Update app.py

app.py

@@ -25,11 +25,15 @@ def make_prediction(to_analyze):
 
 st.header("Sentiment analysis on twitter datasets")
 st.markdown("Here is a sentiment model further trained on a slice of a twitter dataset")
+# st.markdown("""
+# <img width=700px src='https://imagez.tmz.com/image/73/4by3/2020/10/05/735aaee2f6b9464ca220e62ef797dab0_md.jpg'> 
+# """, unsafe_allow_html=True)
 st.markdown("""
-<img width=700px src='https://imagez.tmz.com/image/73/4by3/2020/10/05/735aaee2f6b9464ca220e62ef797dab0_md.jpg'> 
-""", unsafe_allow_html=True)
+<img width=700px src='https://www.google.com/url?sa=i&url=https%3A%2F%2Fwww.thrillist.com%2Fnews%2Fnation%2Fwendys-is-brutally-roasting-people-on-twitter-right-now&psig=AOvVaw3GKmzTk1mg1D4zbajRUZdB&ust=1681809839298000&source=images&cd=vfe&ved=0CBEQjRxqFwoTCIiln4LMsP4CFQAAAAAdAAAAABAe
+'>""", unsafe_allow_html=True)
 
-text = st.text_area("Try typing something here! \n You will see how much better our model is compared to the base model! No kidding")
+
+text = st.markdown("Try typing something here! \n You will see how much better our model is compared to the base model! No kidding")
 # ^-- показать текстовое поле. В поле text лежит строка, которая находится там в данный момент
 
 ### Loading and tokenizing data