# SOME DESCRIPTIVE TITLE.
# Copyright (C) 2023, Xorbits Inc.
# This file is distributed under the same license as the Xinference package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2023.
#
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msgid ""
msgstr ""
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#: ../../source/examples/pdf_chatbot.rst:5
msgid "Example: PDF Chatbot📚"
msgstr "Ejemplo: Chatbot de PDF 📚"

#: ../../source/examples/pdf_chatbot.rst:7
msgid "**Description**:"
msgstr "**Descripción**:"

#: ../../source/examples/pdf_chatbot.rst:9
msgid ""
"This example showcases how to build a PDF chatbot with local LLM and "
"Embedding models"
msgstr ""
"Este ejemplo muestra cómo construir un chatbot de PDF utilizando un LLM "
"local y un modelo de embedding."

#: ../../source/examples/pdf_chatbot.rst:11
msgid "**Used Technology**:"
msgstr "**Tecnología involucrada**:"

#: ../../source/examples/pdf_chatbot.rst:13
msgid ""
"@ `Xinference <https://github.com/xorbitsai/inference>`_ as a LLM model "
"hosting service"
msgstr ""
"@ `Xinference <https://github.com/xorbitsai/inference>`_ como servicio de "
"alojamiento de modelos LLM"

#: ../../source/examples/pdf_chatbot.rst:15
msgid ""
"@ `LlamaIndex <https://github.com/run-llama/llama_index>`_ for orchestrating"
" the entire RAG pipeline"
msgstr ""
"@ `LlamaIndex <https://github.com/run-llama/llama_index>`_ se utiliza para "
"orquestar todo el pipeline de RAG."

#: ../../source/examples/pdf_chatbot.rst:17
msgid "@ `Streamlit <https://streamlit.io/>`_ for interactive UI"
msgstr ""
"@ `Streamlit <https://streamlit.io/>`_ se utiliza para la interfaz de "
"usuario interactiva."

#: ../../source/examples/pdf_chatbot.rst:19
msgid "**Detailed Explanation on the Demo Functionality** :"
msgstr "**Explicación detallada sobre las funciones de demostración**:"

#: ../../source/examples/pdf_chatbot.rst:21
msgid ""
"Crafted a Dockerfile to simplify the process and ensure easy "
"reproducibility."
msgstr ""
"Se ha creado un Dockerfile que simplifica el proceso de implementación "
"mediante Docker y garantiza que sea fácil de reproducir."

#: ../../source/examples/pdf_chatbot.rst:23
msgid "Set up models with Xinference and expose two ports for accessing them."
msgstr ""
"Usa Xinference para levantar los modelos LLM y embedding, y expón dos "
"puertos para acceder a ellos."

#: ../../source/examples/pdf_chatbot.rst:25
msgid ""
"Leverage Streamlit for seamless file uploads and interactive communication "
"with the chat engine."
msgstr ""
"Implementación de carga de archivos sin interrupciones e interacción de "
"comunicación con el motor de chat utilizando Streamlit."

#: ../../source/examples/pdf_chatbot.rst:27
msgid "5x faster doc embedding than OpenAI's API."
msgstr ""
"La velocidad de embedding de documentos es 5 veces más rápida que la API de "
"OpenAI."

#: ../../source/examples/pdf_chatbot.rst:29
msgid ""
"Leveraging the power of GGML to offload models to the GPU, ensuring swift "
"acceleration. Less long waits for returns."
msgstr ""
"Aproveche el poder de GGML para ejecutar el modelo en la GPU, garantizando "
"aceleración y reducción del tiempo de espera para la respuesta."

#: ../../source/examples/pdf_chatbot.rst:31
msgid "**Source Code** :"
msgstr "Código fuente"

#: ../../source/examples/pdf_chatbot.rst:32
msgid ""
"`PDF Chatbot <https://github.com/onesuper/PDF-Chatbot-Local-LLM-"
"Embeddings>`_"
msgstr ""
