Update app.py

app.py

@@ -12,6 +12,9 @@ import matplotlib.pyplot as plt
 import seaborn as sns
 from wordcloud import WordCloud
 
+from transformers import pipeline
+
+
 # Fungsi untuk membersihkan teks dengan ekspresi reguler
 @st.cache_data
 def clean_text(text):
@@ -181,6 +184,11 @@ if st.button("Analysis") and input_option == "Teks Manual" and user_input:
         cleaned_text = clean_text(text)
         norm_slang_text = normalize_slang(cleaned_text, lookp_dict)
         results.append((text, cleaned_text, norm_slang_text, sentiment_label, emoticon))
+        pipe = pipeline('sentiment-analysis')
+        st.write ("Model Transformers :")
+        if text :
+            out = pipe(text)
+            st.json(out)
         analisis = True
 
 elif input_option == "Unggah Berkas XLSX" and uploaded_file is not None: