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Create app.py
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app.py
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import gradio as gr
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# Cargar modelo y tokenizador
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model = AutoModelForCausalLM.from_pretrained("./mi-chatbot-tecnologico")
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tokenizer = AutoTokenizer.from_pretrained("./mi-chatbot-tecnologico")
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# Funci贸n para generar respuestas
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def responder(pregunta):
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inputs = tokenizer(pregunta, return_tensors="pt")
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outputs = model.generate(**inputs, max_length=50)
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respuesta = tokenizer.decode(outputs[0], skip_special_tokens=True)
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return respuesta
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# Crear interfaz
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iface = gr.Interface(
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fn=responder,
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inputs="text",
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outputs="text",
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title="Chatbot de Tecnolog铆a 馃",
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description="Preg煤ntame sobre programaci贸n, hardware, software y tendencias tecnol贸gicas."
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)
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iface.launch()
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