Update app.py

app.py

@@ -24,6 +24,7 @@ review = st.text_area("", height=150)
 inputs = tokenizer.encode(review, return_tensors="pt").to("cpu") # moving to mps for Mac (can alternatively do 'cpu')
 logits = model(inputs).logits
 predictions = torch.max(logits,1).indices
-with st.chat_message("assistant"):
-    response = "The Following Text " + f'"{review}" is ' + id2label[predictions.tolist()[0]]
-    st.markdown(response)
+if st.button("Calculate Sentiment"):
+    with st.chat_message("assistant"):
+        response = "The Following Text " + f'"{review}" is ' + id2label[predictions.tolist()[0]]
+        st.markdown(response)