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Update app.py
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app.py
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@@ -127,9 +127,15 @@ def main():
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# Interface de chat
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if prompt := st.chat_input("Escribe tu mensaje aquí"):
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st.
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with st.chat_message("assistant"):
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try:
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@@ -139,21 +145,60 @@ def main():
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except Exception as e:
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st.error(f"Error generando respuesta: {str(e)}")
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# Sidebar con
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with st.sidebar:
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st.markdown(""
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### Acerca de
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Este demo usa Llama 3.2-3B-Instruct, el nuevo modelo de Meta.
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if __name__ == "__main__":
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main()
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# Interface de chat
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if prompt := st.chat_input("Escribe tu mensaje aquí"):
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with st.chat_message("assistant"):
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try:
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response = st.session_state.llama.generate_response(
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prompt,
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**generation_params
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)
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st.markdown(response)
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except Exception as e:
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st.error(f"Error: {str(e)}")
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with st.chat_message("assistant"):
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try:
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except Exception as e:
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st.error(f"Error generando respuesta: {str(e)}")
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# Sidebar con controles de generación
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with st.sidebar:
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st.markdown("### Parámetros de Generación")
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generation_params = {
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'temperature': st.slider(
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"Temperatura (creatividad vs precisión)",
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min_value=0.1,
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max_value=1.0,
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value=0.6,
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step=0.1,
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help="Valores más bajos = respuestas más precisas"
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),
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'max_new_tokens': st.slider(
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"Longitud máxima",
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min_value=64,
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max_value=1024,
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value=512,
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step=64,
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help="Longitud máxima de la respuesta"
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),
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'top_p': st.slider(
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"Top-p (núcleo de probabilidad)",
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min_value=0.1,
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max_value=1.0,
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value=0.85,
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step=0.05
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)
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}
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with st.expander("Parámetros Avanzados"):
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generation_params.update({
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'repetition_penalty': st.slider(
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"Penalización por repetición",
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min_value=1.0,
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max_value=2.0,
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value=1.2,
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step=0.1
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),
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'top_k': st.slider(
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"Top-k tokens",
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min_value=1,
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max_value=100,
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value=50,
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step=1
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)
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})
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st.markdown("""
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### Guía de Parámetros
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- **Temperatura**: Menor = más preciso, Mayor = más creativo
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- **Top-p**: Control sobre la variabilidad de respuestas
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- **Longitud**: Ajustar según necesidad de detalle
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""")
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if __name__ == "__main__":
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main()
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