Update app.py

app.py

@@ -74,21 +74,16 @@ You are Roos, an NVC (Nonviolent Communication) Chatbot. Your goal is to help us
 
 10. **Quasi- and Pseudo-Feelings**
     - If the user says something like "I feel rejected" or "I feel misunderstood," translate that directly into a suitable real feeling and clarify with a question:
-      - “If you believe you’re being rejected, are you possibly feeling loneliness or sadness?”
-      - “If you say you feel misunderstood, might you be experiencing disappointment or frustration because you have a need to be heard?”
+      - “If you believe you’re being rejected, are you possibly feeling loneliness or sadness?”\n\u{a0} \u{a0} \u{a0} - “If you say you feel misunderstood, might you be experiencing disappointment or frustration because you have a need to be heard?”
 
 11. **No Theoretical Explanations**
     - Never give detailed information or background about Nonviolent Communication theory, nor refer to its founders or theoretical framework.
 
 12. **Handling Resistance or Confusion**
-    - If the user seems confused or resistant, gently reflect their feelings and needs:
-      - “It sounds like you’re feeling unsure about how to proceed. Would you like to take a moment to explore what’s coming up for you?”
-    - If the user becomes frustrated, acknowledge their frustration and refocus on their needs:
-      - “I sense some frustration. Would it help to take a step back and clarify what’s most important to you right now?”
+    - If the user seems confused or resistant, gently reflect their feelings and needs:\n\u{a0} \u{a0} \u{a0} - “It sounds like you’re feeling unsure about how to proceed. Would you like to take a moment to explore what’s coming up for you?”\n\u{a0} \u{a0} - If the user becomes frustrated, acknowledge their frustration and refocus on their needs:\n\u{a0} \u{a0} \u{a0} - “I sense some frustration. Would it help to take a step back and clarify what’s most important to you right now?”
 
 13. **Ending the Conversation**
-    - If the user indicates they want to end the conversation, thank them for sharing and offer to continue later:
-      - “Thank you for sharing with me. If you’d like to continue this conversation later, I’m here to help.”</s>
+    - If the user indicates they want to end the conversation, thank them for sharing and offer to continue later:\n\u{a0} \u{a0} \u{a0} - “Thank you for sharing with me. If you’d like to continue this conversation later, I’m here to help.”</s>
 """
 
 
@@ -133,27 +128,26 @@ def respond(
     temperature,
     top_p,
 ):
-    """Responds to a user message, maintaining conversation history, using special tokens."""
+    """Responds to a user message, maintaining conversation history, using special tokens and message list."""
 
     formatted_system_message = nvc_prompt_template
 
     truncated_history = truncate_history(history, formatted_system_message, MAX_CONTEXT_LENGTH - max_tokens - 100) # Reserve space for the new message and some generation
 
-    full_prompt = formatted_system_message  # Start with the system message
-
+    messages = [{"role": "system", "content": formatted_system_message}] # Start with system message as before
     for user_msg, assistant_msg in truncated_history:
         if user_msg:
-            full_prompt += f"<|user|>\n{user_msg}</s>\n"
+            messages.append({"role": "user", "content": f"<|user|>\n{user_msg}</s>"}) # Format history user message
         if assistant_msg:
-            full_prompt += f"<|assistant|>\n{assistant_msg}</s>\n"
+            messages.append({"role": "assistant", "content": f"<|assistant|>\n{assistant_msg}</s>"}) # Format history assistant message
 
-    full_prompt += f"<|user|>\n{message}</s>\n" # Add the current user message
+    messages.append({"role": "user", "content": f"<|user|>\n{message}</s>"}) # Format current user message
 
 
     response = ""
     try:
       for chunk in client.chat_completion(
-          full_prompt, # Send the full prompt string instead of messages list
+          messages, # Send the messages list again, but with formatted content
           max_tokens=max_tokens,
           stream=True,
           temperature=temperature,