Update app.py

app.py

@@ -207,7 +207,12 @@ def check_password() -> bool:
 
 
 def main():
-        # Diagnose: Versionen anzeigen (hilft bei Abweichungen lokal vs. online)
+    """Main application entry point"""
+
+    # 1) Seite konfigurieren (muss der erste Streamlit-Call sein)
+    initialize_app()
+
+    # 2) Diagnostics anzeigen (Versionen)
     with st.expander("Diagnostics (Versionen)"):
         versions = {}
         try:
@@ -225,85 +230,59 @@ def main():
         try:
             import PIL; versions["pillow"] = PIL.__version__
         except Exception: versions["pillow"] = "n/a"
-
         st.write(versions)
 
-    """Main application entry point"""
-    # Initialize application
-    initialize_app()
+    # 3) Passwort prüfen
     if not check_password():
         st.stop()
-    # Load settings and setup models
+
+    # 4) Settings & Modelle
     settings = load_settings()
     local_manager, local_models_available = setup_local_models()
-    
-    # Create main layout
+
+    # 5) Layout & UI
     col1, col2 = st.columns([1, 1])
-    
     with col1:
-        # Render sidebar configuration
         config = render_sidebar_config(settings, local_models_available, local_manager)
-        
-        # Render input section
         input_data = render_input_section()
         video_file = input_data["video_file"]
-        
-        # Render prompt section
         prompt = render_prompt_section(config)
-        
-        # Render process button
         process_button = render_process_button()
-    
     with col2:
-        # Render results section
         results_container = render_results_header()
-    
-    # Main processing logic
+
+    # 6) Logik
     if process_button:
         if validate_inputs(video_file, prompt, config, local_models_available):
-            # Add prompt to config for processing
             config["prompt"] = prompt
-            
             with st.spinner("Processing video..."):
-                # Process video frames
                 results = process_video_frames(video_file, config, local_manager)
-                
-                # Display results
                 if results:
                     with results_container:
                         st.subheader("Analysis Results")
-                        
-                        # Display summary statistics
                         severity_counts = {}
-                        for result in results:
-                            severity = result['ontology_analysis'].get('severity', 'NONE')
-                            severity_counts[severity] = severity_counts.get(severity, 0) + 1
-                        
+                        for r in results:
+                            sev = r['ontology_analysis'].get('severity', 'NONE')
+                            severity_counts[sev] = severity_counts.get(sev, 0) + 1
                         if config["use_ontology"] and severity_counts:
                             st.write("**Summary:**")
-                            summary_cols = st.columns(len(severity_counts))
-                            for i, (severity, count) in enumerate(severity_counts.items()):
-                                icon_map = {
-                                    'NONE': '✅', 'LOW': '🟢', 'MEDIUM': '🟠', 
-                                    'HIGH': '⚠️', 'CRITICAL': '🚨'
-                                }
-                                with summary_cols[i]:
-                                    st.metric(f"{icon_map.get(severity, '❓')} {severity}", count)
+                            cols = st.columns(len(severity_counts))
+                            icon = {'NONE':'✅','LOW':'🟢','MEDIUM':'🟠','HIGH':'⚠️','CRITICAL':'🚨'}
+                            for i,(sev,cnt) in enumerate(severity_counts.items()):
+                                with cols[i]:
+                                    st.metric(f"{icon.get(sev,'❓')} {sev}", cnt)
                             st.divider()
-                        
-                        # Display individual frame results
-                        for result_data in results:
-                            render_frame_result(result_data)
+                        for rd in results:
+                            render_frame_result(rd)
         else:
-            # Show validation errors
             render_validation_errors(
-                video_file, prompt, config["api_token"], 
+                video_file, prompt, config["api_token"],
                 config["model_type"], local_models_available, config["selected_model"]
             )
-    
-    # Render instructions
+
     render_instructions()
 
 
+
 if __name__ == "__main__":
     main()