added model

app.py

@@ -1,5 +1,6 @@
 import streamlit as st
 import wna_googlenews as wna
+from transformers import pipeline
 
 
 st.title("WNA Google News App")
@@ -16,9 +17,13 @@ settings = {
   "period": days_range
 }
 
+classifier = pipeline(task="text-classification", model="SamLowe/roberta-base-go_emotions", top_k=None)
 
 
 if st.button("Search"):
   df = wna.get_news(settings, query)
   st.dataframe(df)
+  sentences = ["I am not having a great day"]
+  model_outputs = classifier(sentences)
+  st.write(model_outputs[0])