Update app.py

app.py

@@ -41,7 +41,7 @@ def predict(outputs):
             top_cats.append(cat)
             top_probs.append(round(percent, 1))
             
-    chart_data = pd.DataFrame([top_probs], columns=top_cats)
+    chart_data = pd.DataFrame(top_probs, index=top_cats, columns=['percent'])
     st.area_chart(data=chart_data)
 
 tokenizer = RobertaTokenizer.from_pretrained("roberta-large-mnli")