Update app.py

app.py

@@ -102,7 +102,7 @@ def main(prob1):
     
 title = "Welcome to **ResText** 🪐"
 description1 = """
-Just add your text and hit Create & Analyze ✨   
+This app takes text (up to a few sentences) and predicts whether the text contains resilience messaging. Resilience messaging is a text message that is about being able to a) "adapt to change” and b) “bounce back after illness or hardship". The predictive model is a fine-tuned RoBERTa NLP model. Just add your text and hit Create & Analyze. Or, simply click on one of the examples to see how it works. ✨   
 """
 
 with gr.Blocks(title=title) as demo:
@@ -127,9 +127,7 @@ with gr.Blocks(title=title) as demo:
         [label,impplot,NER], api_name="ResText"
     )
 
-    
-    
     gr.Markdown("### Click on any of the examples below to see how it works:")
-    gr.Examples([["Please stay at home and avoid unnecessary trips."],["Please stay at home and avoid unnecessary trips. We will survive this."],["We will survive this."]], [prob1], [label,impplot,NER], main, cache_examples=True)
+    gr.Examples([["Please stay at home and avoid unnecessary trips."],["Please stay at home and avoid unnecessary trips. We will survive this."],["We will survive this."],["Watch today’s news briefing with the latest updates on COVID-19 in Connecticut."],["So let's keep doing what we know works. Let's stay strong, and let's beat this virus. I know we can, and I know we can come out stronger on the other side."]], [prob1], [label,impplot,NER], main, cache_examples=True)
     
 demo.launch()