Update app.py

app.py

@@ -1,31 +1,36 @@
 import gradio as gr
 from transformers import pipeline
 
-# Cargar modelo ligero
+# Modelo
 generator = pipeline("text-generation", model="gpt2")
 
 def responder(message, history):
     history = history or []
 
-    prompt = "Eres Intelarya.ai, una IA educativa que explica claro y paso a paso.\n\n"
+    prompt = "Eres Intelarya.ai, una IA educativa que explica paso a paso de forma clara.\n\n"
 
-    for h in history:
-        prompt += f"Usuario: {h[0]}\nIntelarya: {h[1]}\n"
+    for msg in history:
+        if msg["role"] == "user":
+            prompt += f"Usuario: {msg['content']}\n"
+        else:
+            prompt += f"Intelarya: {msg['content']}\n"
 
     prompt += f"Usuario: {message}\nIntelarya:"
 
     result = generator(prompt, max_length=150, do_sample=True, temperature=0.7)
     response = result[0]["generated_text"].split("Intelarya:")[-1].strip()
 
-    history.append((message, response))
+    history.append({"role": "user", "content": message})
+    history.append({"role": "assistant", "content": response})
+
     return history, history
 
 with gr.Blocks() as demo:
     gr.Markdown("# 💎 intelarya.ai")
     gr.Markdown("Aprende más rápido. Entiende mejor. Sin complicaciones.")
 
-    chatbot = gr.Chatbot()
-    msg = gr.Textbox()
+    chatbot = gr.Chatbot(type="messages")
+    msg = gr.Textbox(placeholder="Escribe tu tarea aquí...")
 
     state = gr.State([])