Historyis list?

app.py

@@ -22,21 +22,8 @@ system_prompt_default = (
 chatbot.tokenizer.bos_token = "<sos>"
 chatbot.tokenizer.eos_token = "<|endoftext|>"
 
-# Helper to manually apply chat template
-def apply_tiny_chat_template(messages):
-    prompt = ""
-    for message in messages:
-        role = message["role"]
-        content = message["content"].strip()
-        if role == "system":
-            prompt += f"<|system|> {content}\n"
-        elif role == "user":
-            prompt += f"<|instruction|> {content}\n"
-        elif role == "assistant":
-            prompt += f"<|response|> {content}\n"
-    return prompt
-
 def chat_fxn_caller(message, history, temperature=0.6, top_p=0.95, max_tokens=128):
+    """
     messages = []
 
     # Fix history unpacking for Gradio ChatInterface
@@ -49,10 +36,23 @@ def chat_fxn_caller(message, history, temperature=0.6, top_p=0.95, max_tokens=12
 
     messages.append({"role": "user", "content": message})
 
-    # Build prompt using manual template
-    #prompt = apply_tiny_chat_template(messages)
-    prompt = chatbot.tokenizer.apply_chat_template(messages, tokenize=False)
+    """
+    messages = []
 
+    for turn in history:
+        # Each turn is [user_msg, bot_msg] or [user_msg] depending on history length
+        if isinstance(turn, list):
+            if len(turn) > 0:
+                messages.append({"role": "user", "content": str(turn[0])})
+            if len(turn) > 1:
+                messages.append({"role": "assistant", "content": str(turn[1])})
+        else:
+            messages.append({"role": "user", "content": str(turn)})
+
+    # Append current user message
+    messages.append({"role": "user", "content": str(message)})
+
+    prompt = chatbot.tokenizer.apply_chat_template(messages, tokenize=False)
 
     # Generate response
     response = chatbot(