perhaps this will work

app.py

@@ -42,8 +42,9 @@ def predict (Sentence, Word, LLM, Norm, Layer):
     df = pd.DataFrame({'feature':labels, 'value':pred_list})
     df = df[df['value'] > 0]
     df_sorted = df.sort_values(by='value', ascending=False)
+    df_sorted = df_sorted.reset_index()
 
-    output = [df_sorted['feature'][i]+'\t\t\t\t\t\t\t'+str(df_sorted['value'][i]) for i in range(df_sorted.shape[0])]
+    output = [row['feature']+'\t\t\t\t\t\t\t'+str(row['value']) for _, row in df_sorted.iterrows()]
     print("All Positive Predicted Values:\n"+"\n".join(output))
 
 demo = gr.Interface(