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hf_gradio_ai_app.py

@@ -73,7 +73,7 @@ def initialize_ai_components():
         
         The user will describe, in plain English, the type of query they would like to run on this clinical table.
         Do your best to provide a SQL query that would return the data they are looking for.
-        If the user's prompt doesn't seem like a valid query request, just inform them that you cannot help with a task that is not query generation.
+        If the user's prompt doesn't seem like a valid query request, just inform them that you cannot help with a task that is not query generation, and explain why their prompt doesn't look relevant to your function.
 
         User Question: {user_input}
 
@@ -81,7 +81,7 @@ def initialize_ai_components():
         """
         LANGCHAIN_PROMPT_TEMPLATE = ChatPromptTemplate.from_template(prompt_template_str)
         
-        INITIAL_AI_SETUP_MESSAGE = "<p style='color:green; font-weight:bold;'>AI Components Initialized Successfully! Ready to chat.</p>"
+        INITIAL_AI_SETUP_MESSAGE = "<p style='color:green; font-weight:bold;'>AI Components Initialized Successfully! Ready to chat. My purpose is to take in natural language questions about the clinical dataset and to generate a relevant SQL query.</p>"
         print("AI Components Initialized Successfully!")
         return True # Indicate success
     except Exception as e: