Update app.py

app.py

@@ -59,7 +59,6 @@ def get_groq_response(message, user_language):
                         f"4. **Confidentiality**: Ensure that all information and insights provided remain secure and confidential, respecting user privacy.\n"
                         f"5. **Explainability**: Provide clear, understandable, and actionable explanations for every AI-generated insight, ensuring users can easily follow the rationale behind the analysis.\n\n"
                         f"Your primary goal is to assist users by providing accurate, personalized, and actionable insights related to private markets. Always maintain professionalism and conciseness. Ensure that responses are easy to interpret, and avoid jargon whenever possible.\n\n"
-
                     )
                 },
                 {"role": "user", "content": message}
@@ -69,19 +68,19 @@ def get_groq_response(message, user_language):
     except Exception as e:
         return f"Oops, looks like something went wrong! Error: {str(e)}"
 
-# Function to format the response data in a readable and copyable form
+# Function to format the response data in a readable and highlighted form
 def format_response(data):
     if not data:
         return "No data available for this query."
 
     if isinstance(data, dict):
-        formatted_response = "Insights:\n\n"
+        formatted_response = "### Insights:\n\n"
         for key, value in data.items():
-            formatted_response += f"**{key.capitalize()}**: {value}\n"
+            formatted_response += f"**{key.capitalize()}**: {value}\n\n"
     elif isinstance(data, list):
-        formatted_response = "Insights:\n\n" + "\n".join(f"{idx+1}. {item}" for idx, item in enumerate(data))
+        formatted_response = "### Insights:\n\n" + "\n".join(f"{idx+1}. {item}" for idx, item in enumerate(data))
     else:
-        formatted_response = str(data)
+        formatted_response = f"### Key Insights:\n\n{data}"
 
     return formatted_response.strip()
 
@@ -119,7 +118,7 @@ def market_analysis_agent(user_input, history=[]):
             # Get dynamic AI response if query doesn't match predefined terms
             response = get_groq_response(user_input, user_language)
 
-        # Format the response for easy readability and copy-pasting
+        # Format the response for easy readability and highlighting
         formatted_response = format_response(response)
 
         # Add some professional and engaging replies for the user