version 2

app.py

@@ -2,10 +2,12 @@ import streamlit as st
 from transformers import pipeline
 import pandas as pd
 
+# load data
 model_list = ["distilbert-base-uncased-finetuned-sst-2-english", "cardiffnlp/twitter-roberta-base-sentiment", "finiteautomata/bertweet-base-sentiment-analysis"]
 model_name = st.selectbox('Which model to predict?', model_list)
 text = st.text_input("text for sentiment analysis", value="I love you")
 
+# run to get result
 if st.button('Run'):
     sentiment_pipeline = pipeline(model=model_name)
     result = sentiment_pipeline(text)