Create app.py

app.py

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+import gradio as gr
+
+def audit_check(vendor_name, server_location, model_type):
+    # This is simple logic to simulate your "Audit"
+    risk_score = 0
+    logs = []
+
+    logs.append(f"🔍 Auditing {vendor_name}...")
+    
+    if server_location == "USA" or server_location == "Unknown":
+        risk_score += 50
+        logs.append("❌ CRITICAL: Data hosted in US Jurisdiction (Cloud Act Risk).")
+    else:
+        logs.append("✅ PASS: Data hosted in Safe Jurisdiction.")
+
+    if model_type == "Public LLM (ChatGPT/Claude)":
+        risk_score += 30
+        logs.append("⚠️ HIGH: Public Model detected. Zero-Retention Agreement required.")
+    else:
+        logs.append("✅ PASS: Private/Local Model detected.")
+
+    if risk_score > 40:
+        verdict = "🔴 NO-GO: High Compliance Risk"
+    elif risk_score > 20:
+        verdict = "🟡 CAUTION: Manual Review Needed"
+    else:
+        verdict = "🟢 GO: Low Risk / Approved"
+
+    return verdict, "\n".join(logs)
+
+# The Interface
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
+    gr.Markdown("# 🛡️ Toro Governance Lab: Vendor Risk Engine")
+    gr.Markdown("Instant preliminary risk assessment for Swiss/UK Banking Compliance (nFADP / EU AI Act).")
+    
+    with gr.Row():
+        v_name = gr.Textbox(label="Vendor Name")
+        loc = gr.Dropdown(["Switzerland", "EU (Germany/France)", "USA", "Unknown"], label="Server Location")
+        model = gr.Dropdown(["Private/Local Model", "Public LLM (ChatGPT/Claude)"], label="AI Model Type")
+    
+    btn = gr.Button("Run Audit")
+    
+    out_verdict = gr.Label(label="Audit Verdict")
+    out_logs = gr.Textbox(label="Audit Logs")
+
+    btn.click(audit_check, inputs=[v_name, loc, model], outputs=[out_verdict, out_logs])
+
+demo.launch()