ID (e.g., meta-llama/Llama-3-8B)"
+    
+    try:
+        api = HfApi()
+        info = api.model_info(model_id, securityStatus=False)
+        
+        model_data = {
+            "id": info.id,
+            "author": info.author or "",
+            "tags": info.tags or [],
+            "license": info.card_data.get("license") if info.card_data else None,
+            "cardData": info.card_data or {},
+            "downloads": info.downloads or 0,
+            "likes": info.likes or 0,
+        }
+        
+        result = analyze_model_shadow_score(model_data)
+        
+        # Format output
+        badge_emoji = {"GOLD": "🟢", "SILVER": "🟡", "BRONZE": "🟠", "UNVERIFIED": "🔴"}
+        emoji = badge_emoji.get(result["badge"], "⚪")
+        
+        violations_str = ""
+        if result["violations"]:
+            for v in result["violations"]:
+                violations_str += f"\n  • {v['id']}: {v['reason']}"
+        else:
+            violations_str = "\n  ✓ No violations detected"
+        
+        output = f"""╔══════════════════════════════════════════════════════════════╗
+║  CROVIA OMISSION ORACLE v{ENGINE_VERSION}                              ║
+╚══════════════════════════════════════════════════════════════╝
+
+MODEL: {result['model_id']}
+AUTHOR: {result['author']}
+
+┌─────────────────────────────────────┐
+│  SHADOW SCORE: {result['shadow_score']:3d}/100  {emoji} {result['badge']:12s}│
+│  SEVERITY: {result['severity']:10s}                  │
+└─────────────────────────────────────┘
+
+DECLARATIONS:
+  License: {result['license']}
+  
+VIOLATIONS ({result['violation_count']}): {violations_str}
+
+ANALYSIS: {result['analyzed_at'][:19]}Z
+EVIDENCE: {hashlib.sha256(model_id.encode()).hexdigest()[:16]}
+
+─────────────────────────────────────
+Powered by Crovia Omission Oracle
+https://huggingface.co/datasets/Crovia/global-ai-training-omissions
+"""
+        return output
+        
+    except Exception as e:
+        return f"Error analyzing model: {type(e).__name__}: {e}"
+
+
 with gr.Blocks(
-    title="CROVIA · CEP Terminal",
-    css=CSS,
+    title="CROVIA · CEP Terminal v2.0",
+    css=CSS + ORACLE_CSS,
     js=JS
 ) as demo:
 
@@ -910,6 +1004,36 @@ with gr.Blocks(
     # When cep_in changes -> compute payload
     cep_in.change(_run, inputs=cep_in, outputs=payload)
     demo.load(_run, inputs=cep_in, outputs=payload)
+    
+    # ==========================================================================
+    # OMISSION ORACLE SECTION
+    # ==========================================================================
+    
+    gr.HTML("""
+    <div class="oracle-section">
+        <div class="oracle-title">🔮 OMISSION ORACLE — Model Trust Scanner</div>
+        <p style="color:#a1a1aa;font-size:13px;margin-bottom:12px;">
+            Analyze any HuggingFace model for trust declaration gaps (NEC#1, NEC#2, NEC#7, NEC#13)
+        </p>
+    </div>
+    """)
+    
+    with gr.Row():
+        model_input = gr.Textbox(
+            label="Model ID",
+            placeholder="meta-llama/Llama-3-8B",
+            scale=3
+        )
+        analyze_btn = gr.Button("🔍 Analyze", variant="primary", scale=1)
+    
+    oracle_output = gr.Code(
+        label="Oracle Analysis",
+        language=None,
+        lines=25
+    )
+    
+    analyze_btn.click(analyze_hf_model, inputs=model_input, outputs=oracle_output)
+    model_input.submit(analyze_hf_model, inputs=model_input, outputs=oracle_output)
 
 demo.launch()