add features

app.py

@@ -1,4 +1,8 @@
 import streamlit as st
+from transformers import pipeline
+import pandas as pd
 
-x = st.slider('Select a value')
-st.write(x, 'squared is', x * x)
+model_list = ["distilbert-base-uncased-finetuned-sst-2-english", "cardiffnlp/twitter-roberta-base-sentiment", "finiteautomata/bertweet-base-sentiment-analysis"]
+sentiment_pipeline = st.selectbox('Which model to predict?', model_list)
+text = st.text_input("text for sentiment analysis", value="I love you")
+st.write(sentiment_pipeline(text))

requirement.txt

@@ -2,3 +2,4 @@ streamlit
 opencv-python-headless
 numpy
 transformers
+pandas