Update app.py

app.py

@@ -71,7 +71,7 @@ description = """<strong>Overview:</strong> The app demonstrates how to use a La
                  <ul style="list-style-type:square;">
                  <li>Set "Retrieval Augmented Generation" to "<strong>False</strong>" and submit prompt "what is gpt-4". The LLM <strong>without</strong> RAG does not know the answer.</li>
                  <li>Set "Retrieval Augmented Generation" to "<strong>True</strong>" and submit prompt "what is gpt-4". The LLM <strong>with</strong> RAG knows the answer.</li>
-                 <li>Experiment with different prompts, for example "what is gpt-4 in one sentence, translate to german", "sentiment analysis of gpt-4", or "generate a haiku about gpt-4".</li>
+                 <li>Experiment with different prompts, for example "what is gpt-4 in one sentence, translate to german", "concerns about gpt-4", or "generate three haikus about gpt-4".</li>
                  </ul>
                  In a production system, processing external data would be done in a batch process. An idea for a production system would be to perform LLM use cases on the 
                  <a href='https://www.youtube.com/playlist?list=PL2yQDdvlhXf_hIzmfHCdbcXj2hS52oP9r'>AWS re:Invent playlist</a>.\n\n