added analyzer pipeline

app.py

@@ -14,7 +14,7 @@ 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']}"
+        return f"Language: {result['language']}\n\nTokens:\n{result['tokens']}\n\nDetected stopwords:\n{result['stopwords_detected']}\n\nAnalyzer pipeline:\n{result['analyzer_pipeline']}"
     except Exception as e:
         print("❌ Pipeline error:", e)
         return f"Error: {e}"