Update app.py

app.py

@@ -205,12 +205,8 @@ with gr.Blocks(fill_width=True) as demo:
         gr.Markdown(
         """
         # T4.5 Relevance Classifier Demo 
-        This is a demo created to explore floods and wildfire classification in social media posts.\n
-        Usage:\n
-        1. Upload .tsv or .csv data file (must contain a text column with social media posts).\n
-        2. Next, type the name of the text column.\n
-        3. Then, choose a BERT classifier model from the drop down.\n
-        4. Finally, click the 'start prediction' buttton.\n
+        This is a demo created to explore floods and wildfire classification in social media posts.
+        Upload .tsv or .csv data file (must contain a text column with social media posts), next enter the name of the text column, choose classifier model, and click 'start prediction'.
         """)
         with gr.Group():
             with gr.Row(equal_height=True):