Shorten the default medical chatbot usecase

app.py

@@ -55,7 +55,7 @@ class UI:
                     info="Language model used to assess risks (This is not the model being assessed).",
                     interactive=True
                 )
-                examples = gr.Examples([["In a medical chatbot, generative AI can be employed to create a triage system that assesses patients' symptoms and provides immediate, contextually relevant advice based on their medical history and current condition. The chatbot can analyze the patient's input, identify potential medical issues, and offer tailored recommendations or insights to the patient or healthcare provider. This can help streamline the triage process, ensuring that patients receive the appropriate level of care and attention, and ultimately improving patient outcomes.", "ibm-risk-atlas"],
+                examples = gr.Examples([["A medical chatbot for a triage system that assesses patients' symptoms and provides immediate, contextually relevant advice based on their medical history and current condition. The chatbot uses generative AI to analyze the patient's input, identify potential medical issues, and offer tailored recommendations or insights to the patient or healthcare provider.", "ibm-risk-atlas"],
                                         ["Building a customer support agent that automatically triages common problems with services.", "ibm-risk-atlas"]],
                                        [self.usecase, self.taxonomy],
                                         label='Example use cases', example_labels=["Medical chatbot", "Customer service agent"]