Update app.py

app.py

@@ -39,10 +39,10 @@ def predict(outputs):
             percent = prob * 100
             top += percent
             top_cats.append(cat)
-            top_probs.append(prob)
+            top_probs.append(round(percent, 1))
             
     chart_data = pd.DataFrame([top_probs], columns=top_cats)
-    st.bar_chart(chart_data)
+    st.area_chart(data=chart_data)
 
 tokenizer = RobertaTokenizer.from_pretrained("roberta-large-mnli")
 model = init_model()