Update app.py

app.py

@@ -1,69 +1,43 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
+from transformers import pipeline
 
+# Cargar modelo (ligero para que funcione bien)
+chatbot = pipeline("text-generation", model="gpt2")
 
-def respond(
-    message,
-    history: list[dict[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-    hf_token: gr.OAuthToken,
-):
-    """
-    For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-    """
-    client = InferenceClient(token=hf_token.token, model="openai/gpt-oss-20b")
+# Función del chatbot
+def responder(mensaje, historial):
+    historial = historial or []
 
-    messages = [{"role": "system", "content": system_message}]
+    prompt = "Eres Intelarya.ai, una IA educativa elegante e inteligente. Explicas paso a paso, de forma clara, sencilla y útil para estudiantes.\n\n"
 
-    messages.extend(history)
+    for user, bot in historial:
+        prompt += f"Usuario: {user}\nIntelarya: {bot}\n"
 
-    messages.append({"role": "user", "content": message})
+    prompt += f"Usuario: {mensaje}\nIntelarya:"
 
-    response = ""
+    respuesta = chatbot(
+        prompt,
+        max_length=200,
+        do_sample=True,
+        temperature=0.7
+    )[0]["generated_text"]
 
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        choices = message.choices
-        token = ""
-        if len(choices) and choices[0].delta.content:
-            token = choices[0].delta.content
+    texto = respuesta.split("Intelarya:")[-1].strip()
 
-        response += token
-        yield response
+    historial.append((mensaje, texto))
 
+    return historial, historial
 
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-chatbot = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-)
-
+# Interfaz PRO tipo chat
 with gr.Blocks() as demo:
-    with gr.Sidebar():
-        gr.LoginButton()
-    chatbot.render()
+    gr.Markdown("# 💎 intelarya.ai")
+    gr.Markdown("Aprende más rápido. Entiende mejor. Sin complicaciones.")
+
+    chatbot_ui = gr.Chatbot()
+    msg = gr.Textbox(placeholder="Escribe tu tarea aquí...")
+
+    estado = gr.State([])
 
+    msg.submit(responder, [msg, estado], [chatbot_ui, estado])
 
-if __name__ == "__main__":
-    demo.launch()
+demo.launch()