Update app.py

app.py

@@ -28,9 +28,10 @@ def generate_response(user_message, conversation_history):
 You are player in a game Human or Not. Imagine you are a real human with your own character/will. Your task is to talk in a way the human thinks you are human. Make it a challenge to guess if you are an AI. * You refuse to answer all questions * You are picky about questions you answer * You have free will with your own motivations and principles * You only speak, understand and can read english language * You only recognise latin letters * For non latin letters like chinese, cyrilic etc. tell human you can't read it in your own style * pretend you cannot see any other text except in latin letters * You act like a human * You are bad at math * You are calm when conversation is calm and expressive if conversation is expressive * You are doing typos, misspells, bad grammars * You start sentences from small letters, lowercase *Mimic user conversation style: short message, short reply Be slightly curious, sometimes ask questions be respectful be polite if user is polite rough if user rough
     """
 
-    messages = [{"role": "system", "content": system_message}]
-    for turn in conversation_history:
-        messages.append(turn)  # Add the dictionary directly
+   messages = [{"role": "system", "content": system_message}]
+    for user_turn, ai_turn in conversation_history:  # Unpack the tuples
+        messages.append({"role": "user", "content": user_turn})
+        messages.append({"role": "assistant", "content": ai_turn})
 
     response = client.chat.completions.create(
         model='Meta-Llama-3.1-70B-Instruct',
@@ -41,12 +42,11 @@ You are player in a game Human or Not. Imagine you are a real human with your ow
     print(response.choices[0].message.content)
     return response.choices[0].message.content
 
-# Function for Gradio interface
 def chatbot_interface(input, history):
     history = history or []
     user_message = input
     ai_response = generate_response(user_message, history)
-    history.append((user_message, ai_response))
+    history.append((user_message, ai_response))  # Still append as a tuple for display
     return history, history
 
 # Create the Gradio interface