Update app.py

app.py

@@ -114,10 +114,9 @@ def main(prob1):
     obj = process_final_text(text)
     return obj[0],obj[1],obj[2],obj[3]
     
-title = "Welcome to **ResText** 🪐"
+title = "Welcome to **HopeHarbor**"
 description1 = """
-This app takes text (up to a few sentences) and predicts to what extent 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 Analyze. Or, simply click on one of the examples to see how it works. ✨   
-"""
+Leveraging a powerful large language model, this app evaluates your message for resilience and hope, enhancing your ability to inspire during challenging times. ✨"""
 
 with gr.Blocks(title=title) as demo:
     gr.Markdown(f"## {title}")