Update app.py

app.py

@@ -55,8 +55,15 @@ st.sidebar.write("This application uses the DistilBERT model, a distilled versio
 st.sidebar.write("The specific DistilBERT model used for this is Bhadresh Savani's [distilbert-base-uncased-emotion] (https://huggingface.co/bhadresh-savani/distilbert-base-uncased-emotion). It is fine-tuned on the Emotion Dataset from Twitter, which can be found [here](https://huggingface.co/datasets/viewer/?dataset=emotion).")
 
 st.sidebar.subheader("Disclaimer/Limitations")
-st.sidebar.write("The model only outputs sadness, joy, love, anger, fear, and surprise. With that said, it does not completely encompass the emotions that a human being feels. Despite that, this application only predicts your emotion from your input text based on the six aforementioned emotions.")
+st.sidebar.write("The model only outputs sadness, joy, love, anger, fear, and surprise. With that said, it does not completely encompass the emotions that a human being feels, and the application only suggests a playlist based on the aforementioned emotions.")
 
+st.sidebar.subheader("Performance Benchmarks")
+
+df = pd.DataFrame(
+    np.random.randn(10, 5),
+    columns=('col %d' % i for i in range(5)))
+
+st.sidebar.table(df)
 
 
 tester(emo)