Update app.py

app.py

@@ -184,7 +184,7 @@ if st.button("Analysis") and input_option == "Teks Manual" and user_input:
         results.append((text, cleaned_text, norm_slang_text, sentiment_label, emoticon))
         analisis = True
 
-elif st.button("Analysis") and input_option == "Unggah Berkas XLSX" and uploaded_file is not None:
+elif input_option == "Unggah Berkas XLSX" and uploaded_file is not None:
     if 'Text' in df.columns:
         for text in texts:
             sentiment_label = predict_sentiment(text, sentiment_model, tfidf_vectorizer, lookp_dict)