model

app.py

@@ -1,4 +1,15 @@
 import streamlit as st
+from transformers import pipeline
 
-x = st.slider('Select a value')
-st.write(x, 'squared is', x * x)
+text = st.text_area('enter some text!')
+
+classifier = pipeline("text-classification", model="hun3359/klue-bert-base-sentiment")
+preds = classifier(text, top_k=None)
+
+sorted_preds = sorted(preds, key=lambda x: x['score'], reverse=True)
+
+for item in sorted_preds:
+    item['score'] = round(item['score'], 5)
+
+if text:
+    st.json(sorted_preds)