typos

app.py

@@ -40,10 +40,10 @@ def predict (Sentence, Word, LLM, Norm, Layer):
     pred_list = pred.detach().numpy().tolist()
 
     df = pd.DataFrame({'feature':labels, 'value':pred_list})
-    df = df.sort_values('values', ascending=False)
-    df = df[df['values'] > 0]
+    df = df.sort_values('value', ascending=False)
+    df = df[df['value'] > 0]
     
-    output = [df['features'][i]+'\t\t\t\t\t\t\t'+str(df['values'][i]) for i in range(df.shape(0))]
+    output = [df['feature'][i]+'\t\t\t\t\t\t\t'+str(df['value'][i]) for i in range(df.shape(0))]
     return "All Positive Predicted Values:\n"+"\n".join(output)
 
 demo = gr.Interface(