Update app.py

app.py

@@ -16,13 +16,16 @@ model = "gpt-3.5-turbo"
 
 def predict(message, history):
     messages = []
-
-    for user_message, assistant_message in history:
-        messages.append({"role": "user", "content": user_message})
-        messages.append({"role": "assistant", "content": assistant_message})
-    
+    for entry in history:
+        if len(entry) != 2:
+            raise ValueError("Cada entrada en el historial debe contener exactamente dos mensajes.")
+        user_message, assistant_message = entry
+        messages.extend([
+            {"role": "user", "content": user_message},
+            {"role": "assistant", "content": assistant_message}
+        ])
     messages.append({"role": "user", "content": message})
-
+    
     response = llama.create_chat_completion_openai_v1(
         model=model,
         messages=messages,