adjusted disaplaying

app.py

@@ -14,7 +14,18 @@ def normalize(text, lang_choice):
     try:
         lang = None if lang_choice == "Auto-detect" else lang_choice
         result = pipeline(text, lang=lang, diagnostics=True)
-        return f"Language: {result['language']}\n\nTokens:\n{result['tokens']}\n\nDetected stopwords:\n{result['stopwords_detected']}\n\nAnalyzer pipeline:\n{result['analyzer_pipeline']}"
+        
+        # Format analyzer pipeline for better readability
+        analyzer_steps = []
+        if 'analyzer_pipeline' in result and result['analyzer_pipeline']:
+            for i, step in enumerate(result['analyzer_pipeline'], 1):
+                step_type = step.get('type', 'unknown')
+                step_name = step.get('name', 'unnamed')
+                analyzer_steps.append(f"  {i}. {step_type}: {step_name}")
+        
+        analyzer_display = "\n".join(analyzer_steps) if analyzer_steps else "  No analyzer steps found"
+        
+        return f"🌍 Language: {result['language']}\n\n🔤 Tokens:\n{result['tokens']}\n\n🚫 Detected stopwords:\n{result['stopwords_detected']}\n\n⚙️ Analyzer pipeline:\n{analyzer_display}"
     except Exception as e:
         print("❌ Pipeline error:", e)
         return f"Error: {e}"