updating formatting

app.py

@@ -15,11 +15,10 @@ from huggingface_hub import InferenceClient
 # Configuration
 
 # Sample questions:
-
-1. **What are the key features of AutoGen v0.4 that I should utilize when converting user requests into agent code?**
-2. **How can I leverage asynchronous messaging in AutoGen v0.4 to enhance my agents performance?**
-3. **What are best practices for writing modular and extensible agent code using AutoGen v0.4?**
-4. **Can you convert this user request into AutoGen v0.4 agent code: "Create an agent that classifies customer feedback into positive, negative, or neutral sentiments."**
+# 1. What are the key features of AutoGen v0.4 that I should utilize when converting user requests into agent code?
+# 2. How can I leverage asynchronous messaging in AutoGen v0.4 to enhance my agents performance?
+# 3. What are best practices for writing modular and extensible agent code using AutoGen v0.4?
+# 4. Can you convert this user request into AutoGen v0.4 agent code: "Create an agent that classifies customer feedback into positive, negative, or neutral sentiments."
 
 DEFAULT_QUESTION = "Ask me anything about converting user requests into AutoGen v0.4 agent code..."
 
@@ -87,7 +86,7 @@ def generate_response(question, history):
             messages = [
                 {
                     "role": "system",
-                    "content": "### MEMORY ###
+                    "content": '''### MEMORY ###
 Recall all previously provided instructions, context, and data throughout this conversation to ensure consistency and coherence. Use the details from the last interaction to guide your response.
 
 ### VISIONARY GUIDANCE ###
@@ -124,7 +123,7 @@ Provide the AutoGen v0.4 agent code that fulfills the user's request. Utilize fe
 - Ensure the code is scalable, modular, and adheres to best practices.
 
 ### START ###
-"
+'''
                 },
                 {
                     "role": "user",
@@ -207,4 +206,4 @@ with gr.Blocks() as demo:
     )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()