Update ui_components.py

ui_components.py

@@ -5,7 +5,7 @@ UI components for the Streamlit application
 import streamlit as st
 from typing import Dict, List, Any, Optional
 from local_models import get_local_model_manager
-
+from streamlit.errors import StreamlitAPIException  # am Datei-Anfang (falls noch nicht da)
 
 # Available Hugging Face models for remote API
 AVAILABLE_MODELS = {
@@ -264,18 +264,23 @@ def _render_model_output(result: Dict[str, Any]):
 
 
 def _render_person_detection_result(detection: Dict[str, Any]):
-    """Render person on track detection specific results"""
-    people_count = detection.get('people_count', 0)
-    confidence = detection.get('confidence', 0)
+    """Render person on track detection specific results (robust ohne tiefe Column-Nesting)"""
+    people_count = int(detection.get('people_count', 0))
+    confidence = float(detection.get('confidence', 0.0))
     analysis = detection.get('analysis', 'No analysis')
-    
+
     st.write(f"**Detection Analysis:** {analysis}")
-    
-    # Show metrics
-    col1, col2 = st.columns(2)
-    with col1:
+
+    # Versuche 2-Spalten-Layout; wenn wir schon in einer Column sind (nested), fallback auf vertikal
+    try:
+        col1, col2 = st.columns(2)
+        with col1:
+            st.metric("👥 People Detected", people_count)
+        with col2:
+            st.metric("📊 Model Confidence", f"{confidence:.0%}")
+    except StreamlitAPIException:
+        # Fallback ohne zusätzliche Columns (vermeidet die Nesting-Exception)
         st.metric("👥 People Detected", people_count)
-    with col2:
         st.metric("📊 Model Confidence", f"{confidence:.0%}")