Update app.py

app.py

@@ -178,7 +178,8 @@ article_dict, clusters = initialize(LIMIT, USE_CACHE)
 # We call a display function and get the user input.  
 # For this its still streamlit.
 
-st.write(f"Welcome to TopigDig!  You'll see three drop downs containing entities recognized in current news headlines.  Select 1 to 3 topics and TopicDig will generate a digest consisting of summarizations of the articles related to the terms you select!  It's a good idea to hit the refresh topics button the first time you run.  This checks the current headlines and updates the lists.  Named entity recognition and summarization are done using transformers from the HuggingFace model hub.")
+st.write(f"Welcome to TopigDig!")
+st.write(f"Select 1 to 3 topics and TopicDig will generate a digest by summarizing the whole articles whose headlines contain the selected terms!  It's a good idea to hit the refresh topics button the first time you run.  This checks the current headlines and updates the lists.  Named entity recognition and auomatic summarization are done using transformers from the HuggingFace model hub.")
 
 # button to refresh topics
 if st.button("Refresh topics!"):